Dr Atin Roy

  • Research Associate (Infrastructure & Environment)

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019
Number of items: 15.

2024

Roy, A. , Chakraborty, S. and Adhikari, S. (2024) Seismic reliability analysis of nonlinear structures by active learning-based adaptive sparse Bayesian regressions. International Journal of Non-Linear Mechanics, 165, 104817. (doi: 10.1016/j.ijnonlinmec.2024.104817)

Roy, A. , Chatterjee, T. and Adhikari, S. (2024) A physics-informed neural network enhanced importance sampling (PINN-IS) for data-free reliability analysis. Probabilistic Engineering Mechanics, 78, 103701. (doi: 10.1016/j.probengmech.2024.103701)

Thapa, A., Roy, A. and Chakraborty, S. (2024) A comparative study of various metamodeling approaches in tunnel reliability analysis. Probabilistic Engineering Mechanics, 75, 103553. (doi: 10.1016/j.probengmech.2023.103553)

Roy, A. and Chakraborty, S. (2024) Seismic reliability analysis of structures by an adaptive support vector regression based metamodel. Journal of Earthquake Engineering, 28(6), pp. 1590-1614. (doi: 10.1080/13632469.2023.2242975)

2023

Kabasi, S., Roy, A. and Chakraborty, S. (2023) Reliability analysis of structures by iterative sequential sampling based response surface. Proceedings of the Institution of Civil Engineers: Structures and Buildings, 176(11), pp. 847-856. (doi: 10.1680/jstbu.20.00220)

Roy, A. and Chakraborty, S. (2023) Support vector machine in structural reliability analysis: a review. Reliability Engineering and System Safety, 233, 109126. (doi: 10.1016/j.ress.2023.109126)

Roy, A. , Chakraborty, S. and Adhikari, S. (2023) Reliability analysis of structures by active learning enhanced sparse Bayesian regression. Journal of Engineering Mechanics, 149(5), 04023024. (doi: 10.1061/jenmdt.emeng-6964)

2022

Thapa, A., Roy, A. and Chakraborty, S. (2022) Reliability analysis of underground tunnel by a novel adaptive Kriging based metamodeling approach. Probabilistic Engineering Mechanics, 70, 103351. (doi: 10.1016/j.probengmech.2022.103351)

Roy, A. and Chakraborty, S. (2022) Reliability analysis of structures by a three-stage sequential sampling based adaptive support vector regression model. Reliability Engineering and System Safety, 219, 108260. (doi: 10.1016/j.ress.2021.108260)

2021

Ghosh, S., Roy, A. and Chakraborty, S. (2021) Kriging metamodeling-based Monte Carlo Simulation for improved seismic fragility analysis of structures. Journal of Earthquake Engineering, 25(7), pp. 1316-1336. (doi: 10.1080/13632469.2019.1570395)

Kabasi, S., Roy, A. and Chakraborty, S. (2021) A generalized moving least square–based response surface method for efficient reliability analysis of structure. Structural and Multidisciplinary Optimization, 63(3), pp. 1085-1097. (doi: 10.1007/s00158-020-02743-9)

2020

Roy, A. and Chakraborty, S. (2020) Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures. Reliability Engineering and System Safety, 200, 106948. (doi: 10.1016/j.ress.2020.106948)

Roy, A. and Chakraborty, S. (2020) Improved Support Vector Regression Based Metamodel for Reliability Analysis of Structure. In: Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, Hannover, 22-26 Sept 2019, pp. 2099-2106. ISBN 9789811127243

2019

Roy, A. and Chakraborty, S. (2019) Improved adaptive response surface method for reliability analysis of structures. In: Varde, P.V., Prakash, R.V. and Vinod, G. (eds.) Reliability, Safety and Hazard Assessment for Risk-Based Technologies. Series: Lecture notes in mechanical engineering. Springer: Singapore, pp. 369-379. ISBN 9789811390081 (doi: 10.1007/978-981-13-9008-1_29)

Roy, A. , Manna, R. and Chakraborty, S. (2019) Support vector regression based metamodeling for structural reliability analysis. Probabilistic Engineering Mechanics, 55, pp. 78-89. (doi: 10.1016/j.probengmech.2018.11.001)

This list was generated on Sat Dec 21 19:20:48 2024 GMT.
Jump to: Articles | Book Sections | Conference Proceedings
Number of items: 15.

