| Ultra low-cost adaptations of electro-mechanical impedance technique for structural health monitoring S Bhalla, A Gupta, S Bansal, T Garg Journal of Intelligent Material Systems and Structures 20 (8), 991-999, 2009 | 124 | 2009 |
| A new Gibbs sampling based algorithm for Bayesian model updating with incomplete complex modal data SH Cheung, S Bansal Mechanical Systems and Signal Processing 92, 156-172, 2017 | 71 | 2017 |
| A new Gibbs sampling based Bayesian model updating approach using modal data from multiple setups S Bansal International Journal for Uncertainty Quantification 5 (4), 2015 | 26 | 2015 |
| Bayesian model updating using modal data based on dynamic condensation S Bansal Journal of Engineering Mechanics 146 (2), 04019123, 2020 | 19 | 2020 |
| A new stochastic simulation algorithm for updating robust reliability of linear structural dynamic systems subjected to future Gaussian excitations S Bansal, SH Cheung Computer Methods in Applied Mechanics and Engineering 326, 481-504, 2017 | 14 | 2017 |
| On the evaluation of multiple failure probability curves in reliability analysis with multiple performance functions S Bansal, SH Cheung Reliability Engineering & System Safety 167, 583-594, 2017 | 12 | 2017 |
| A stochastic simulation algorithm for Bayesian model updating of linear structural dynamic system with non-classical damping SH Cheung, S Bansal | 8 | 2013 |
| On the Bayesian sensor placement for two-stage structural model updating and its validation S Bansal, SH Cheung Mechanical Systems and Signal Processing 169, 108578, 2022 | 7 | 2022 |
| Stochastic sampling based Bayesian model updating with incomplete modal data S Bansal, SH Cheung International Journal for Uncertainty Quantification 6 (3), 2016 | 7 | 2016 |
| Framework for robust design optimization of tuned mass dampers by stochastic subset optimization MA Khalid, S Bansal International Journal of Structural Stability and Dynamics 23 (13), 2350155, 2023 | 5 | 2023 |
| Stochastic simulation algorithm for robust reliability updating of structural dynamic systems based on incomplete modal data S Bansal, SH Cheung ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2017 | 5 | 2017 |
| A new Gibbs-sampling based algorithm for Bayesian model updating of linear dynamic systems with incomplete complex modal data CS Hung, S Bansal Lecture Notes in Engineering and Computer Science, 2013 | 5 | 2013 |
| Improved teaching learning algorithm with Laplacian operator for solving nonlinear engineering optimization problems V Garg, K Deep, S Bansal Engineering Applications of Artificial Intelligence 124, 106549, 2023 | 4 | 2023 |
| An augmented formulation for robust design optimization of structures using stochastic simulation method MA Khalid, S Bansal, V Ramamohan Research in Engineering Design 34 (2), 179-200, 2023 | 4 | 2023 |
| On the Bayesian model updating based on model reduction using complex modal data for damage detection EK Henikish, A Das, S Bansal Journal of Sound and Vibration 556, 117712, 2023 | 3 | 2023 |
| Bayesian optimal experimental design involving multiple setups for dynamic structural testing S Bansal International Journal for Uncertainty Quantification 9 (5), 2019 | 3 | 2019 |
| A stochastic simulation based approach for seismic loss analysis and probability function computation SH Cheung, S Bansal | 3 | 2012 |
| A subset simulation based approach with modified conditional sampling and estimator for loss exceedance curve computation S Bansal, SH Cheung Reliability Engineering & System Safety 177, 94-107, 2018 | 2 | 2018 |
| A stochastic simulation algorithm for updating robust reliability of nonlinear structural dynamic systems based on incomplete modal data SH Cheung, S Bansal Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and …, 2014 | 2 | 2014 |
| A new stochastic simulation algorithm for updating robust reliability of linear structural dynamic systems SH Cheung, S Bansal | 2 | 2013 |
Sai Hung CHEUNG, PhD (CALTECH)Associate Professor, the University of Hong Kongبريد إلكتروني تم التحقق منه على hku.hk
