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Micromechanical Progressive Failure Analysis of Fiber-Reinforced Composite Using Refined Beam Models

机译:用精制梁模型进行纤维增强复合材料的微机械渐进式故障分析

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摘要

An efficient and novel micromechanical computational platform for progressive failure analysis of fiber-reinforced composites is presented. The numerical framework is based on a recently developed micromechanical platform built using a class of refined beam models called Carrera unified formulation (CUF), a generalized hierarchical formulation which yields a refined structural theory via variable kinematic description. The crack band theory is implemented in the framework to capture the damage propagation within the constituents of composite materials. The initiation and orientation of the crack band in the matrix are determined using the maximum principal stress state and the traction-separation law governing the crack band growth is related to the fracture toughness of the matrix. A representative volume element (RVE) containing randomly distributed fibers is modeled using the component-wise (CW) approach, an extension of CUF beam model based on Lagrange type polynomials. The efficiency of the proposed numerical framework is achieved through the ability of the CUF models to provide accurate three-dimensional (3D) displacement and stress fields at a reduced computational cost. The numerical results are compared against experimental data available in the literature and an analogous 3D finite element model with the same constitutive crack band model. The applicability of CUF beam models as a novel micromechanical platform for progressive failure analysis as well as the multifold efficiency of CUF models in terms of CPU time are highlighted.
机译:提出了一种高效,新的微机械计算平台,用于纤维增强复合材料的渐进式故障分析。数值框架基于最近开发的微机械平台,使用一类称为Carrera统一配方(CUF)的精制梁模型,通过可变运动学描述产生精细结构理论的广义分层制剂。裂缝带理论在框架中实施以捕获复合材料成分内的损伤传播。使用最大主应力状态和控制裂纹带生长的牵引分离法与基质的断裂韧性有关的裂缝带中的起始和取向。含有随机分布式纤维的代表性体积元件(RVE)使用组件 - 明智(CW)方法建模,基于拉格朗日型多项式的CUF梁模型的延伸。通过CUF模型以降低的计算成本提供精确的三维(3D)位移和应力场来实现所提出的数值框架的效率。将数值结果与文献中可用的实验数据进行比较,以及具有相同组成裂纹频带模型的类似3D有限元模型。 CUF梁模型作为逐步故障分析的新型微机械平台的适用性以及CUF模型在CPU时间方面的多元效率。

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