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An integrated computational framework for simulating the failure response of carbon fiber reinforced polymer composites

机译:模拟碳纤维增强聚合物复合材料失效响应的集成计算框架

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摘要

A new computational framework is introduced for the automated finite element (FE) modeling of fiber reinforced composites and simulating their micromechanical behavior. The proposed methodology relies on a new microstructure reconstruction algorithm that implements the centroidal Voronoi tessellation (CVT) to generate an initial uniform distribution of fibers with desired volume fraction and size distribution in a repeating unit cell of the composite. The genetic algorithm (GA) is then employed to optimize locations of fibers such that they replicate the target spatial arrangement. We also use a non-iterative mesh generation algorithm, named conforming to interface structured adaptive mesh refinement (CISAMR), to create FE models of the CFRPC. The CVT-GA-CISAMR framework is then employed to investigate the appropriate size of the composite's representative volume element. We also study the strength and failure mechanisms in the CFRPC subject to varying uniaxial and mixed-mode loadings.
机译:引入了一种新的计算框架,用于纤维增强复合材料的自动有限元(FE)建模并模拟其微观力学行为。所提出的方法依赖于一种新的微观结构重建算法,该算法实现了质心Voronoi镶嵌(CVT),以在复合材料的重复晶胞中生成具有所需体积分数和尺寸分布的纤维的初始均匀分布。然后使用遗传算法 (GA) 来优化纤维的位置,使其复制目标空间排列。我们还使用一种非迭代网格生成算法,称为符合界面结构化自适应网格细化 (CISAMR),以创建 CFRPC 的有限元模型。然后采用CVT-GA-CISAMR框架来研究复合材料代表性体积单元的适当尺寸。我们还研究了CFRPC在变化的单轴和混合模式载荷作用下的强度和破坏机理。

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