Thermodynamically consistent machine-learned internal state variable approach for data-driven modeling of path-dependent materials
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Publication:2679297
DOI10.1016/j.cma.2022.115348OpenAlexW4225405004WikidataQ120500222 ScholiaQ120500222MaRDI QIDQ2679297
Publication date: 19 January 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.00578
thermodynamicsrecurrent neural networksinternal state variablespath-dependent materialsphysics-informeddata-driven constitutive modeling
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)
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Uses Software
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