EventsThe 5th International Conference on Materials: Advances in Material Innovation
Published
This submission belongs to the session S8. AI and ML in Material Research of the event The 5th International Conference on Materials: Advances in Material Innovation
Published date
25 Sep, 2024
Academic Editor
author-avatarMaryam Tabrizian
Citation
Zheng Yu, Zhijun Zheng, Zihao Wang, A machine learning-assisted material constitutive model parameter extraction method, in Proceedings of The 5th International Conference on Materials: Advances in Material Innovation, Basel, 25 September–27 September 2024, MDPI: Basel, Switzerland
Share
Email
FaceBook
Twitter
Linkedin

A machine learning-assisted material constitutive model parameter extraction method

Zihao Wang 1
1. CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China
2. State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Science, Beisihuan West Road, Beijing, 100190, China
Abstract
Keywords
constitutive model,machine learning,PINNs