Prediction of cohesive strength of composites based on a bidirectional stochastic micromechanical model

doi:10.19936/j.cnki.2096-8000.20250528.005

Abstract

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 representative 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, specifically 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.

Key words: composites, delamination, representative volume unit, cohesive strength

CLC Number:

TB332

XU Mingchao, TIAN Ali, WANG Qianyi, LUO Yi. Prediction of cohesive strength of composites based on a bidirectional stochastic micromechanical model[J]. COMPOSITES SCIENCE AND ENGINEERING, 2025, 0(5): 38-44.

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