Multiscale analysis method for profiled composite structures considering the forming process

Chen Liu, Jingran Ge*, Shuwei Zhao, Qi Zhang, Xiaodong Liu, Jun Liang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

The forming process often results in a highly heterogeneous mesoscale structure within composite structures, leading to enormous changes in mechanical properties. This complexity poses a significant challenge for accurately evaluating their mechanical behavior. In this paper, a concurrent multiscale analysis method considering the forming process is proposed to accurately analyze the mechanical behavior of profiled composite structures. The change in the internal mesoscale structure of the profiled composite structures is studied by simulating the preforming process of the composite woven fabric. A feature reduction scheme is proposed to reduce the multiscale model of profiled composite structures based on shear angle γ (selected as feature of the U-shape composite structure) and each feature region is coupled with a corresponding mesoscale model. Subsequently, a concurrent multiscale simulation method, based on self-consistent clustering analysis, is developed to model the mechanical behavior of profiled composite structures. The proposed method for simulation of profiled composite structures is validated against experimental data from literature covering various shear deformations. Finally, the progressive failure analysis of the U-shape composite structure (an example) is implemented to reveal its failure mechanism at both macroscale and mesoscale scales. The proposed multiscale analysis method can be applied to the structural design and the optimization of composite forming process.

源语言英语
文章编号106014
期刊Journal of the Mechanics and Physics of Solids
196
DOI
出版状态已出版 - 3月 2025

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引用此

Liu, C., Ge, J., Zhao, S., Zhang, Q., Liu, X., & Liang, J. (2025). Multiscale analysis method for profiled composite structures considering the forming process. Journal of the Mechanics and Physics of Solids, 196, 文章 106014. https://doi.org/10.1016/j.jmps.2024.106014