Infrastructure and Environment

Speaker: Dr Mokarram Hossain

Title: Experimental characterization of soft materials: some challenges and potential solutions

Abstract: Soft matter such as multi-functional rubber-like materials and active hydrogels gain unprecedented attention in recent years thanks to their wide-spread potential applications in soft robotics to drug delivery in healthcare sectors. While applications of soft matter are increasing exponentially, robust synthesis techniques and appropriate experimental set-ups of these complex materials are paramount. Experimental characterisations of soft matter are multi-facets.  On the one hand, soft materials have complex mechanical and physical characteristics such as extreme deformations, strain and time-dependence, stress-softening, degradations, temperature and environment sensitivity. One the other hand, sample preparations from materials, representations and fixations within experimental set-ups; data extraction and monitoring etc face challenges due to their finite deformations and intricate micro-mechanicals structures. In this talk, several challenges in the case of experimental characterisations of soft polymers will be presented followed by their potential solutions that have been identified in our lab over the last few years. 

Speaker: Dr Tobias Keller

Title: Modelling multi-phase flows in magmatic systems

Abstract: This research presents a comprehensive theoretical model for multi-phase flows in magmatic systems, addressing a key gap in representing mush flows at intermediate melt fractions. While previous models have been limited to porous and suspension flows, this approach presents a generalised model for an arbitrary number of compressible, viscous material phases including solids, liquids, and gases. The model uses mixture theory to construct governing equations and a finite-differences to implement the theory into a numerical model. Simulations reproduce known behaviours in two-phase porous and suspension flows, as well as novel dynamics in the mush regime, such as melt-shear localisation into stress-aligned bands. The model’s versatility is further demonstrated through three- and four-phase flow applications including crystal settling and bubble flotation in a crystallising magma body, immiscible Fe-rich melt segregation in magmatic ore genesis, and Fe-FeS droplet and particle settling in planetesimal core formation.

Speaker: Alan Ferguson

Title: Population-based Structural Health Monitoring: Influence Lines and Data Collection

Abstract: In this seminar, I will present my recent work in population-based structural health monitoring (PBSHM) with a focus on bridges. The talk will cover the development of non-dimensional influence lines for condition assessment across bridge populations and the design of filters to extract quasi-static bridge responses using these influence lines. Additionally, I will describe the on-going development of a roles-based data collection methodology within the PBSHM ecosystem.

Bio: Alan Ferguson is a Research Fellow at Queen’s University Belfast, UK, working as part of the ROSEHIPS project (pbshm.ac.uk). His research focuses on developing population-based input-output monitoring techniques and exploring the integration of embedded systems/edge compute in population-based SHM. His work aims to enable real-time analysis and decision-making whilst ensuring data residency and privacy. He completed his PhD in Electrical and Electronic Engineering at Queen’s University Belfast, where he investigated bridge SHM in resource-constrained environments. His PhD research encompassed input-output methods for damage detection and localisation, event detection, and adaptive sampling algorithms for embedded sensing systems.

Speaker: Dr Isaac Vikram Chenchiah

Speaker: Dr Kimiaki Washino

Title: A Universal Coarse-Grain Model for Discrete Element Method
 
Abstract: Discrete Element Method (DEM) has become a popular choice of simulating particulate flows. In DEM, all forces and torques acting on individual particles in a system are modelled to determine their trajectories by solving Newton’s equations of motion numerically. DEM has many advantages over a Eulerian model; it is straightforward to include various kinds of inter-particle forces such as contact, liquid bridge and van der Waals forces, and individualparticle properties such as size and shape can be directly considered. On the other hand, one of the major challenges of DEM is the extremely high computational cost, that makes it difficult to perform simulations of a large (industrial) scale system.
A coarse-grain model has become increasingly popular to reduce the computational cost in DEM: large model particles (coarse-grained particles) are used in simulation to represent the small original particles so that the number of particles tracked is decreased and the time step interval is increased. The existing coarse-grain particle models may be largely classified into the parameter scaling and direct force scaling approaches. The former employs scaled-up physical properties and parameters (often based on some dimensionless numbers) to achieve similarity to the original particle system. The latter first estimates the forces and torques acting on the original particles using the original physical properties and variables, which are directly scaled and exerted on the coarse-grained particles. In either way, most of the scaling laws in the literature are specific to the force and torque models used, and very few of them, if not none, are applied to non-spherical particles.
In this work, a universal coarse-grain particle model is developed that can be used with any forces, torques and shape models in principle. The model is based on the direct force scaling approach, and the bulk particles are regarded as a continuum to derive a generic scaling law. Various types of simulations are carried out with different contact forces, cohesive forces, rolling resistances, and shape models as well as fluid coupling simulations with gas-liquid-solid phases. It is found that the proposed model can reasonably predict the bulk motion of the original particles in these simulations.
 
Short bio: Dr Kimiaki Washino is a Senior Lecturer in the Department of Mechanical Engineering at Osaka University since 2018. He received his PhD from the University of Sheffield in 2011 and became a Knowledge Transfer Partnership (KTP) Associate between the University of Sheffield and Procter & Gamble. He moved to Osaka University as an Assistant Professor in 2013. He has been working on modelling and simulation of complex multiphase flows (especially gas-liquid-solid flows) using Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD). He is also a co-founder and CIO of DENSE Ltd. for consultation of multiphase flow simulations.

Speaker: Dr Christos Mourlas

Title: Assessment of Reinforced Concrete Structures based on 3D Detailed Nonlinear Finite Element Simulations under extreme loading conditions

Abstract: Modelling of concrete through 3D constitutive material models is a challenging subject due to the numerous nonlinearities that occur during the monotonic and cyclic analysis of reinforced concrete structures. It is well known that the numerical solution procedure becomes extremely cumbersome suffering from convergence issues when dealing with this numerically unstable and computationally demanding problem. Thus, many studies have been proposed in the literature using 1D and 2D models and introducing significant simplification assumptions in-terms of material behavior and the structural geometry. In light of these modeling limitations, the main objective of this research work is to alleviate the above-mentioned numerical constraints bydeveloping a state-of-the-art 3D detail modeling approach that will provide the ability to perform dynamic nonlinear analysis on large-scale reinforced concrete structures by accounting for Soil-Structure Interaction phenomena. Finally, some other future research plans and applications will be presented.

Speaker: Prof Xiang Liu

Title: Dynamic Stiffness Method and Its Applications in Complex Built-Up Structures within Rail Transportation

Abstract: In rail transportation engineering, vehicles and infrastructure are often modeled as complex built-up structures. Understanding their dynamic, wave, and vibro-acoustic behaviors is crucial for ensuring comfort, safety, and reliability. However, different frequency ranges require distinct modeling approaches due to their inherent complexities, particularly in the mid-frequency range, which remains challenging. Analytical solutions, while exact and applicable across all frequency ranges, are limited to simple structures with straightforward boundary conditions. The finite element method, widely used for complex structures, is effective only in the low-frequency domain, whereas statistical energy analysis is confined to high-frequency scenarios.
This talk will introduce recent advancements in combining the advantages of both analytical and numerical methods to address these challenges. Specifically, it focuses on extending the dynamic stiffness method—known for its exact shape functions—into complex built-up systems comprising rigid bodies, beams, plates, shells, and acoustically coupled cavities. By developing analytical models at material, component, and system scales, and proposing robust and efficient eigenvalue and response algorithms, this approach offers a significant improvement in computational efficiency and accuracy. Applications of the dynamic stiffness method in modal analysis, dynamic response, wave propagation, vibro-acoustics, and fluid-structure interaction for various complex structures, including train bodies, windshield systems, bogies, pantographs, catenary systems, bridges, pavements, pile foundations and etc. will be discussed. Additionally, this method has been implemented in several software programs developed for the railway industry, demonstrating computational efficiency improvements of over two orders of magnitude compared to commercial software solutions.

Xiang Liu’s short bio: Dr. Xiang Liu is a Full Professor at the School of Traffic & Transportation Engineering, Central South University. His research expertise lies in the fields of structural dynamics, noise and vibration control, fluid-structure interaction, and computational mechanics, with a particular focus on rail transportation engineering. He studied for his Bachelor (Civil Engineering), Master (Geotechnical Engineering) and PhD (Railway engineering) in Central South University, another PhD in applied mathematics from University of Glasgow. Then he served as a Research Fellow specializing in structural dynamics at City, University of London, before returning to Central South University as a Professor in 2017. Dr. Liu is an active contributor to the academic community, serving on the editorial boards of six scientific journals. Over the past five years, he has published more than 50 peer-reviewed journal papers, secured 20 patents, and led research projects totaling over 16 million CNY (approximately £1.8 million) in funding as PI.

Speaker: Yue Yu

Title: Learning Nonlocal Neural Operators for Material Modeling

Abstract: During the last 20 years there has been a lot of progress in applying neural networks (NNs) to many machine learning tasks. However, their employment in scientific machine learning with the purpose of learning complex responses of physical systems from experimental measurements has been explored much less. In this talk, we will consider learning of heterogeneous material responses as an exemplar problem to investigate automated physical model discovery from experimental data. In particular, we propose to parameterize the mapping between excitation and corresponding system responses in the form of nonlocal neural operators, and infer the neural network parameters from experimental measurements. As such, the model is built as mappings between infinite-dimensional function spaces, and the learnt network parameters are resolution-agnostic. Moreover, the nonlocal operator architecture also allows the incorporation of fundamental mathematical and physics knowledge. Both properties improve the learning efficacy and robustness from scarce measurements.

To demonstrate the applicability of our nonlocal operator learning framework, three typical scenarios will be discussed: (1) learning of a material-specific constitutive law, (2) learning of an efficient PDE solution operator, and (3) development of a foundation constitutive law across multiple materials. As an application, we learn material models directly from digital image correlation (DIC) displacement tracking measurements on a porcine tricuspid valve leaflet tissue, and we will show that the learnt model substantially outperforms conventional constitutive models.

