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Updated: Jan 13, 2026

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基于物理信息的神经网络的复合代表体积元素的生成,具有不均的分布和高体积分数

Tianlu Zheng1, Chaocan Cai1, Fan Yang1

  • 1National Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Center for Composite Materials and Structures, Harbin Institute of Technology, Harbin 150080, China.

Polymers
|January 10, 2026
PubMed
概括

本研究引入了一种新的物理信息神经网络 (PINN) 方法,用于在复合材料中生成代表体积元素 (RVE). 它有效地在没有大型数据集的情况下创建复杂的微观结构,从而实现准确的机械性质预测.

关键词:
损害行为分析 损害行为分析微机械分析 微机械分析不均的分布情况.基于物理学的神经网络.聚合物复合材料是一种聚合物复合材料.是一个代表的体积元件.统计分析是一种统计分析.

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