New article published!
Welcome to the SGMRS Group!
The SGMRS Group in the Department of Civil and Environmental Engineering at IIT Delhi studies the mechanics of materials and structures under extreme loading and uncertainty. Our research focuses on fracture and failure mechanics, high-strain-rate phenomena from ballistic and blast loading, and the design of architected metamaterials.
We also develop methods for inverse problems, combining filtering, optimisation, and uncertainty quantification to infer material behaviour and structural response from data. By integrating mechanics-based theory with advanced computational approaches, we aim to design resilient structures and next-generation engineered materials for challenging applications.
Shabir, S., & Sarkar, S. (2026). State variance-based uncertainty quantification in structural response via Malliavin formulation. Reliability Engineering & System Safety, 112502. Ref
Kowshik, S. A., Srinivasa, A. R., Sarkar, S., & Reddy, J. N. (2026). Estimation based simulation on nodal networks: A novel interpolation-free approach for solution of structural mechanics problems. Computer Methods in Applied Mechanics and Engineering, 451, 118684. Ref
Sinha, R., Kolati, H.S., Kaithavalappil, A., & Sarkar, S. (2025). Fracture analysis of nonlocally homogenised solids via stochastic gradient estimates embedded in physics-informed neural networks. Journal of the Mechanics and Physics of Solids, 106458. Ref
Sinha, R., Mukherjee, S., Adhikari, S., & Sarkar, S. (2025). Harnessing von Kármán nonlinearity for load-adaptive metadampers. Journal of Sound and Vibration, 119496. Ref
Kaithavalappil, A., & Sarkar, S. (2025). A stochastic gradient estimate-based formulation for capturing the high strain-rate behaviour of a ductile target subjected to ballistic impact. International Journal of Impact Engineering. Ref
Stochastic Mechanics & Uncertainty Quantification
Nonlinear Solid Mechanics & Structural Dynamics
Architected Solids & Mechanical Metamaterials
Nonlocal Continuum Theories & Fracture Mechanics
Rate-Dependant Mechanics & Multiscale Modelling
Data-Driven & Advanced Computational Mechanics