Short Bio: Yue Yu received her B.S. from Peking University in 2008, and her Ph.D. from Brown University in 2014. She was a postdoc fellow at Harvard University after graduation, and then she joined Lehigh University as an assistant professor of applied mathematics and was promoted to full professor in 2023. Her research lies in the area of numerical analysis and scientific computing, with recent projects focusing on nonlocal problems and scientific machine learning. She has received an NSF Early Career award and an AFOSR Young Investigator Program (YIP) award.

Speaker: Dr Luca Heltai

Title: The Reduced Lagrange multipliers approach: dimensionality reduction and coupling across heterogeneous dimensions in multi-physics problems

Abstract:

Many physical problems involving heterogeneous spatial scales, such as the flow-through fractured porous media, the study of fiber-reinforced materials, or the modeling of blood circulation in living tissues -- just to mention a few examples -- can be described as coupled partial differential equations defined in domains of heterogeneous dimensions that are embedded into each other. The definition and the approximation of coupling operators that are suitable for such problems remain challenging, both theoretically and computationally.

In this talk I will present the combination of two mathematical techniques that can be used to construct natural dimensionality reduction techniquesœ and coupling operators across heterogeneous dimensions. In particular, I will show how non-matching and immersed finite element methods can be used to enable the mesoscale resolution of problems with embedded structures, and how they provide a natural way to perform geometric dimensionality reduction. I will discuss how to define systematically geometrical reduction operators that, combined with non-matching techniques, and how this allows the formulation of coupled multi-physics and multi-dimensional problems in a mathematically consistent way. I will analyze the model error deriving from the dimensionality reduction, and provide some relevant numerical examples.

Speaker: Riaz Akhtar

Title: The Aorta: Structure and Rupture through the lens of micromechanics

Abstract: The aorta is the most important conduit for blood flow in the human body. The extracellular matrix (ECM) provides a structural framework for normal, healthy function of the aorta. This ECM framework is composed of a 3D arrangement of elastin, collagen, proteoglycans which are synthesised during fetal development. With ageing and with aortic disease such as aneurysm formation, protease activity and degradation of the ECM increases.

Amongst the various aortic diseases, Thoracic aortic aneurysms (TAAs) are a devastating condition where the aorta can dilate significantly beyond its normal diameter and rupture. Often these go undetected and misdiagnosis can be fatal. Sometimes the cause of TAAs is unknown (non-syndromic) but the most common cause of TAAs are genetic conditions such as Bicuspid Aortic Valve (BAV) disease. This talk will focus on micromechanical and biochemical differences in patients with BAV as compared to non-syndromic patients. Implications of current surgical treatment and guidelines will be discussed.

Bio: Riaz Akhtar is a Reader in Biomedical Engineering at the University of Liverpool. His research largely focusses on structure-property relationships in ageing and diseased soft tissues at the nano- and micron- level. His work spans a number of biomaterials and tissues including hydrogels, cardiovascular tissues, ocular tissues and skin. The main thrust of Riaz’s research is on aortic disease biomechanics and he co-established the LABB Group (www.labb-group.com) and is a member of the Liverpool Centre of Cardiovascular Sciences. Riaz has published over 70 peer reviewed papers and has received several honours and awards for his research including the Bob Bonser Prize for Aortic Surgery (2019) and held a Royal Academy of Engineering/Leverhulme Trust fellowship in 2017-18.

Speaker: Prof Paul Steinmann

Title: Modelling and Simulation of Bacterial Colony Formation: Challenges in Health and Computations

Speaker: Dr. Sang-ri Yi

Speaker: Prof Junho Song

Speaker: Santanu Manna

Abstract: 

Seismic metasurface shows promising applications for the development of earthquake-resistant structures and improved seismic imaging and sensing capabilities. This work presents a new design for a metasurface consisting of an array of 2-DOF nonlinear spring-mass systems attached via a linear elastic spring to a nonlocal elastic substrate. Our research has integrated the concepts of nonlinearity in a double spring-mass system with the nonlocal elasticity effects in the substrate to investigate the dispersive properties of hybrid Rayleigh waves. This compact construction has resulted in providing multi-frequency attenuation via multi-frequency bandgaps. The presence of nonlinearity in the multi-resonators can be argued to be responsible for the existence of these multi-frequency bandgaps. Numerous plots are plotted in MATLAB to demonstrate the effects of nonlocal elasticity and the velocity ratio of the host substrate, nonlinearities, and relative amplitude inputs of the spring-mass system on the spectral bandgaps.

Speaker Bio:

Dr. Santanu Manna is an Assistant Professor at the Department of Mathematics, Indian Institute of Technology Indore. Prior to that, he spent around one year as Newton International Fellow by the Royal Society at the School of Computing & Applied Mathematics, Keele University, United Kingdom. He was a Post-Doctoral Research Scientist at Indian Institute of Science Education and Research Kolkata during 2015-2016. Dr. Manna received the Ph.D. degree in Applied Mathematics from Indian Institute of Technology (ISM) Dhanbad in 2015.

His research interests include Applied PDEs: Elastic wave propagation aspects, Geomechanics, Plate theory, & earthquake statistics. He has published more than 35 refereed journal papers of international repute (SCI journals). 

Speaker: Michael Crichton

Title: The case for understanding soft-tissue mechanics to enable new wearable and implantable technologies

Abstract: In the past decade, skin and other soft tissues have received substantial research focus due in part to the surge in popularity of wearable and implantable technologies. Researchers developing sensor technologies often use the term ‘wearable’ for the purpose of indicating ‘pain free’, ‘non-invasive’, ‘personalised medicine’ and ‘AI-driven diagnostics’, but the number of devices on the market that can do substantially more than measure heart rate and movement is limited. Part of the reason for this is that the complexity of the soft tissue interfaces of tissues are often overlooked. In this presentation we will provide an overview of how an understanding of biological tissue mechanics is allowing us to develop new sensing modalities for health conditions including wound healing, the birthing process, incontinence and traumatic injury.

Bio: Michael Crichton is an Associate Professor in Biomedical Engineering at Heriot-Watt University where his research focusses on the interfaces between biology and engineered technologies. He is interested in how the mechanical interactions of our bodies can tell us about an individual’s health and their longer term progression through health states. Michael’s research takes an experimental  multi-disciplinary approach to the development of novel biomedical devices centred on clinical needs. He is passionate about working to understand how to derive impact for patients from technology advances, and is involved in a range of initiatives to help progress medical technologies. Michael has a PhD in microneedle vaccine delivery from the University of Queensland, and an undergraduate engineering degree from Glasgow University. He also has spent time in industry in a startup medical device company, and holds licenced patents in this area.

Speaker: Atin Roy

The reliability analysis of structure involves the evaluation of a multi-dimensional integral which is a daunting task for large complex systems. For that reason, various analytical reliability methods based on Taylor series expansion and various simulation methods are developed to circumvent the issue. Monte Carlo simulation (MCS) is the most preferred choice among reliability methods for its accuracy and straightforward concept. However, the MCS technique requires a large number of MCS samples to estimate a small failure probability. Thus, the computational demand for reliability analysis to perform repetitive LSF evaluations, especially when finite element analysis is involved, is very high. In this context, various machine learning-based metamodeling techniques emerged as an effective alternative that builds a fast-running digital twin of structures to obtain an approximate LSF. The main challenge in metamodel-based reliability analysis is estimating the failure probability enough accurately utilizing a limited number of actual LSF evaluations. In this talk, an efficient support vector regression (SVR) based approach for constructing the digital twin of structures to approximate the response of structures for an improved estimate of reliability will be discussed. An improvement is also proposed to address the issue of estimating very low failure probability with a limited computational resource. Further, a  modification is incorporated to employ an SVR-based digital twin for seismic reliability analysis of structures.

Speaker: Prof Paul Steinmann

Configurational Mechanics and Peridynamics Reconciled

We introduce the novel notion of configurational peridynamics in a geometrically exact setting. Therein peridynamics denotes a popular non-local continuum formulation that combines modelling concepts from molecular and continuum mechanics, whereas configurational mechanics considers energy release (or consumption) due to changes in the material configuration. These are especially relevant at singular points in the geometry of a continuum body such as crack tips and corners. We detail the expression of the peridynamic potential energy functional and its spatial and material variations, based on introducing the novel concept of bond-number double-density. As a result,  we advocate the definition of Piola- and (energy-momentum format) Cauchy-type bond-wise interaction forces entering the point-wise force balance in spatial and material setting. Specifically, the point-wise material body force density in peridynamics is a result of a non-local pull-back of the common bond-wise spatial interaction forces, thereby capturing the contribution of non-locality to the configurational force system. We elucidate the pertinent implications of configurational peridynamics via a computational example and comparison to local configurational continuum mechanics. Taken together, configurational peridynamics opens, for the first time, the door to consider configurational changes, such as initiating and propagating a truly topology altering crack set, in a peridynamics continuum body.  

Speaker: Benjamin Alheit

Title: Development of a finite element code for multiscale modelling of large plastic deformations in polycrystalline materials at elevated temperatures

Abstract: Metal alloys commonly contain non-metallic elements, which, during thermomechanical processing, precipitate out of solution to form intermetallic particles (IMPs) embedded in a polycrystalline matrix. It has been observed, at least anecdotally, that IMPs endow the bulk material with mechanical properties in certain industrial applications. For example, in the forming of beverage can body, IMPs are thought to improve galling resistance. Additionally, it has been hypothesized that IMPs affect texture evolution, which, in turn, affects macroscale anisotropic yield behaviour. Clearly, it would be useful to have a computational tool to investigate the validity of the afore mentioned hypotheses and anecdotal observations. The development of such a tool using the finite element library deal.ii is the topic of this presentation.

The outline of the presentation is as follows:

1. Some high-level aspects of the code design;
2. Illustration of some of the code features:
• Finite strain rate-dependent polycrystalline plasticity;
• Finite strain rate-dependent single crystal plasticity;
• Periodic boundary conditions;
• Homogenization operations.
3. Preliminary studies on representative volume elements (RVEs) containing IMPs and face centred cubic (FCC) crystals;
4. Preliminary studies of plane strain compression tests;
5. Implementation of an arbitrary Lagrangian Eulerian (ALE) formulation for large plastic deformations – work in progress.

