Model-free data-driven simulation of inelastic materials using structured data sets, tangent space information and transition rules

DOI10.1007/s00466-022-02174-xzbMath1498.74081arXiv2101.10730OpenAlexW4229363943WikidataQ113326468 ScholiaQ113326468MaRDI QIDQ2171494

Kerem Ciftci, Klaus Hackl

Publication date: 9 September 2022

Published in: Computational Mechanics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.10730

zbMATH Keywords

elastoplasticitynonlinear elasticityisotropic hardeningdata sciencetransition ruledata-driven computinghistory-dependent materialtangent space information

Mathematics Subject Classification ID

Nonlinear elasticity (74B20) Small-strain, rate-independent theories of plasticity (including rigid-plastic and elasto-plastic materials) (74C05) Theory of constitutive functions in solid mechanics (74A20) Numerical and other methods in solid mechanics (74S99)

Related Items (5)

Model-free data-driven inelasticity in Haigh-Westergaard space -- a study how to obtain data points from measurements ⋮ \(\mathrm{FE^{ANN}}\): an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining ⋮ A data‐driven framework for evolutionary problems in solid mechanics ⋮ Graph-based representation of history-dependent material response in the data-driven computational mechanics framework ⋮ A data-driven approach for plasticity using history surrogates: theory and application in the context of truss structures

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