DAS, J. K., S. Bansal, L. Dudi and B. Bhattacharjee, Significance of Paste content on Workability, Mechanical Performance, and Microstructure of Ultra-High-Performance Concrete, ASCE Journal of Materials in Civil Engineering, Forthcoming.
Das, J. K., Prusty, J. K. and S. Bansal, Effect of silica fume type, mixing sequence, and curing regime on workability and compressive strength of UHPC, Magazine of Concrete Research, 2025. https://doi.org/10.1680/jmacr.24.00343
Bansal, S. and P. Kumar, Assessment of One-Way Shear Design Method of IS-456:2000, Journal of Structural Engineering CSIR-SERC, 2023. http://jose.serc.res.in/index.php/JOSE/article/view/219
Meena, A. , S. Yadav, A. K. Jha and S. Bansal, Improved Design Recommendation for Biaxially Loaded Rectangular RC Columns, Sadhana, 2023. 48(101). https://doi.org/10.1007/s12046-023-02153-9
Iqbal, T. and S. Bansal, Reliability Analysis of Flexural Members Designed as per Indian Standard Code. Sadhana, 2021. 46(185). https://doi.org/10.1007/s12046-021-01715-z
Khalid, M. A. and S. Bansal, A Two-Stage Simulation-Based Framework for Reliability-Based Robust Design Optimization of Systems, Optimization and Engineering, 2025. https://doi.org/10.1007/s11081-025-09986-9 https://rdcu.be/evP87
Khalid, M. A. and S. Bansal, Reliability-Based Design Optimization of Systems in Voronoi Tessellation-Based Partitioned Design Space, Structures, 2024. https://doi.org/10.1016/j.istruc.2024.108137
Khalid, M. A. and S. Bansal, Improved Stochastic Subset Optimization Method for Structural Design Optimization, Advances in Engineering Software 2023. 188: p. 103568. https://doi.org/10.1016/j.advengsoft.2023.103568
Garg, V., K. Deep and S. Bansal, Improved Teaching Learning Algorithm with Laplacian Operator for Solving Nonlinear Engineering Optimization Problems, Engineering Applications of Artificial Intelligence, 2023. 124: p. 106549. https://doi.org/10.1016/j.engappai.2023.106549
Khalid, M. A. and S. Bansal, A Framework for Robust Design Optimization of Tuned Mass Dampers by Stochastic Subset Optimization, International Journal of Structural Stability and Dynamics, 2023. 23(13): p. 2350155. https://doi.org/10.1142/S0219455423501559
Khalid, M. A., S. Bansal and V. Ramamohan, An Augmented Formulation for Robust Design Optimization of Structures using Stochastic Simulation Methods. Research in Engineering Design, 2022. 34: p. 179-200. https://doi.org/10.1007/s00163-022-00405-z
Kiran, R. P., A. Das and S. Bansal, A state-of-the-art review of Bayesian finite element model updating techniques for structural systems, Probabilistic Engineering Mechanics, 2025. https://doi.org/10.1016/j.probengmech.2025.103761
Rather, S. and S. Bansal, Bayesian Modal Identification of Non-Classically Damped Systems Using Frequency Domain Data, Journal of Sound and Vibration , 2025. 608: p. 119039. https://doi.org/10.1016/j.jsv.2025.119039
Kiran R. P. and S. Bansal, Finite element model updating and damage detection using strain-based modal data in the Bayesian framework, Journal of Sound and Vibration, 2024. https://doi.org/10.1016/j.jsv.2024.118457
Henikish, E. K. and S. Bansal, Model Reduction Based Bayesian Updating of Non-Classically Damped Systems Using Modal Data from Multiple Setups, Acta Mechanica, 2023. https://rdcu.be/dwGIw
Das A. and S. Bansal, Hierarchical Bayesian model updating using modal data based on dynamic condensation, Journal of Vibration Engineering & Technologies 2023. https://rdcu.be/dlZUd
Das A., R. P. Kiran and S. Bansal, A novel Metropolis-within-Gibbs sampler for Bayesian model updating using modal data based on dynamic reduction, Structural Engineering and Mechanics-An International Journal, 2023. 87(1): p. 1-18. https://doi.org/10.12989/sem.2023.87.1.001
Henikish, E. K., A. Das and S. Bansal, On the Bayesian Model Updating Based on Model Reduction Using Complex Modal Data for Damage Detection, Journal of Sound and Vibration, 2023. 556: p. 117712. https://doi.org/10.1016/j.jsv.2023.117712
Rather, S. and S. Bansal, Bayesian Modal Identification of Non-Classically Damped Systems Using Time-Domain Data, Mechanical Systems and Signal Processing, 2023. 197: p. 110349. https://doi.org/10.1016/j.ymssp.2023.110349
Bansal, S. and S.H. Cheung, On the Bayesian sensor placement for two-stage structural model updating and its validation. Mechanical Systems and Signal Processing, 2022. 169. https://doi.org/10.1016/j.ymssp.2021.108578
Bansal, S., Bayesian Model Updating using Modal Data Based on Dynamic Condensation. ASCE Journal of Engineering Mechanics, 2020. 146(2). https://doi.org/10.1061/(ASCE)EM.1943-7889.0001714
Bansal, S., Bayesian Optimal Experimental Design Involving Multiple Setups for Dynamic Structural Testing. International Journal for Uncertainty Quantification, 2019. 9(5): p. 439-452 https://doi.org/10.1615/Int.J.UncertaintyQuantification.2019025897
Bansal, S. and S.H. Cheung, A subset simulation based approach with modified conditional sampling and estimator for loss exceedance curve computation. Reliability Engineering & System Safety, 2018. 177: p. 94-107. https://doi.org/10.1016/j.ress.2018.05.003
Bansal, S. and S.H. Cheung, On the evaluation of multiple failure probability curves in reliability analysis with multiple performance functions. Reliability Engineering & System Safety, 2017. 167: p. 583-594. https://doi.org/10.1016/j.ress.2017.07.010
Bansal, S. and S.H. Cheung, A new stochastic simulation algorithm for updating robust reliability of linear structural dynamic systems subjected to future Gaussian excitations. Computer Methods in Applied Mechanics and Engineering, 2017. 326: p. 481-504. https://doi.org/10.1016/j.cma.2017.07.032
Cheung, S.H. and S. Bansal, A new Gibbs sampling based algorithm for Bayesian model updating with incomplete complex modal data. Mechanical Systems and Signal Processing, 2017. 92: p. 156-172. https://doi.org/10.1016/j.ymssp.2017.01.015
Bansal, S. and S.H. Cheung, Stochastic Simulation Algorithm for Robust Reliability Updating of Structural Dynamic Systems Based on Incomplete Modal Data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2017. 3(4): p. 04017008. https://doi.org/10.1061/AJRUA6.0000911
Bansal, S. and S.H. Cheung, Stochastic Sampling based Bayesian Model Updating with Incomplete Modal Data. International Journal for Uncertainty Quantification, 2016. 6(3): p. 229-244. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2016017194
Bansal, S., A New Gibbs Sampling Based Bayesian Model Updating Approach using Modal Data from Multiple Setups. International Journal for Uncertainty Quantification, 2015. 5(4): p. 361-374. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2015013581
Bhalla, S., A. Gupta, S. Bansal and T. Garg, Ultra Low-cost Adaptations of Electro-mechanical Impedance Technique for Structural Health Monitoring. Journal of Intelligent Material Systems and Structures, 2009. 20(8): p. 991-999. https://doi.org/10.1177/1045389X08100384