Bio: Benjamin Alheit recently completed his PhD at the University of Cape Town and currently holds a Postdoctoral Fellowship to conduct research within the Centre for Research in Computational and Applied Mechanics (CERECAM) and the Centre for Materials Engineering (CME). His research interests are in the broad domain of computational solid mechanics, with a particular interest in scientific software development, material characterisation, and multiscale modelling. His PhD work concerned multiscale modelling of biological structures and has been published in the Journal of the Mechanics and Physics of Solids, Acta Biomaterialia, and the Journal of the Mechanical Behaviour of Biological Materials.

Zoom link: https://uofglasgow.zoom.us/j/81996798950?pwd=ZUFIV3pKZVczakxhTW9wS05jOGI0Zz09

Speaker: Dr Dimitra Achillopoulou

The emerging technologies and techniques of the current digital era have increased the reliability of structural health monitoring (SHM) systems, and the accuracy and recoverability of their measurements. If compared to contact sensors measurements, CV-based systems are resilient since they are replaceable, adaptive, and can be paired with emerging technologies (i.e., Machine Learning /ML and Artificial intelligence/AI) to interpret and predict bridge response and update design codes for plausible hazards. Recently, as natural and human-induced hazards are becoming more frequent and disturbing, adaptive pathways were introduced to help flexible and dynamic decision-making and adaptive management. SHM and other emerging technologies (i.e. CV-based systems, AI, and ML) can play a crucial role in developing adaptive pathways through the lifetime of critical assets. The seminar (1) introduces adaptive pathways methods, (2) proposes an enhanced and smart adaptive pathway framework benefiting from the resilience of emerging technologies to reduce uncertainties (3) discusses emerging technologies in SHM and how they inform resilience and adaptation, (4) introduces the adaptive aspects of monitoring systemsand AI methods, and (5) develops climate change adaptive pathways case study (bridge).

Bio

Dr Dimitra V Achillopoulou (PhD, MSc, MENG, BSc) is a Lecturer of Structural Design in James Watt School of Engineering, University of Glasgow.  She has worked as an Assistant Professor of Structural Engineering in Democritus 

University of Thrace (2017-2022), Marie Curie Research Fellow (2019-2021), Visiting Researcher (2021-2022) at the University of Surrey and as a Research Fellow at La Sapienza University of Rome (2014-2017). 

She has research experience on shear transfer mechanisms, interfaces of concrete elements, strengthening of structures (composites (FRPs, stiff jacketing) and monitoring  (damage detection/ characterization) with guided waves. 

Lately, her research focuses on monitoring of transport infrastructure assets, their rapid risk and resilience quantifications using SHM data to further develop adaptive pathways. Also, she is currently working in digitalization of FRP strengthening measures using fiber optics sensor for self-sensing/ reporting strengthening schemes using nanotechnology. 

Speaker: Santiago Romero-Vargas Castrillón

Nanoscale insights into (bio-)colloid surface forces are essential to the formulation of effective fouling control strategies in environmental interfaces. This talk will present recent progress towards the elucidation of colloidal and bacterial adhesion mechanisms using AFM-based force spectroscopy.

In the first part of the talk, AFM is used to investigate the effect of feed temperature on reverse osmosis membrane fouling by alginate, a major component of bacterial biofilms. AFM colloidal probe measurements enabled us to rationalize the observed fouling kinetics in cross-flow experiments. We found that hydrophobic interactions drive fouling at 27 °C. With rising feed temperature, however, these interactions became weaker, but fouling was nonetheless severe because of the increase in membrane permeance, which increased the flux of foulant to the membrane. Our experiments thus indicate that interfacial properties are the main determinant of fouling at near-ambient temperatures, while permeance-driven convection dominates fouling at higher (i.e., 35-40 °C) temperature.

In the second part of the talk we investigated adhesion of Pseudomonas fluorescenson surfaces functionalized with graphene oxide (GO), a 2D nanomaterial with potential as a biocidal surface coating. We demonstrated that P. fluorescensadhesion is stronger in GO interfaces assembled from horizontally arranged nanosheets, as compared to edge-tethered GO sheets, where electrostatic and steric repulsion weakened adhesion forces. Our results therefore emphasize the importance of nanosheet spatial arrangement and conformational disorder in determining the interfacial behavior of GO-functionalized substrates.

About the speaker: Santiago Romero-Vargas Castrillón is a Senior Lecturer in chemical engineering at the University of Edinburgh, affiliated with the Institute for Infrastructure and Environment. He received his PhD in chemical engineering from Princeton University, and carried out postdoctoral research in environmental engineering at Yale University. Before coming to Edinburgh in late 2018, he was an Assistant Professor of environmental engineering at the University of Minnesota. His recent research has focused on colloid and interface science in environmental systems, membrane separations, and the environmental applications of 2D nanomaterials.

Speaker: Santiago Romero-Vargas Castrillón

Nanoscale insights into (bio-)colloid surface forces are essential to the formulation of effective fouling control strategies in environmental interfaces. This talk will present recent progress towards the elucidation of colloidal and bacterial adhesion mechanisms using AFM-based force spectroscopy.

In the first part of the talk, AFM is used to investigate the effect of feed temperature on reverse osmosis membrane fouling by alginate, a major component of bacterial biofilms. AFM colloidal probe measurements enabled us to rationalize the observed fouling kinetics in cross-flow experiments. We found that hydrophobic interactions drive fouling at 27 °C. With rising feed temperature, however, these interactions became weaker, but fouling was nonetheless severe because of the increase in membrane permeance, which increased the flux of foulant to the membrane. Our experiments thus indicate that interfacial properties are the main determinant of fouling at near-ambient temperatures, while permeance-driven convection dominates fouling at higher (i.e., 35-40 °C) temperature.

In the second part of the talk we investigated adhesion of Pseudomonas fluorescenson surfaces functionalized with graphene oxide (GO), a 2D nanomaterial with potential as a biocidal surface coating. We demonstrated that P. fluorescensadhesion is stronger in GO interfaces assembled from horizontally arranged nanosheets, as compared to edge-tethered GO sheets, where electrostatic and steric repulsion weakened adhesion forces. Our results therefore emphasize the importance of nanosheet spatial arrangement and conformational disorder in determining the interfacial behavior of GO-functionalized substrates.

About the speaker: Santiago Romero-Vargas Castrillón is a Senior Lecturer in chemical engineering at the University of Edinburgh, affiliated with the Institute for Infrastructure and Environment. He received his PhD in chemical engineering from Princeton University, and carried out postdoctoral research in environmental engineering at Yale University. Before coming to Edinburgh in late 2018, he was an Assistant Professor of environmental engineering at the University of Minnesota. His recent research has focused on colloid and interface science in environmental systems, membrane separations, and the environmental applications of 2D nanomaterials.

Speaker: Matthias Maier

  Title: Robust and efficient approximation of the compressible Euler and Navier-Stokes equations
 
  Abstract: Structure preserving numerical methods provide theoretical guarantees of
  reliability for situations where ad-hoc stabilization techniques can fail.
  In this talk we present fully discrete approximation techniques for the
  compressible Euler and Navier-Stokes equations that is second-order
  accurate in time and space and guaranteed to be invariant domain
  preserving. This means the method maintains important physical invariants
  and is guaranteed to be stable without the use of ad-hoc tuning parameters.

  We discuss the underlying algebraic discretization technique based on
  collocation and convex limiting, and briefly comment on a high-performance
  implementation utilizing SIMD (single instruction multiple data)
  vectorization and OpenMPI parallelization. We conclude with a short
  overview of concrete applications to related hyperbolic equations such as
  the shallow water equations and the Euler-Poisson system.

Zoom link: https://uofglasgow.zoom.us/j/87524131080?pwd=czMxaENwOFc0aTh0c1dQRHFqOW8wZz09

Speaker: Dr Vladislav Yastrebov

Speaker: Eky Febrianto

Title: Statistical finite element method for physics-informed digital twin of infrastructures

Abstract: The monitoring of infrastructure assets using sensor networks is becoming increasingly prevalent. A digital twin in the form of a finite element (FE) model can help make sense of the copious amount of collected sensor data. This talk will introduce a statistical finite element method (statFEM) that provides the means of synthesising measurement data and FE models. In statFEM, the data and FE model are random variables with uncertainties associated with measurement error, random inputs, and modelling assumptions. A physics-informed prior density distribution of the system response, e.g., strain or displacement, is given by a conventional stochastic forward problem. The posterior density of the system response is obtained through the Bayes rule from the postulated prior density and a data-dependent likelihood function. This talk will also present the application of statFEM to predict the structural response of an instrumented steel railway bridge and nonlinear continuous welded rail system.

Biosketch: Eky is a lecturer in computational mechanics and a member of the Glasgow Computational Engineering Centre (GCEC) at the University of Glasgow. He obtained his PhD in computational mechanics from the University of Cambridge. He did his postdoctoral research on a strategic theme of data-centric engineering at The Alan Turing Institute and was a visiting research fellow at the University of Cambridge. His research combines aspects of advanced computational methods, geometry, and statistics for developing physics-informed digital twins of engineering structures across scales.

