复合材料科学与工程Issue(5)：38-44,7.DOI:10.19936/j.cnki.2096-8000.20250528.005
基于双向随机微力学模型的复合材料内聚强度预测
Prediction of cohesive strength of composites based on a bidirectional stochastic micromechanical model
摘要
Abstract
To address the complexity of the damage effectiveness mechanism in composites,this paper presents a bidirectional stochastic micromechanical model to characterize the structural cohesive layers using microscopic rep-resentative volume units(RVEs)from a micromechanical perspective.This model is used to investigate the cohesive strength of composites under three delamination modes.An extended linear Drucker-Prager yield criterion is selected to parametrically define the stochastic microstructure and predict the initiation of cracks in the matrix.The prediction results demonstrate that the cohesive strength is strongly influenced by the random microstructure morphology,spe-cifically the minimum vertical fiber spacing,minimum transverse fiber spacing,fiber vertical angle,and fiber lay-up angles parameters.By proposing a cohesive strength calculation framework based on the physical mechanism,this study has significant research implications in predicting delamination behavior in composite laminates.Furthermore,it provides an important basis for structural design and performance optimization in engineering applications.关键词
复合材料/分层/代表性体积单元/内聚强度Key words
composites/delamination/representative volume unit/cohesive strength分类
通用工业技术引用本文复制引用
许明朝,田阿利,王千一,罗怡..基于双向随机微力学模型的复合材料内聚强度预测[J].复合材料科学与工程,2025,(5):38-44,7.基金项目
江苏省海洋工程装备与高技术船舶协同创新中心(HZ20220002) （HZ20220002）
