Identification of plastic constitutive parameters at large deformations from three dimensional displacement fields

DOI10.1007/s00466-011-0627-0zbMath1351.74013OpenAlexW2010747106WikidataQ117417225 ScholiaQ117417225MaRDI QIDQ416257

Marco Rossi, Fabrice Pierron

Publication date: 10 May 2012

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

Full work available at URL: https://eprints.soton.ac.uk/210579/1/Revise.pdf

zbMATH Keywords

inverse problemdeviatoric stress tensorvirtual fields method

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Large-strain, rate-independent theories of plasticity (including nonlinear plasticity) (74C15) Inverse problems in equilibrium solid mechanics (74G75)

Related Items (3)

Calibration of elastoplastic constitutive model parameters from full‐field data with automatic differentiation‐based sensitivities ⋮ A strategy to train machine learning material models for finite element simulations on data acquirable from physical experiments ⋮ Machine learning-assisted parameter identification for constitutive models based on concatenated loading path sequences

Uses Software

• CalculiX

Cites Work

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