Location: James Watt South Building, Room 603, Creaitivity Lab

Speaker: David Kamensky

Speaker: Anupam Sengupta

Title: Of Microbes, Mechanics and Materials

Abstract: Understanding how microbes interface, exchange and communicate with their local surroundings is central to the grand quest for a theory of microbial ecology. From simple to complex fluids, from compliant to rigid surfaces, microbes inhabit plethora of micro-environments spanning vastly different structures, dynamics, and internal energies. Currently we lack a biophysical framework that could explain, generalize, and crucially, predict the if-s, the how-s, and the why-s of the microbe-environment interactions. Research in my lab aims to fill this gap by interfacing soft matter physics and fluid mechanics with microbiology and genetic engineering. In this talk I will discuss that microbes – across individual, species and community scales – are inherently coupled to their micro-environments, and that their behavioural and physiological traits emerge as a consequence of active biophysical feedbacks between the material, information and energy transport processes. Using vignettes from our recent experiments in model gut and aquatic microbial systems, I will demonstrate how microbes and their micro-environments crosstalk via biomechanical coupling, leading to emergence of traits that ultimately translate into ecological and eco-physiological functions. I will discuss the generality of our results across microbial worlds, specifically touching upon the role and ramification of fluctuations in microbial environments. I will conclude by discussing why our efforts to unpack the microbe-mechanics-materials nexus are central to deciphering microbial fitness, succession, and selection, not least for their emerging prospects in medical diagnostics, biotechnology, and bioremediation during current climatic trends.

Bio: Anupam Sengupta is an ATTRACT Fellow and tenure track Professor of Biological Physics at the University of Luxembourg. Anupam directs the Physics of Living Matter Group, a cross-disciplinary team of scientists working on emergent functionalities in biological systems. Research in the Sengupta Lab spans soft and living matter physics, microfluidics, optics and microbiology. Anupam holds a B.S. and M.S degree (Dual Degree) in Mechanical Engineering from IIT Bombay, India, and a Ph.D. in Soft Matter Physics for his thesis on Liquid Crystal Microfluidics, carried out at the Max Planck Institute for Dynamics and Self Organization, Göttingen, Germany (2013). As a postdoc at MIT (Cambridge, USA) and ETH Zurich (Switzerland), Anupam switched fields to work on the physical ecology of aquatic microbes, and the mechanics of microbial growth and adaptation. Anupam is a recipient of the Human Frontiers Cross-Disciplinary Fellowship (2014-2017) by the International Human Frontier Science Program Organization, and was selected as one of the six “promising young scientists for future” by Nature during the 65th Lindau Meeting for Nobel Laureates in Lindau, Germany. Anupam is the Director for Undergraduate Physics Studies at the University of Luxembourg.

Zoom link: https://uofglasgow.zoom.us/j/97254708828?pwd=bk9KR094WkZEQWZJT09xdHFSak0yUT09

Speaker: Prof Daniel Hurtado

Title: Multiscale modeling of lung biomechanics

Abstract: Covid-19 pneumonia has quickly become a leading cause of death worldwide, boosting the interest of the scientific computing community in creating accurate models of the respiratory system for in silico experimentation and medical discovery. In this talk, I will present our current efforts towards creating a multiscale framework to achieve whole-lung predictive simulations. Drawing concepts from finite-deformation homogenization theory, I will introduce a microstructural model for the poroelastic behavior of the lung tissue. I will further discuss our validation efforts and comment on the predictiveness of the tissue model. Finally, I will present how the proposed micromechanical model can be integrated into whole-lung simulations of healthy and diseased conditions and discuss future directions in lung modeling.

Short Bio: Daniel Hurtado is an associate professor with the School of Engineering and the Institute for Biological and Medical Engineering at Pontificia Universidad Catolica de Chile. He leads the Computational Medicine Group, an interdisciplinary team that focuses on creating physiology-based digital replicas of the human lungs, with applications in the study of mechanical ventilation therapies and early diagnosis of pulmonary diseases. Prof. Hurtado received his M.S. and Ph.D. degrees from the California Institute of Technology as a Fulbright fellow. He is an elected member of the World Council of Biomechanics since 2018.

Zoom link: https://uofglasgow.zoom.us/j/92841584390?pwd=aHZFYUtBS2kyU0duK3ZmanVEeXl4Zz09

Speaker: Damiano Lombardi

Title: Adaptive tensor methods for scientific computing

Abstract: High-dimensional problems arise in many areas of science and engineering. The so called "curse of dimensionality" makes the solution approximation a challenging task, preventing us from using standard discretisations. Several classes of methods have been proposed (and are currently investigated) in the literature in order to approximate the solution of high-dimensional problems: tensor methods are one of them. They consist in using in a systematic way the principle of separation of variables in order to provide an approximation of the solution. In the methods which are proposed in the literature, the "size" of the tensor (called rank) is often fixed a priori, which could lead to severe limitations on realistic problems. The main goal of the work is to propose adaptive tensor methods: the memory used and the tensor format (to some extent) are computed along with the solution approximation in order to fulfil a prescribed accuracy and optimise the computational resources.

In this talk, we are going to discuss first a possible discretisation of a 3d-3d Vlasov-Poisson system. The results obtained are encouraging and provide a motivation for two methodological investigations: the first one consists in defining an adaptive piece-wise tensor decomposition; the second one is an investigation of a multi-linear system solver which is particularly well suited for systems of parametric Partial Differential Equations. Some theoretical results and some numerical experiments are shown.

Brief bio: Damiano Lombardi is a researcher in scientific computing at Inria Paris since 2013, working in the COMMEDIA team (mathematical modeling of the cardiovascular system).

Zoom link: https://uofglasgow.zoom.us/j/96209524406?pwd=Snd3V0VFKy9aR3BzWm5rM0Z5bERVQT09

Speaker: Thomas Weinhart

Micro–macro transition methods are used to calibrate and validate continuum models from discrete data, obtained from either experiments or simulations. Such methods generate continuum fields such as density, momentum, stress, etc, from discrete data, i.e. the particles' positions, velocity, and forces. Performing this micro–macro transition step is especially challenging for heterogeneous and dynamic situations.

Here, we present a mapping technique, called coarse-graining, to perform this transition. This method has several advantages: (1) By construction, the obtained macroscopic fields are consistent with the continuum equations of mass, momentum and energy balance. (2) boundary interactions are accounted for in a self-consistent way and thus allow for the construction of locally accurate stress fields, even near boundaries. (3) Partial stresses and drag forces can be determined for individual constituents, which is critical for developing mixture models, e.g. for segregation. (4) The method does not require ensemble-averaging and thus can be efficiently exploited to investigate static, steady and time-dependent flows. 

The method is valid for any discrete data, e.g. particle simulations, molecular dynamics, experimental data, etc. However, for the purpose of illustration we consider data generated from discrete particle simulations. We show how to practically use coarse-graining for both steady and unsteady flows using our open-source tool MercuryCG, which is available as part of the discrete particle solver MercuryDPM (http://www.mercurydpm.org/).

Speaker: Prof Adrian Lew

Speaker: Dr Elma Charalampidou

Zoom

Description

Rock and soil deformation processes are of crucial importance for most surface or subsurface engineering applications, in particular when these applications are related to energy field application or interactions with engineering structures. There is a strong need for field studies to be complemented with lab-scale testing. The latter provides functional information on the mechanical behaviour of the tested material (e.g. E, G, ν). Furthermore, this sort of data are useful input parameters for modelling (e.g. FEM). However, these global measurements (average within the sample’s boundaries) cannot always reveal in detail the micro-processes occurring during frictional sliding and/or brittle faulting of a rock mass or deformation in soils, particularly when the tested material (or representative volume) contains textural heterogeneities (diagenetic or due to deformation) – which is a quite common case in any field application.

Non-destructive full-field testing becomes of great importance to lab-testing since a variety of parameters can be investigated on the very same core. This is very practical especially for limited samples coming e.g. from a well. Furthermore, a combined use of non-destructive techniques – with different sensitivity and resolution – can provide 2D, 3D and 4D information and further explain the occurring micro-processes in a range of scales (from cm to ?m). Extrapolating this knowledge to the field scale leads to potentially fewer layers of uncertainty.

This talk will demonstrate how a combined use of non-destructive methods describe processes that take place during frictional sliding and brittle deformation in weakly cemented sands and sedimentary rocks. Methods will include a) Acoustic Emissions, their related source mechanisms and ultrasonic tomography – all linked to damage sensitivity; b) x-ray CT – related to density variations within the material; c) neutron tomography – sensitive to the presence of hydrogen and, thus, fluids containing it. Examples will focus on lab-deformed cores and cores with natural textural heterogeneities. The observed micro-processes on weakly cemented sands (natural and artificially cemented), sandstones and carbonates will be discussed. The correlation of these results can shed further light onto the deformation and fluid flow interactions within the tested materials (as compared to the conventional stress-strain measurements at the boundaries of the sample) and also offer more detailed information to mitigate potential risks at field-scale applications.

Biography

Elli-Maria (Elma) Charalampidou is an Assistant Professor at the Institute of Geoenergy Engineering, School of Energy, Geoscience, Infrastructure and Society at Heriot Watt University (Edinburgh). Elma is the Head of the Soil and Rock Mechanics Technical Committee of the European Society for Experimental Mechanics (EuraSEM) and is also an Editorial Board Member for Scientific Data (Nature).

Elma’s research relates to understanding and quantifying the physical and hydro-chemo-thermo-mechanical processes controlling the occurrence of strain localisation and instability modes in geomaterials, which has implications for H2 and/or CO2 storage, geothermal energy extraction and fluid induced seismicity.

Elma works primarily in the field of experimental mechanics examining: a) the conditions for fault creation/re-activation and the frictional behaviour of materials; b) the brittle-ductile transition and the localised deformation in rocks and sediments; c) single- and two-phase flow within naturally and lab-induced deformed rocks and sediments as well as fluid-rock interactions.

Elma applies a multi-scale experimental approach using a range of non-destructive methods with different sensitivities and resolutions, such as acoustic emissions and moment tensor analysis, ultrasonic tomography, x-ray computed tomography, neutron tomography and digital image correlation together with destructive methods, such as optical and scanning electron microscopy.

Speaker: Christopher Beckett

In this seminar, Chris will present work from his team examining the hydro-mechanical behaviour of hydrophobic granular soils; materials that are new to geotechnical engineering and offer opportunities to revolutionise water sequestration infrastructure. The seminar will start with a brief introduction to these unusual materials as well as the unsaturated soil mechanics of traditional hydrophilic soils, before exploring the consequences of these mechanisms for hydrophobic soils and what new perspectives these observations offer on traditional unsaturated soil mechanics.

