124 citations · 190 across the 14 of their papers we have counts for
4 papers · 1 filter
Probabilistic Digital Twin for Misspecified Structural Dynamical Systems via Latent Force Modeling and Bayesian Neural Networks
Sahil Kashyap, Rajdip Nayek
This work presents a probabilistic digital twin framework for response prediction in dynamical systems governed by misspecified physics. The approach integrates Gaussian Process La…
Safe Reinforcement Learning-Based Vibration Control: Overcoming Training Risks with LQR Guidance
Rohan Vitthal Thorat, Juhi Singh, Rajdip Nayek
Structural vibrations induced by external excitations pose significant risks, including safety hazards for occupants, structural damage, and increased maintenance costs. While conv…
A recursive Bayesian neural network for constitutive modeling of sands under monotonic and cyclic loading
Toiba Noor, Soban Nasir Lone, G. V. Ramana +1
In geotechnical engineering, constitutive models are central to capturing soil behavior across diverse drainage conditions, stress paths,and loading histories. While data driven de…
A Gaussian process latent force model for joint input-state estimation in linear structural systems
Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan
The problem of combined state and input estimation of linear structural systems based on measured responses and a priori knowledge of structural model is considered. A novel method…