Data-driven models for the dynamic response of concrete
By kramesh1@jh.edu, 28 February, 2025
Image
ConcreteRes.jpeg
Funding Agency
Defense Threat Reduction Agency
Team
Dr. Chenyang Li, Prof. Michael Shields, KT Ramesh
Collaborators
The MSEE URA; Prof. Ryan Hurley, Prof. Todd Hufnagel; Karagozian & Case
Research Areas
Mechanics
Materials
AI/ML
Grant Number
MSEE Sprint
Project Summary
Concrete is subjected to impact and blast loads in a variety of applications. Working with industry collaborators, we develop and implement data-driven constitutive models for concrete under these extreme conditions.