Speaker: Dr Sebastian Skatulla

Zoom link: https://uofglasgow.zoom.us/j/93968561981?pwd=aHliYjd4bHNhN2pib1pLU1VNT24yZz09

Title: Micromorphic Tissue Mechanics Accounting For Non-Affine Myocardial Deformation Characteristics 

Abstract: Cardiovascular diseases are among the most common causes of death in the world. Computational modelling in combination with medical imaging techniques, mechanical tissue testing, as well as cell and molecular biological analysis has the potential to help better understanding the underlying physiological mechanisms of heart failure and guide decision making in finding patient-specific treatment options in the future.

Computational models, however, need to be realistic enough to accurately describe the highly heterogeneous and non-uniform myocardial material composition [1], its anisotropic mechanical properties, the electro-mechanical interaction during muscle contraction and other biological effects, such as residual stresses and remodelling processes.

In this contribution we want to focus on the passive response of the myocardium which is very compliant exhibiting large strains, in particular, while the heart is contracting and twisting to eject oxygenated blood into the circulatory system during the systolic phase of the heart cycle. In the past it has been discovered that the initially crimped and coiled collagen fibres straighten during passive filling [2] and that cardiac myocytes exhibit a certain degree of motion flexibility within the constraining cytoskeleton [3, 4]. In contrast to classical models of phenomenological nature, this work proposes a micromorphic continuum-based formulation [5] which features extra degrees of freedom and corresponding strain and stress measures. The approach can therefore account for the hierarchical fibrous characteristics of the myocardium which are associated with micro-structural deformation of muscle-fibre bundles as well as their motion relative to the bulk material. As such, the assumed hyperelastic material behaviour of myocardial tissue is represented by a non-linear strain energy function which includes contributions linked to the bulk material representing the cytoskeleton and the micromorphic-fibre continuum emulating the micro-kinematics of the interwoven muscle-fibre bundles.

Short Bio: Sebastian Skatulla is an Associate Professor of Structural Engineering and Mechanics at the University of Cape Town. He graduated  as Diplom Bau-Ingenieur (TH) from the Karlsruhe Institute of  Technology (KIT) in 2003. He was awarded his PhD degree in Mechanical Engineering from the University of Adelaide in 2007.

He is the Director of the Computational Continuum Mechanics Research Group (CCM)  which has its research activities centred in multiscale and multiphase continuum methods. Current activities comprise the poroelasticity of Antarctic sea-ice and biological tissue.

He is the President of the South African Association for Theoretical and Applied Mechanics (SAAM) and member of the Scientific Council of the International Centre for Mechanical Sciences (CISM).

References

[1] LeGrice, I.J., Smaill, B.H., Chai, L.Z., Edgar, S.G., Gavin, J.B. and Hunter, P.J., Laminar structure of the heart: ventricular myocyte arrangement and connective tissue architecture in the dog. Am. J. Physiol. Heart Circ. Physiol., 269:H571–H582, 1995.

[2] Robinson, T.F., Geraci, M.A., Sonnenblick, E.H. and Factor, S.M., Coiled perimysial fibers of papillary muscle in rat heart: Morphology, distribution, and changes in configuration. Circulation Research, 63:577–592, 1988.

[3] LeGrice, I.J., Takayama, Y. and Covell, J.W., Transverse shear along myocardial cleavage planes provides a mechanism for normal systolic wall thickening. Circulation research, 77(1):182–193, 1995.

[4] Spotnitz, H.M., Spotnitz, W.D., Cottrell, T.S., Spiro, D. and Sonnenblick, E.H., Cellular basis for volume related wall thickness changes in the rat left ventricle. Journal of molecular and cellular cardiology, 6(4):317–331, 1974.

[5] von Hoegen, M., Skatulla, S. and Schrder, J., , ”A generalized micromorphic approach accounting for variation and dispersion of preferred material directions”, Computers and Structures, 232: 105888, 2020

Speaker: Prof Maria Charalambides

This talk will summarise studies towards developing predictive numerical models of deformation and fracture within soft solid materials. Computational modelling of the in-vivo mechanical response of various biological materials within the human organism, such as brain tissue, bone, arteries and ingested food, is an increasingly cost-effective design tool for bio-medical, bio-engineering and surgical applications. Hydrated food is one such system produced naturally after swallowing and its mechanical response is a crucial factor during digestion which impacts on the rate of release of nutrients to the human body. We show that a viscoplastic-damage constitutive law calibrated through compression tests on hydrated biscuit particles, can be utilised in Eulerian Finite Element (FE) analysis to predict complex localised deformation-fracture material behaviour during wire cutting at two length scales with high fidelity. We demonstrate that in such materials a fracture term is not always necessary to predict ultimate separation and that the Eulerian FE analysis is a versatile approach based on which largely different material cutting behaviours can be modelled. The use of these methods to develop in silico models of the critical initial digestion stages will be presented.

Maria will also give an overview of the research within the Mechanics of Materials Division of the Department as well as her own other research conducted at the Soft Solids research group.

Zoom link: 

https://uofglasgow.zoom.us/j/99798134060?pwd=MTZhV28rZmdNTzZzVVlUYk1pcG5Pdz09

Speaker: Prof Daya Reddy

Zoom Link: https://uofglasgow.zoom.us/j/96885164003?pwd=SkRpeExBUVQ2b2JETHlLdStNVFR6UT09

Title: "Finite element and virtual element approximations for problems of isotropic and anisotropic elasticity”

Abstract: This presentation is concerned with the behaviour of elastic bodies under limiting conditions of near-incompressibility and, for transversely isotropic materials, near-inextensibility. The concept of volumetric locking – that is, a lack of convergence - in the context of low-order finite element approximations is well understood, and a variety of effective remedies exist. Corresponding studies in relation to near-inextensibility have on the other hand been somewhat limited. Both theoretical and computational approaches to these classes of problems are explored. The virtual element method (VEM) is a relatively recent extension of the finite element method (FEM) that allows for the use of polygonal or polyhedral elements having any number of sides or surfaces. Near-incompressibility and near-inextensibility are explored using both the FEM and VEM. In particular, the excellent convergence properties of low-order Virtual Element approximations is demonstrated, for small and large deformations.

Biography: Daya Reddy completed a bachelor’s degree in civil engineering at the University of Cape Town and a Ph.D. degree at Cambridge University in the UK. He currently holds the South African Research Chair in Computational Mechanics, in the department of mathematics and applied mathematics at the University of Cape Town.

His teaching and research activities reflect his multidisciplinary perspectives, which he pursues largely through the Centre for Research in Computational and Applied Mechanics, a centre comprising academic staff and postgraduate students in five different departments. Much of his work is concerned with mathematical and numerical analysis of problems arising in solid and fluid mechanics. His many publications include two graduate-level texts and a research monograph, now in its second edition, on plasticity theory.

Daya Reddy is actively involved in bodies that work towards strengthening the scientific enterprise and providing science advice to policymakers. He served a term as president of the Academy of Science of South Africa, and is currently president of the International Science Council, the largest representative non-governmental global scientific organization.

He is a recipient of the Award for Distinguished Service from the South African Association for Computational and Applied Mechanics,the SAMS Award for Research Distinction, and the Order of Mapungubwe from the President of South Africa. He has held numerous visiting positions, including those of Visiting Faculty Fellow at the University of Texas at Austin and the Timoshenko Lecturer at Stanford University. He is a recipient of the Georg Forster Research Award from the Alexander von Humboldt Foundation of Germany.

Speaker: Prof Ming-Chen Hsu

Zoom link: https://uofglasgow.zoom.us/j/96821163575?pwd=ZE11UXcxc3ora3Jld3RtNGJBMHI5QT09

Title: Computational Fluid-Structure Interaction Modeling for Aerospace and Biomedical Applications

Speaker: Prof. Ming-Chen Hsu, Department of Mechanical Engineering, Iowa State University

Abstract: Fluid-Structure Interaction (FSI) is a multiphysics phenomenon that occurs when moving or deformable structures interact with internal or surrounding fluid flows. The coupling between the dynamics of the fluid and mechanics of the structure often gives rise to unexpected behaviors vital to many science and engineering problems. In this presentation, I will discuss a new computational FSI framework developed based on isogeometric and immersogeometric analysis with application to the modeling and simulation of aerospace and biomedical problems. The fully-coupled FSI formulation is derived using the augmented Lagrangian approach to enforce kinematic and traction constraints and naturally accommodates nonmatching and non-boundary-fitted fluid-structure interfaces. This novel method can make direct use of the CAD boundary representation of a complex design structure and effectively deal with FSI problems involving large deformations of the fluid domain, including changes of topology. The key ingredients to achieving high simulation accuracy will be reviewed. The proposed FSI framework is applied to engineering and science applications at different scales, ranging from studying complex military aircraft tail buffeting due to different angles of attack to understanding prosthetic heart valve leaflet flutter under physiological conditions. The findings and challenges will be shown and discussed in detail.

Biography: Ming-Chen Hsu is an Associate Professor in the Department of Mechanical Engineering at Iowa State University. He received his MS degree in Engineering Mechanics from UT Austin in 2008 and PhD degree in Structural Engineering from UC San Diego in 2012. From 2012 to 2013, he was a postdoctoral fellow at the Institute for Computational Engineering and Sciences at UT Austin before joining Iowa State University. He is the recipient of the 2019 USACM Gallagher Young Investigator Award and is listed as a Web of Science Highly Cited Researcher from 2016 to 2019. He has published over 70 peer-reviewed journal papers and serves on several national and international professional society committees on computational methods and applications. His research focuses on computational mechanics, engineering, and sciences with an emphasis on fluid-structure interaction problems.

