Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials

DOI10.1016/J.CMA.2022.115348zbMath1507.74007arXiv2205.00578WikidataQ120500222 ScholiaQ120500222MaRDI QIDQ6397962

Jiun-Shyan Chen, Xiaolong He

Publication date: 1 May 2022

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of constitutive functions in solid mechanics (74A20) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)

This page was built for publication: Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials