34 citations · 50 across the 4 of their papers we have counts for
4 papers
Rapid Quantification of Dynamic and Spall Strength of Metals Across Strain Rates
Suhas Eswarappa Prameela, Christopher C. Walker, Christopher S. DiMarco +8
The response of metals and their microstructures under extreme dynamic conditions can be markedly different from that under quasistatic conditions. Traditionally, high strain rates…
A predictive model for fluid-saturated, brittle granular materials during high-velocity impact events
Aaron S. Baumgarten, Justin Moreno, Brett Kuwik +3
Granular materials -- aggregates of many discrete, disconnected solid particles -- are ubiquitous in natural and industrial settings. Predictive models for their behavior have wide…
Physics-informed Data-driven Discovery of Constitutive Models with Application to Strain-Rate-sensitive Soft Materials
Kshitiz Upadhyay, Jan N. Fuhg, Nikolaos Bouklas +1
A novel data-driven constitutive modeling approach is proposed, which combines the physics-informed nature of modeling based on continuum thermodynamics with the benefits of machin…
Data-driven Uncertainty Quantification in Computational Human Head Models
Kshitiz Upadhyay, Dimitris G. Giovanis, Ahmed Alshareef +6
Computational models of the human head are promising tools for estimating the impact-induced response of brain, and thus play an important role in the prediction of traumatic brain…