Speaker: Professor Michael Wisnom

High-performance fibre-reinforced polymer composites are the current state-of-the-art for lightweight structures and their use is rising exponentially in a wide range of applications from aerospace to sporting goods. They offer outstanding mechanical properties: high strength and stiffness, low weight, and low susceptibility to fatigue and corrosion. The use of high strength, high stiffness materials in fibre form mitigates the tendency for premature brittle failure, enables components to be formed at low or moderate temperatures, and enables anisotropic designs to target the primary load-carrying demands. Fibres are particularly efficient in uniaxial tension but, under compression, composites suffer a range of failures typically associated with fibre micro-buckling or kinking, linked to matrix or interfacial issues; these mechanisms couple in a complicated way at a variety of physical lengthscales. Often, these types of failure determine the practical usage of composites and set design limits well below the expected intrinsic performance of the constituent fibres.

This presentation focuses on the challenge of improving the absolute performance of composites in compression, both to address practical limitations of current materials, and as a demonstration of the value of quantitative hierarchical materials design.

Michael Wisnom is Professor of Aerospace Structures at the University of Bristol, Director of Bristol Composites Institute (ACCIS) and Editor in Chief of Composites Part A. His research is on the mechanics and failure of composites: developing novel test configurations, analysis approaches, and material architectures.

Speaker: Laura De Lorenzis

Abstract: The phase-field modeling approach to fracture has recently attracted a lot of attention due to its remarkable capability to naturally handle fracture phenomena with arbitrarily complex crack topologies in three dimensions. On one side, the approach can be obtained through the regularization of the variational approach to fracture introduced by Francfort and Marigo in 1998, which is conceptually related to Griffith's view of fracture; on the other side, it can be constructed as a gradient damage model with some specific properties. The functional to be minimized is not convex, so that the necessary stationarity conditions of the functional may admit multiple solutions. The solution obtained in an actual computation is typically one out of several local minimizers. Evidence of multiple solutions induced by small perturbations of numerical or physical parameters was occasionally recorded but not explicitly investigated in the literature.

In the first part of this talk, the speaker gives a brief overview of the phase-field approach to fracture and of recent related research carried out in her group. In the second part of the talk, the focus is placed on the issue of multiple solutions. Here a paradigm shift is advocated, away from the search for one particular solution towards the simultaneous description of all possible solutions (local minimizers), along with the probabilities of their occurrence. We propose the stochastic relaxation of the variational brittle fracture problem through random perturbations of the functional and introduce the concept of stochastic solution represented by random fields. In the numerical experiments, we use a simple Monte Carlo approach to compute approximations to such stochastic solutions. The final result of the computation is not a single crack pattern, but rather several possible crack patterns and their probabilities. The stochastic solution framework using evolving random fields allows additionally the interesting possibility of conditioning the probabilities of further crack paths on intermediate crack patterns.

Bio-sketch: Laura De Lorenzis received her Engineering Degree and her PhD from the University of her hometown Lecce, in southern Italy, where she then became Assistant and later Associate Professor of Mechanics. In 2013 she moved to the TU Braunschweig, Germany, as Professor and Director of the Institute of Applied Mechanics. Since February 2020 she is Professor of Computational Mechanics at the ETH Zürich. She was visiting scholar in several renowned institutions, including Chalmers University of Technology, the Hong Kong Polytechnic University, the Massachusetts Institute of Technology (Fulbright Fellowship), the Leibniz University of Hannover (Alexander von Humboldt Fellowship), the University of Texas at Austin and the University of Cape Town. She is the recipient of several prizes, including the RILEM L’Hermite Medal 2011, the AIMETA Junior Prize 2011, the IIFC Young Investigator Award 2012, two best paper awards and two student teaching prizes. In 2011 she was awarded a European Research Council Starting Researcher Grant. She authored or co- authored more than 120 papers on international journals on different topics of computational and applied mechanics.

Speaker: Magdalena Schreter

Title: Numerical Modeling of Rock Mass in Finite Element Simulations of Deep Tunneling

Abstract: Analyzing the mechanical behavior of the rock-support system during the construction of a deep tunnel poses a complex three-dimensional time-dependent problem. To cope with these complexities, finite element simulations are a powerful tool for predicting the deformations occurring during the excavation process, for dimensioning the required tunnel support and for determining critical situations close to  collapse. However, in terms  of their predictive capacity, they strongly rely on the employed constitutive model for the surrounding rock mass, being the major lead-bearing part of the tunnel structure. In this lecture, challenges and methods for modelling the mechanical behavior of rock mass are discussed, and the application of an advanced constitutive model for rock mass in finite element simulations of the construction of a section of the Brenner Base Tunnel is presented.

Biosketch: Magdalena Schreter was born in Austria in 1991. From 2009 to 2015 she studied Civil Engineering at the University of Innsbruck, completing her Master’s thesis in the field of concrete structures. In 2015, Magdalena was employed as a university assistant at the Unit for Strength of Materials and Structural Analysis at the University of Innsbruck. In December 2018, she received her PhD for her thesis “A Gradient-Enhanced Rock Damage-Plasticity Model for Numerical Analyses of Deep Tunneling”, supervised by Prof. Günter Hofstetter. Since March 2019, she has been working as a postdoctoral researcher at the Unit of Strength of Materials and Structural Analysis at the University of Innsbruck.

Speaker: John Brigham

Title: Computational Inverse Mechanics to Facilitate Smart Structural Systems

Abstract: Opportunities for leveraging computational mechanics are highly prevalent for the optimisation, control, and/or characterisation of increasingly complex systems through the development and utilization of sophisticated computational inverse solution strategies.  Moreover, the application of computational inverse techniques cuts across several disciplines, and is particularly relevant for a wide range of smart structure/structural system applications.  In terms of smart systems, capabilities range from developing a self-aware system (e.g., characterization of the current state, including potential damage and degradation) to facilitating adaptability (e.g., control or design optimisation to adapt based on the current state and environment).

This talk will present an overview of the activities of the Computational Diagnostics and Inverse Mechanics Research Group led by John Brigham, and then focus on two specific efforts to utilize computational mechanics and inverse solution strategies: (1) for the efficient solution of problems in characterisation of material properties in solids and structures and (2) optimal design of a smart material morphing building surface tile. These examples will show how many of the same tools, or at least the same overall framework, can be used to address a wide range of inverse problem applications.  Yet, the particular challenges of each application will often require unique attention, especially if given additional practical objectives, such as a need for computational efficiency.

Biosketch:  John Brigham received a BE from Vanderbilt University and a MS and PhD from Cornell University.  Following his PhD in 2008 he joined the University of Pittsburgh as an Assistant Professor, and was later promoted to Associate Professor in the Department of Civil and Environmental Engineering, with a secondary appointment in the Department of Bioengineering.  John joined the Department of Engineering at Durham University as an Associate Professor in Applied Mechanics in 2016 and was promoted to a Chair in Engineering in 2019.  Focusing on computational mechanics and inverse problems, John’s research group is actively involved in a number of diverse projects, including kinematic analysis of the heart for improved diagnosis of cardiovascular disease, novel design concepts and optimal design strategies for smart material morphing structures, and efficient and accurate quantitative nondestructive evaluation algorithms.

Speaker: Dr Simone Dimartino

Simone Dimartino

Institute for Bioengineering, The School of Engineering, The University of Edinburgh, Edinburgh EH9 3DW, UK

Email: simone.dimartino@ed.ac.uk

Seminar title:

3D printing of ordered structures: applications in chemistry and engineering

Perfectly ordered structures have been reported to drastically outperform traditional packing in a variety of applications in chemistry and engineering. While this used to be a rather theoretical concept, 3D printing now enables the fabrication of such ordered structures, with complex geometry, and with resolution at the micron scale.

In this lecture I will present a holistic toolbox to design, manufacture and characterize such structures. In my research group we blend a range of modelling and experimental methods, from fluid dynamics to machine learning, from materials science to engineering practice. I will demonstrate how our approach to 3D printing delivers optimized structures and materials with improved performance, with specific focus on applications in the separation sciences (e.g. chromatography) and biotechnology sectors (e.g. bioreactors).

Hopefully this talk will spark your interest on this topic, and make you realize how 3D printed structures could complement and boost your research, regardless of its background and scope!

Biography:

Dr. Dimartino is a Senior Lecturer at the Institute for Bioengineering at the University of Edinburgh. He did his PhD at the University of Bologna on membrane-based separations in the biopharmaceutical industry (2009), followed by an academic position at the University of Christchurch, New Zealand, where he explored new separation methods for the production of biologics. He now employs 3D printing methods for the fabrication of devices with perfectly ordered internal morphology, with applications ranging bioseparations, biocatalysis and heat transfer. To know more about his research please watch:

-           Fun science communication video here.

-           Interview on the future of 3D printing and chromatography here.

Speaker: Daniel Trenzinger

Complex sample matrices create difficult challenges for scientists performing chromatography and mass spectrometry.  Matrix interferences often cause matrix effects, inconsistencies in quantification and an overall lack of method robustness and reproducibility.   These matrix components can also shorten column lifetime and lead to an increase in instrument downtime.  Solid phase extraction (SPE) is a very powerful tool that leads to more robust, reproducible analytical results by reducing matrix effects and chromatographic complexity while also providing the ability to increase analyte concentration.  However, it can sometimes be challenging to know how and where to begin creating SPE methods.  In this seminar, we will outline several different approaches to sample cleanup using a variety of SPE tools.   These approaches provide simple sample preparation solutions for a wide range of analytical needs, from routine analysis to highly selective analyte targeting and concentration.

Speaker: Enrico Masoero

Abstract

Concrete and other composite construction materials owe their properties to the collective behaviour of multiple interacting phases. Optimising the chemical composition of these complex materials is a challenge that often requires long and costly experimental campaigns. There is hope that the increasing predictive abilities of models and simulations will soon provide an in-silico route to complement the design of new composite materials, enabling a preliminary shortlisting of promising solutions that can later be tested using fewer but more focussed experiments. Within this picture, a crucial role is played by modelling and simulation at the nanoscale, where the linkage between molecular chemistry, structure, and properties starts to emerge. This talk will discuss the pathway to exploit the predictive abilities of molecular simulations to obtain constitutive laws for larger scale models, e.g. homogenisation theory and Finite Element simulations. Special attention is paid to the mesoscale between the nanometre and the micrometre, where unique structural features (e.g. mesopores) and properties emerge, which can significantly affect the macroscopic behaviour of the material. Two examples are discussed in some details: one is about molecular modelling of geopolymer cements, and the other one is about mesoscale simulations of calcium silicate hydrate precipitation and calcium silicates dissolution. The results are analysed in terms of ability to predict relationships between structure, chemistry, and properties of individual phases, which is the starting point to then combine different phases, e.g. using appropriate homogenisation schemes.

