复合材料壳体结构损伤演化多尺度表征与强度智能预测进展
Progresses in Multiscale Characterization of Damage Evolution and Strength Intelligent Prediction for Composites Shell Structure
杨正伟 1张言 1张赛赛 1寇光杰 1刘梦庆 1蔡辉 1谢星宇2
作者信息
- 1. 火箭军工程大学导弹工程学院,陕西 西安 710025
- 2. 火箭军工程大学基础部,陕西 西安 710025
- 折叠
摘要
随着计算机算力的发展和数值模拟技术的日趋成熟,以跨宏细观参数传递为主的复合材料多尺度表征计算应运而生,得到了世界各国学者和研究人员的关注.本文基于纤维缠绕复合材料壳体结构损伤演化研究,详述了在单向纤维增强复合材料宏观工程弹性常数预测、纤维随机分布代表性体积元高效建模、纤维增强复合材料损伤演化多尺度表征与强度预测、机器学习在纤维增强复合材料领域应用方面的进展.最后,对未来发展趋势进行了预测.
Abstract
With the development of computer computing technology and the maturity of numerical simulation technology,the multi-scale characterization calculation of composites based on the transfer of parameters across macroscopic and microscopic has emerged,which attracted the attention of scholars and researchers all over the world.Based on the study of structural damage evolution of fiber wound composites shell,this paper describes the progresses in the prediction of macroscopic engineering elastic constants in unidirectional fiber reinforced composites,efficient modeling of representative volume elements with random fiber distribution,multiscale characterization of damage evolution and prediction in strength intelligent of fiber reinforced composites and application of machine learning in fiber reinforced composites.Finally,the future development trend is predicted.
关键词
复合材料壳体/损伤表征/多尺度/机器学习/强度预测Key words
composites shell/damage characterization/multiscale/machine learning/strength prediction引用本文复制引用
基金项目
国家自然科学基金重大研究计划(92060106)
国家自然科学基金(52075541)
陕西省创新能力支撑计划—科技创新团队(2022TD-62)
出版年
2024
NETL
NSTL
维普
万方数据