From the 1 of 7 linked papers with an AI index.
7 papers
Process-fracture mapping of a DLP-printed photopolymer using Bayesian active learning and surrogate-based sensitivity analysis
Ethan Blackwell, Yogesh C. Chandrashekar, Guoqiang Li +1
Digital light processing (DLP) enables rapid fabrication of polymer structures, but fracture performance depends on multiple interacting processing variables, making exhaustive exp…
History Matters: Damage-Mediated Amplification of Brain Deformation and Injury Risk under Repeated Head Impacts
Carson Cooper, Anu Tripathi, Genevieve Palardy +1
Computational head models are typically applied to isolated impacts, leaving repeated head loading largely unexplored. An Ogden-Roxburgh Mullins damage formulation was implemented…
Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography
Boyuan Deng, Kshitiz Upadhyay, Michael Shields
The paper extends physics‑informed Gaussian‑process regression to complex‑valued Helmholtz wavefields by converting the complex operator into a coupled real system, allowing uncert…
A constitutive framework for distortional-mode-dependent failure in soft materials: Tension-compression asymmetry and beyond
Yogesh C. Chandrashekar, Kshitiz Upadhyay
Soft materials exhibit pronounced tension-compression asymmetry (TCA) in their softening and failure, a feature that conventional hyperelastic and continuum-damage formulations fai…
A physics-informed data-driven framework for modeling hyperelastic materials with progressive damage and failure
Kshitiz Upadhyay
This work presents a two-stage physics-informed, data-driven constitutive modeling framework for hyperelastic soft materials undergoing progressive damage and failure. The framewor…
Stress Softening Damage in Strongly Nonlinear Viscoelastic Soft Materials A Physics Informed Data Driven Constitutive Model with Time Temperature Coupling
Alireza Ostadrahimi, Amir Teimouri, Kshitiz Upadhyay +1
This study presents a novel physics informed, data-driven modeling framework for capturing the strongly nonlinear thermo-viscoelastic behavior of soft materials exhibiting stress s…