Bio

Enrico obtained his PhD in structural engineering at Politecnico di Torino, Italy, in 2010, with a dissertation on structural collapse. From 2010 until 2013 he was postdoc at the Concrete Sustainability Hub at MIT, USA, working on nanoparticle simulation of cement hydration. Since 2013, Enrico is Lecturer in Structural Engineering at Newcastle University, in the UK. His core research is in the hygro-chemo-mechanics of cement and concrete, from the nanoscale up to the macroscale of engineering application. Enrico has authored 23 articles in international journals. He has been a member of the TU1404 COST Action on concrete durability, and is member of the ASCE EMI Materials Properties committee. At Newcastle University, Enrico teaches Structural Mechanics, Engineering Materials, Structural Collapse, and Multiscale Modelling.

Speaker: Dr. Basant Lal Sharma

In the presence of length scales, the elastic wave propagation problem, as well as those involving other kinds of dynamical phenomena (lattice waves or phonons, electronic transport, etc), involve an interplay between wave dispersion and structural features.

The present talk concerns an exposure to the analysis of discrete scattering effects in certain simple structures. As a prototype example of diffraction phenomenon, a discrete analogue of Sommerfeld diffraction by a half plane has been recently analysed for three different lattice structures: square, triangular, and hexagonal. The two simple cases that have been recently studied correspond to semi-infinite row with discrete Neumann condition and discrete Dirichlet condition. Both kinds of half-row `defects’ have been analyzed in infinite lattices as well as in waveguides using Fourier analysis.

The talk will give a flavour of the mathematical formulation and some techniques which are useful to derive physically relevant entities; for the infinite lattice, an example of the latter is far-field wavefunction and for the waveguides, the reflectance and transmittance. The talk will also include some open problems associated with these newly emerging developments as well as some glimpses of the ongoing work. An application of the developed framework to electronic transport in nanotubes will be also briefly discussed.

Speaker: Adam Sciegaj

Abstract:

Since concrete cracks at relatively low tensile stresses, the durability of reinforced concrete structures is highly influenced by its brittle nature. Cracks allow for ingress of harmful substances, e.g. chlorides, which in turn cause corrosion of the reinforcement. Therefore, crack widths are limited in the design codes. For larger structures, precise crack width prediction requires detailed models, which can become computationally expensive. Hence, multiscale modelling methods are of interest.

In this presentation, a multiscale model for reinforced concrete based on Variationally Consistent Homogenisation (VCH) is outlined. An effective reinforce concrete solid is considered at the macroscale, while the subscale modelling comprises plain concrete, reinforcement bars and the bond-slip interaction between the materials. The effective macroscopic response is obtained upon computational homogenisation of the response of individual Representative Volume Elements (RVEs), in a nested FE^2 (Finite Element squared) algorithm. Furthermore, enrichment of the multiscale model by a macroscopic reinforcement slip variable is addressed. Several application examples of modelling uniformly and non-uniformly reinforced concrete deep beams with this multiscale method are given, and results in terms of force-deflection relations, crack width and crack patterns are presented. 

About the speaker:

Adam Sciegaj is a visiting PhD student from Chalmers University of Technology in Gothenburg, Sweden. His research is focused on developing a multiscale modelling framework for reinforced concrete structures, with the aim to make it possible to study the crack growth in detail for large-scale structures, like e.g. bridges.

Speaker: Dr Jin Sun

The flow behaviour of dry granular materials, e.g. free flowing sand, is commonly observed to be very different from wet suspensions, e.g. sticky cornstarch-water mixtures. We show, through particle simulations and rheology experiments, that the different behaviour can be put in a unifying rheological framework, where the interplay between particle-size scaling and the observation window gives rise to the perception. More interestingly, the underlying microstructure and force networks bear surprising similarities, which can be used to understand many sometimes puzzling non-linear flow phenomena.

A particular example is shear thickening, where suspension viscosity increases with shear stress or shear rate. It is a ubiquitous feature of many different particle systems and flow processes in nature and industry, particularly for particles of intermediate sizes (diameter 1 μm ≤  d ≤ 50 μm) at high concentrations. This phenomenon has been traditionally explained as being driven purely by hydrodynamic interactions. However, recent theoretical, modelling and experimental work has shown the inadequacy of this mechanism, by elucidating the important role of frictional particle contact.

 In this talk, I will present experimental and simulation evidence for shear thickening as a transition from a typical colloidal to a granular behaviour, in which the formation of frictional non-hydrodynamic contacts is key. We have directly quantified the contact contribution to the suspension viscosity during shear thickening by means of shear-reversal rheological measurements, providing new and unambiguous evidence. I will finally describe the ‘tuning’ of shear thickening and other rheological properties based on the understanding of particle contacts, by means of active control or suspension formulation.

Speaker: Peter Smyth

The Urban Big Data Centre at the University of Glasgow's next data skills training course will be held on Monday 11th June 2018.

Collecting and Storing Data from Internet-based Sources will be an afternoon session providing researchers with the essential skills required to effectively use Application Programming Interfaces (APIs) for downloading data from a variety of online data sources. It will then cover the use of databases for storing and retrieving data and demonstrate how to automate the collection processes. Full course details below.

Collecting and Storing Data from Internet-based Sources

Course instructor: Peter Smyth, Reasearch Associate, University of Manchester

Course duration: half day (Monday 11th June, 2018, 1:15pm – 4:45pm)

Course location: Jura teaching lab, Level 4 Annexe, Glasgow University Library

Audience: Researchers who need to collect Internet based data, e.g. social media and store it over a period of time

Fees:

£25 - For UK registered students  
£35 - For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations
£50 - For all other participants

Pre-requisite knowledge: Some knowledge of Python would be useful but not essential as all code used will be provided.

Course summary:

Many websites allow researchers and developers to download data using their Application Programming Interface (API). This data is often in formats that social scientists are unfamiliar with (e.g. JSON). Downloaded data can be processed immediately or stored in a database for later processing in a package like R or Stata. Data can be collected at regular intervals over a period of time, using the built-in functionality of the Windows or Linux operating systems.

Course content:

Course participants will be introduced to the following:

• Understand the JSON data format
• Understand how to use APIs to collect data
• Data storage and retrieval using a database (SQLite)
• Ability to set up automated procedures to collect data

Short Presenter Bio:

Peter Smyth is a Research Associate at the University of Manchester, based in the Cathie Marsh Institute. He has spent 35 years working in IT at various large and small commercial organisations before taking an MSc in Big Data Analytics at Sheffield Hallam University and moving into academia. In his previous roles he used any convenient programming environment to hand to solve problems. Now he teaches a variety of programming languages to help others to do the same.

Speaker: Dr. Tree S.N. Chan

Sediment or particle-laden turbulent jets and plumes are commonly found in natural and engineered environments. Examples include volcanic eruptions, deep sea hydrothermal vents, discharge of partially-treated wastewater and dredge disposal operations. Predicting the transport and fate of particles in turbulent jet flows is of great interest to the geophysical, engineering and environmental communities, but with considerable challenges. In this talk, recent development on the mathematical modeling of sediment jets will be presented. For jets with dilute sediment concentration, particles have negligible effect on flow and turbulence modulation. A stochastic Lagrangian particle tracking approach is used to predict the motion of a large number of particles using the mean jet flow and turbulent fluctuations. Particle velocity fluctuations are modelled by an autocorrelation function which mimics the trapping and loitering of sediment particles in turbulent eddies. For vertical dense jets and plumes with high particle concentration, fluid flow and turbulence are modulated by the negative buoyancy of falling particles. An integral jet model approach is proposed, using a jet spreading hypothesis related to particle properties and local mean jet velocity. Predictions of these simple yet trackable models are in excellent agreement with experimental data and multiphase computational fluid dynamics modeling over a wide range of jet-plume regime, particle properties and concentrations. 

Speaker: David Grégoire

Starting from failure analysis and crack propagation driven by mechanical or hydraulic loading conditions in quasi-brittle porous media, we will discuss some multi-physics couplings appearing in micro-to-macro porous media encompassing damage, transport and adsorption-induced strain under saturated and unsaturated conditions. Applications range from oil and gas recovery enhancement, CO2 or energy storage and nuclear containment vessel tightness assessment.

Speaker: Dr Nathalie Lidgi-Guigui

Abstract: The Raman scattering is a well known analytical chemistry technique where the light is scattered by the vibrating bounds of a molecule. As so it gives a molecular fingerprint of a specific compound. However, Raman scattering is not a very sensitive technique. To circumvent this drawback, it is possible to take advantage of the optical properties of metallic nanoparticles (NP). When exposed to light, coherent oscillations of the free electron gas are taking place on the NP. These so called Localized Surface Plasmon (LSP) create an electromagnetic field which is the basis of the near field enhancement of Raman scattering. This electromagnetic effect is responsible for an enhancement factor that can be as high as 10^8. Another effect, the chemical effect, has a weaker contribution to the Raman scattering enhancement. Its origin is discussed among the community but is probably based on the shifting of the molecules energy levels when it is bound to the NP surface.

In this talk we will focus on the use of SERS substrate for the detection of pollutant in water. We will present results concerning hydrophobic and hydrophilic compounds. The first are organic molecules, consisting of two or more fused aromatic rings known as polycyclic aromatic hydrocarbons (PAHs). This group of compounds have received considerable attention due their toxicity and carcinogenicity. The hydrophilic compound that we have worked on is paracetamol. This is the most used drug around the world and as so it is highly found in waste water. However, in order to study its impact on the marine environment it is first needed to be able to quantify its presence.

