Learning material law from displacement fields by artificial neural network

Learning material law from displacement fields by artificial neural network

ABSTRACT: The recently developed data-driven approach can establish the material law for nonlinear elastic composite materials (especially newly developed materials) by the generated stress-strain data under different loading paths (Computational Mechanics, 2019). Generally, the displacement (or str...

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Bibliographic Details
Main Authors: Hang Yang, Qian Xiang, Shan Tang, Xu Guo
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Theoretical and Applied Mechanics Letters
Subjects:
Data-driven
Material law
Displacement field
Digital image correlation
Artificial neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2095034920300349

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http://www.sciencedirect.com/science/article/pii/S2095034920300349

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