Full-field experiment-aided virtual modelling framework for inverse-based stochastic prediction of structures with elastoplasticity

DOI10.1016/j.cma.2024.117284MaRDI QIDQ6609799

Di Wu, Yuhang Tian, Wei Gao, Chengwei Yang, Zhen Luo, Dong Ruan, Yuan Feng

Publication date: 24 September 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

virtual model inverse uncertainty quantification experiment-aided Gibbs-slice sampling method stochastic elastoplastic analysis

Mathematics Subject Classification ID

Small-strain, rate-independent theories of plasticity (including rigid-plastic and elasto-plastic materials) (74C05) Inverse problems in equilibrium solid mechanics (74G75) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)

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