A machine learning based approach to predict the stress intensity factors in 2D linear elastic fracture mechanics - Zhang 2022a - Scipedia

ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and Engineering

P. Zhang

Abstract

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Document information

Published on 24/11/22
Accepted on 24/11/22
Submitted on 24/11/22

Volume Computational Solid Mechanics, 2022
DOI: 10.23967/eccomas.2022.012
Licence: CC BY-NC-SA license

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Keywords

Machine learning • Neural network • Fracture mechanics • Stress intensity factors • Physics-informed neural network

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