计算力学学报2024，Vol.41Issue(4)：726-733,8.DOI:10.7511/jslx20230112001
数据/物理驱动的复合材料非线性力学响应代理模型
Data/physics-driven surrogate models for the nonlinear mechanical response of composite materials
摘要
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.关键词
复合材料/代理模型/多尺度分析/数据驱动/物理驱动Key words
composite material/surrogate model/multi-scale analysis/data-driven modeling/physics-driven modeling分类
通用工业技术引用本文复制引用
明瑞典,刘云飞,王计真,李想,曾庆磊..数据/物理驱动的复合材料非线性力学响应代理模型[J].计算力学学报,2024,41(4):726-733,8.基金项目
国家自然科学基金(12002050) （12002050）
冲击环境材料技术重点实验室基金(6142902200401)资助项目. （6142902200401）
