Sensitivity-based virtual fields for the non-linear virtual fields method

DOI10.1007/s00466-017-1411-6zbMath1386.74151OpenAlexW2608471428WikidataQ59613659 ScholiaQ59613659MaRDI QIDQ1697121

Fabrice Pierron, Aleksander Marek, Frances M. Davis

Publication date: 15 February 2018

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

Full work available at URL: https://doi.org/10.1007/s00466-017-1411-6

zbMATH Keywords

digital image correlationelasto-plasticinverse identificationvirtual fields methodfull field measurementsensitivity-based virtual fields

Mathematics Subject Classification ID

Related Items (5)

Data-driven nonparametric identification of material behavior based on physics-informed neural network with full-field data ⋮ Machine learning-assisted parameter identification for constitutive models based on concatenated loading path sequences ⋮ A computational approach to design new tests for viscoplasticity characterization at high strain-rates ⋮ Introducing regularization into the virtual fields method (VFM) to identify nonhomogeneous elastic property distributions ⋮ Nonlinear material identification of heterogeneous isogeometric Kirchhoff-Love shells

Uses Software

• HYPLAS

Cites Work

• Unnamed Item
• Application of the virtual fields method to mechanical characterization of elastomeric materials
• Extension of the virtual fields method to elasto-plastic material identification with cyclic loads and kinematic hardening
• Applying the virtual fields method to the identification of elasto-plastic constitutive parameters
• Sensitivity of the virtual fields method to noisy data
• Numerical issues in the virtual fields method

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