Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Priddy, Mathew
Committee Member
Dickel, Doyl
Committee Member
Sherburn, Jesse
Date of Degree
8-12-2026
Original embargo terms
Visible MSU Only 2 Years
Document Type
Graduate Thesis - Campus Access Only
Major
Computational Engineering
Degree Name
Master of Science (M.S.)
College
James Worth Bagley College of Engineering
Department
Computational Engineering Program
Abstract
A calibration strategy is proposed to identify the material parameters in the Johnson-Cook (JC) constitutive model and an enhanced high-rate variant for application in terminal ballistic simulations. The objectives were to characterize a 316L austenitic stainless steel with a reduced experimental program consisting of quasi-static tension and Taylor impact tests and then calibrate both constitutive models using finite element simulations and a surrogate-assisted optimization algorithm. Emphasis was made on whether the proposed inverse method could arrive at a consistent set of parameters and if the calibrated models were transferable to projectile penetration problems. The study showed that all five parameters within the JC model could be determined consistently with only a quasi-static stress-strain curve and two Taylor impact deformation profiles at different velocities. The enhanced high-rate JC model required one additional tension test at an intermediate strain rate (0.01 s⁻¹) to constrain the strain-rate sensitivity. The calibrated models reproduced the Taylor impact response within 1% error and accurately predicted residual velocity trends in two separate ballistic experiments, demonstrating the effectiveness of the proposed strategy for data-efficient and transferable model calibration.
Recommended Citation
Santiago-Padilla, Jean C., "Inverse calibration of high-strain-rate material models: a surrogate-assisted optimization study using Taylor impact tests" (2026). Theses and Dissertations. 7068.
https://scholarsjunction.msstate.edu/td/7068