Articles

Roy, A. , Chakraborty, S. and Adhikari, S. (2024) Seismic reliability analysis of nonlinear structures by active learning-based adaptive sparse Bayesian regressions. International Journal of Non-Linear Mechanics, 165, 104817. (doi: 10.1016/j.ijnonlinmec.2024.104817)

Roy, A. , Chatterjee, T. and Adhikari, S. (2024) A physics-informed neural network enhanced importance sampling (PINN-IS) for data-free reliability analysis. Probabilistic Engineering Mechanics, 78, 103701. (doi: 10.1016/j.probengmech.2024.103701)

Thapa, A., Roy, A. and Chakraborty, S. (2024) A comparative study of various metamodeling approaches in tunnel reliability analysis. Probabilistic Engineering Mechanics, 75, 103553. (doi: 10.1016/j.probengmech.2023.103553)

Roy, A. and Chakraborty, S. (2024) Seismic reliability analysis of structures by an adaptive support vector regression based metamodel. Journal of Earthquake Engineering, 28(6), pp. 1590-1614. (doi: 10.1080/13632469.2023.2242975)

Kabasi, S., Roy, A. and Chakraborty, S. (2023) Reliability analysis of structures by iterative sequential sampling based response surface. Proceedings of the Institution of Civil Engineers: Structures and Buildings, 176(11), pp. 847-856. (doi: 10.1680/jstbu.20.00220)

Roy, A. and Chakraborty, S. (2023) Support vector machine in structural reliability analysis: a review. Reliability Engineering and System Safety, 233, 109126. (doi: 10.1016/j.ress.2023.109126)

Roy, A. , Chakraborty, S. and Adhikari, S. (2023) Reliability analysis of structures by active learning enhanced sparse Bayesian regression. Journal of Engineering Mechanics, 149(5), 04023024. (doi: 10.1061/jenmdt.emeng-6964)

Thapa, A., Roy, A. and Chakraborty, S. (2022) Reliability analysis of underground tunnel by a novel adaptive Kriging based metamodeling approach. Probabilistic Engineering Mechanics, 70, 103351. (doi: 10.1016/j.probengmech.2022.103351)

Roy, A. and Chakraborty, S. (2022) Reliability analysis of structures by a three-stage sequential sampling based adaptive support vector regression model. Reliability Engineering and System Safety, 219, 108260. (doi: 10.1016/j.ress.2021.108260)

Ghosh, S., Roy, A. and Chakraborty, S. (2021) Kriging metamodeling-based Monte Carlo Simulation for improved seismic fragility analysis of structures. Journal of Earthquake Engineering, 25(7), pp. 1316-1336. (doi: 10.1080/13632469.2019.1570395)

Kabasi, S., Roy, A. and Chakraborty, S. (2021) A generalized moving least square–based response surface method for efficient reliability analysis of structure. Structural and Multidisciplinary Optimization, 63(3), pp. 1085-1097. (doi: 10.1007/s00158-020-02743-9)

Roy, A. and Chakraborty, S. (2020) Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures. Reliability Engineering and System Safety, 200, 106948. (doi: 10.1016/j.ress.2020.106948)

Roy, A. , Manna, R. and Chakraborty, S. (2019) Support vector regression based metamodeling for structural reliability analysis. Probabilistic Engineering Mechanics, 55, pp. 78-89. (doi: 10.1016/j.probengmech.2018.11.001)

Book Sections

Roy, A. and Chakraborty, S. (2019) Improved adaptive response surface method for reliability analysis of structures. In: Varde, P.V., Prakash, R.V. and Vinod, G. (eds.) Reliability, Safety and Hazard Assessment for Risk-Based Technologies. Series: Lecture notes in mechanical engineering. Springer: Singapore, pp. 369-379. ISBN 9789811390081 (doi: 10.1007/978-981-13-9008-1_29)

Conference Proceedings

Roy, A. and Chakraborty, S. (2020) Improved Support Vector Regression Based Metamodel for Reliability Analysis of Structure. In: Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, Hannover, 22-26 Sept 2019, pp. 2099-2106. ISBN 9789811127243

This list was generated on Sat Dec 21 19:20:48 2024 GMT.