A data-driven approach for modeling tension-compression asymmetric material behavior: numerical simulation and experiment

DOI10.1007/s00466-021-02094-2OpenAlexW3205768255WikidataQ113326603 ScholiaQ113326603MaRDI QIDQ2115577

Shan Tang, Xu Guo, Jinhao Huang, Khalil l. Elkhodary, Hai Qiu, Hang Yang

Publication date: 17 March 2022

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

Full work available at URL: https://doi.org/10.1007/s00466-021-02094-2

zbMATH Keywords

data-drivenelasto-plastic materialsTC4ELI alloytension-compression asymmetric

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX)

Related Items (1)

An enhanced data-driven constitutive model for predicting strain-rate and temperature dependent mechanical response of elastoplastic materials

Uses Software

• F3DAM
• MAP123-EP

Cites Work

• Variational principles and the related bounding theorems for bi-modulus materials
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• Data-driven problems in elasticity
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• Data-driven computational mechanics
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• Data-Driven Self-consistent Clustering Analysis of Heterogeneous Materials with Crystal Plasticity
• On constitutive macro-variables for heterogeneous solids at finite strain
• A theory of the yielding and plastic flow of anisotropic metals
• Soil mechanics and plastic analysis or limit design

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