Peer-reviewed Journals

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UHPC/UHPFRC and Structural Design

  1. Islam, S. U. and S. Bansal, Database Driven Modeling Error Assessment of Shear Design Methods for UHPC Flexural Members Without Shear Reinforcement, ASCE's Journal of Structural Design and Construction Practice, Forthcoming.
  2. Bansal, S., Workability Evaluation of UHPC: Establishing the Relationship Between Mini-Cone and Slump Flow Measurements, ACI Materials Journal, 2025. [DOI]
  3. 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, 2025. [DOI]
  4. 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. [DOI]
  5. Bansal, S. and P. Kumar, Assessment of One-Way Shear Design Method of IS-456:2000, Journal of Structural Engineering CSIR-SERC, 2023. [Article]
  6. Meena, A., S. Yadav, A. K. Jha and S. Bansal, Improved Design Recommendation for Biaxially Loaded Rectangular RC Columns, Sadhana, 2023. 48(101). [DOI]
  7. Iqbal, T. and S. Bansal, Reliability Analysis of Flexural Members Designed as per Indian Standard Code, Sadhana, 2021. 46(185). [DOI]

Design Optimization

  1. Khalid, M. A. and S. Bansal, A Two-Stage Simulation-Based Framework for Reliability-Based Robust Design Optimization of Systems, Optimization and Engineering, 2025. [DOI]   [Full Text]
  2. Khalid, M. A. and S. Bansal, Reliability-Based Design Optimization of Systems in Voronoi Tessellation-Based Partitioned Design Space, Structures, 2024. [DOI]
  3. Khalid, M. A. and S. Bansal, Improved Stochastic Subset Optimization Method for Structural Design Optimization, Advances in Engineering Software, 2024. 188: p. 103568. [DOI]
  4. 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. [DOI]
  5. 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. [DOI]
  6. 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. [DOI]

Inverse Modelling

  1. Henikish, E. K. and S. Bansal, FE Model Bayesian Updating with Complex Modal Parameters for a Lab-scale Pedestrian Bridge, Journal of Civil Structural Health Monitoring, 2026. [Full Text]
  2. 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. [DOI]
  3. 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. [DOI]
  4. 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. [DOI]
  5. Henikish, E. K. and S. Bansal, Model Reduction Based Bayesian Updating of Non-Classically Damped Systems Using Modal Data from Multiple Setups, Acta Mechanica, 2024. [Full Text]
  6. Das, A. and S. Bansal, Hierarchical Bayesian Model Updating Using Modal Data Based on Dynamic Condensation, Journal of Vibration Engineering & Technologies, 2024. [Full Text]
  7. 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. [DOI]
  8. 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. [DOI]
  9. 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. [DOI]
  10. 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. [DOI]
  11. Bansal, S., Bayesian Model Updating Using Modal Data Based on Dynamic Condensation, ASCE Journal of Engineering Mechanics, 2020. 146(2). [DOI]
  12. Bansal, S., Bayesian Optimal Experimental Design Involving Multiple Setups for Dynamic Structural Testing, International Journal for Uncertainty Quantification, 2019. 9(5): p. 439-452. [DOI]
  13. 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. [DOI]
  14. 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. [DOI]
  15. 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. [DOI]
  16. 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. [DOI]
  17. 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. [DOI]
  18. 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. [DOI]
  19. 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. [DOI]
  20. 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. [DOI]
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