Obviously, these two class of pollutants do not present the same issues in terms of sensing. In the first case it is important to reach a very low limit of detection when the quantification and the specificity are the key for the hydrophilic pollutants. We will present the strategy of surface functionalization we have adopted in both case that include the use of Molecular Imprinted Polymers (MIP) for the detection of paracetamol and the exploitation of pi-pi stacking for the detection of naphthalene, fluoranthene and benzo[A]pyrene.

In the last part of the talk, I will show how the nanostructured surface can play an active role in the functionalization. We have recently demonstrated that the LSP can support chemical reactions such as the well known click chemistry thiol-ene reaction. It is even possible to go further and to performed a different functionalization on different direction of a nanostructure by taking advantage of the light polarization.

Biography: After completing my undergraduate studies in material sciences at the University Pierre and Marie Curie in Paris, I followed my interest in nanotechnologies by enrolling in a doctoral program at the Unité Mixte de Physique CNRS Thales where I developed my field of expertise the nanoparticles growth and their electronic properties. After obtaining my Ph.D. in 2005, I joined the team of Prof. R. E. Palmer at the University of Birmingham where I studied the growth and deposition of size selected clusters and their interactions with proteins. The skills I developed in liquid phase AFM were valued through my second post-doc at the University of Evry. Since 2010 I am a reader at the University Paris 13. My main research interests focus on the development of highly sensitive sensors for biomolecules and pollutants. In my group, we use and develop original lithography techniques to fabricate large assembly of organized nanostructures for SERS (Surface Enhanced Raman Spectroscopy). Through the years we have developed several functionalization paths that have enable us to pre-concentrate analytes, to detect their presence in low concentration and to follow their structural evolution. Recent results are focusing on the possibility of making these sensors active by exploiting the tremendous ideas of plasmon based chemistry.

Speaker: Dr. Rachel Aldred

The Dr Rachel Aldred, a reader in Transport at the University of Westminster, to talk about her research insights into cycling injury risk.

Registration is now available via keith.maynard@glasgow.ac.uk

Using the Case-Control Method to Study Effects of the Built Environment on Cycling Injury Risk

Rachel will introduce the use of the case-control method to study cycling injury risk, comparing this to case-crossover approaches. After outlining some examples, she will describe her pilot case-control study of cycling injury risk in London in 2013-4, including dataset issues and results. There will be time for discussion covering the strengths and weaknesses of the method, the range of datasets that could be used (and their limitations), and how the insights can be used to improve injury risk research.

 Seminar contents:

• An understanding of limitations in road injury research, and the strengths and weaknesses of case-control and case-crossover approaches
• An understanding of how geographical datasets, from OSM data to Strava Metro and modelled flow data, can be used to generate new insights about injury risk

Speaker: Liesbet van Zoonen

Center for BOLD Cities will be visiting the Urban Big Data Centre on Monday 30th October to give a lecture entitled 'Governance and Empowerment in the Smart City'. The talk will take place in UBDC's Conference Room and will be followed by a discussion and refreshments.

Space is limited so advance registration via keith.maynard@glasgow.ac.uk

Governance and Empowerment in the Smart City

While ‘smart city’ is already a stale term in IT and urban discourse, the average citizen is unlikely to know what it means, and city civil servants are still catching up on the implications of ‘smart’ for their particular policy and planning arena. Hence, the current cry among smart city companies and professionals is that it is time to ‘involve the people’. However, it is never discussed which people are expected and desired to become involved what desirable outcomes of this involvement are,  and what forms of involvement one should strive for.

In this talk, Liesbet van Zoonen discusses the need for the empowerment of citizens and civil servants against the big IT and platform companies, and presents the action research that her research centre for Big Open and Linked Data (BOLD) Cities conducts. Combining data science with participatory methods proves a promising way, she will argue, to help both citizens and civil servants to keep the city as a public space enabling public life.

Speaker: Professor Thomas Pahtz

Abstract

In my presentation, I will talk about two topics. First, I will present a simple granular flow rheology that unifies the classical m(I) rheology of dense granular flows with the granular kinetic theory of dilute granular flows. This unification is considered as one of the major open problems in the field. I will show that the unified rheology is consistent with discrete element method simulations of a large range of complex geophysical flows: steady sediment transport in viscous and turbulent liquids and air, steady gravity flows down an inclined plane, and homogeneous shear flows. Second, I will present a new perspective on the sediment transport cessation threshold, which is the threshold value of the fluid shear stress at which standard expressions for the sediment transport rate predict vanishing transport (i.e., the threshold that is often displayed in the Shields diagram). I will present evidence that this threshold is not an entrainment threshold, but instead the minimal fluid shear stress required to resupply transported particles with energy that they lose when rebounding at the bed surface. Based on discrete element method simulations, I will present an analytical theory that predicts this threshold for arbitrary environments. I will show that this theory is simultaneously consistent with measurements in viscous and turbulent subaqueous and aeolian environments without being fitted to them. One of the major implications of this theory is that the sediment entrainment threshold and the threshold shown in the Shields diagram are two very different things associated with two very different problems, although they are usually being treated as one and the same.

Speaker: Various

You are cordially invited to attend a casual gathering of Discrete Element Method (DEM) enthusiasts to discuss current and future trends in particle-based numerical modelling. This $free Open Forum welcomes anyone who currently undertakes scientific or engineering research using DEM software; either Open Source or proprietary. The purpose is to stimulate discussion about DEM software, techniques and methods in a relaxed and collegial manner. Generous breaks and discussion periods will facilitate collaboration and comradery. The forum will also serve to launch ESyS-Particle v3.0; including the recent additions of Darcy flow and self-gravity.

Speaker: Herman Kotze

The refractory linings used in smelting furnaces undergo cooling and heat-up cycles when the furnaces are shut down and restarted.  Severe deformation, cracks and metal penetration have been observed during furnace excavation. An improved understanding of furnace refractory linings under thermal and mechanical loads need to be developed. To model these linings prove to be quite a challenge and as a first step a 3D finite element model of a DC smelting furnace was developed. The use of adjusted material properties for approximating the lining as a solid are also evaluated and discussed. This presentation will focus on the background of the problem and different modeling techniques investigated.  I will present the results of the steady state model and discuss current transient implementations and progress.

Herman Kotze obtained his B.Eng degree in Mechanical Engineering from the University of Pretoria in 2014.  He completed his Honours in Metallurgical Engineering in 2015 focusing on Numerical Methods, Finite Element Modeling, Refractories and Pyrometallurgy.  He is currently doing his masters as part of the Pyrometallurgical Modeling group at the University of Pretoria under the supervision of Dr Johan Zietsman and Prof Schalk Kok.

Speaker: Peter Grassl

Abstract

The structural performance of reinforced composites relies heavily on the mechanical interaction between reinforcement and concrete. In nonlinear finite element analyses, the interaction of reinforcement and matrix  is either modelled by merged or coincident with slip approaches. Here, the performance of these two approaches in the modelling of failure of reinforced concrete is investigated using the finite program LS-DYNA. Firstly, the influence of element size on the response of tension-stiffening analyses with the two modelling approaches is investigated. Then, the results with two approach are compared for plain and fibre reinforced tension stiffening and a drop test experiment. The talk should be of interest for those working on fibre reinforced composites. Furthermore, those interested in commercial software for nonlinear failure analysis in general might find this talk useful, as it will show capabilities of LS-DYNA for modelling fracture.

Speaker: external speakers

Dear colleague,

Invitation to a free Knowledge Exchange colloquium on 31^st March

 'Innovation, High-tech sectors and Knowledge Space: UK’s current stand and future uncertainty' 

you are warmly welcomed to attend a free Knowledge Exchange colloquium, funded by the UK Economic and Social Research Council (ESRC).

To be held in Glasgow on Friday, 31^st March, this colloquium will be an important opportunity for private and public sectors to discuss and debate on, the stand and competitiveness of UK’s high-tech sectors and innovation activities; the potential impacts of the Brexit on UK’s high-tech sectors, and how these sectors and specially designated knowledge spaces could react to Brexit and future uncertainties through innovative business models.  

Confirmed speakers for this colloquium include:

• Sandrine Kergroach (Policy Analyst, Science and Technology Policy Division of OECD)
• Jose Enrique Garcilazo (Head of Unit for the Rural and Regional Development Programme within the Regional Development Policy Division at the OECD)v
• Carol Stewart (Board of Directors for the Association of University Research Park; Business Development Manager of David Johnston Research + Technology Park, Canada)
• Paul Tostevin (Associate Director in Savills World Research)
• Simon Smith (Economic Development Manager of Glasgow City Council)
• Stuart Patrick (Chief Executive of Glasgow Chamber of Commerce)
• John Goddard (Emeritus Professor of Regional Development Studies, Newcastle University)
• Dave Valler (Reader in Spatial Planning, Oxford Brookes University)
• Zhai Lei (Professor of Project Management, Nankai University, China)

There are no specific pre-requisites for attending. This free event will take place on 31st March 2017 in ).

 Registration and further programme information is available via our  page. You could also follow this event on twitter: #BrexitHTS. Please register as space is limited and catering must be ordered in advance.

We hope you can join us and please forward this information to anyone that this might interest.

Sincerely,

Speaker: Matthijs Langelaar

Abstract:

Metal Additive Manufacturing (AM) has reached the level of maturity needed for industrial production of end-use parts. The complexity of the part geometry is no longer the main cost factor in AM, which leads to exciting opportunities for design optimization. In particular topology optimization forms an ideal method to benefit from AM design freedom, but existing approaches do not consider AM restrictions. This presentation will highlight recent advances in combining topology optimization with a main geometric AM restriction on angles of overhanging surfaces, and also discuss the necessary next steps and associated challenges for optimization and computational mechanics. 

Biography:

Matthijs Langelaar received his MSc degree in Mechanical Engineering from Twente University, worked on Robotics at DLR Germany and did his PhD research at Delft University of Technology. His research interest is Design Optimization, specifically Topology Optimization and Optimization under Uncertainty.