数据/物理驱动的复合材料非线性力学响应代理模型

Translated title of the contribution: Data/physics-driven surrogate models for the nonlinear mechanical response of composite materials

Rui Dian Ming, Yun Fei Liu, Ji Zhen Wang, Xiang Li, Qing Lei Zeng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Composites composed of two or more different materials are widely used in industrial fields because of their excellent mechanical properties. The analysis of multi-scale response of macroscopic composite structures requires a large amount of computations, which brings challenges to the development of efficient numerical methods. In recent years, the rapid development of artificial intelligence such as machine learning has created great opportunities for the efficient and accurate mechanical analysis of composite materials. But most mechanical surrogate models for multi-scale analysis of composite materials are purely data-driven, which lack physical interpretation. For the nonlinear mechanical response of the representative volume element of hyperelastic composites, three kinds of surrogate models are established based on data/physics-driven neural networks, employing different construction strategies to integrate physical interpretation into the models. By predicting the equivalent response of the representative volume element, the performance of the three models is analyzed,considering computational efficiency, accuracy and the range of applications. This work sheds more light on the establishment of effective surrogate models for the mechanical response of composites, balancing data and physics.

Translated title of the contributionData/physics-driven surrogate models for the nonlinear mechanical response of composite materials
Original languageChinese (Traditional)
Pages (from-to)726-733
Number of pages8
JournalJisuan Lixue Xuebao/Chinese Journal of Computational Mechanics
Volume41
Issue number4
DOIs
Publication statusPublished - Aug 2024

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Ming, R. D., Liu, Y. F., Wang, J. Z., Li, X., & Zeng, Q. L. (2024). 数据/物理驱动的复合材料非线性力学响应代理模型. Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 41(4), 726-733. https://doi.org/10.7511/jslx20230112001