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Prediction of the cohesive strength for simulating composite delamination by a micro-mechanical model based on random RVE

机译:基于随机rve的微机械模型模拟复合分层的粘性强度的预测

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A three-dimensional micro-mechanical model based on the random RVE is developed to predict the cohesive strengths of all the three delamination modes in unidirectional laminates. The interface RVE with two layers of randomly distributed fibers is established to represent the cohesive layer. Two types of random microstructure corresponding to the square and hexagonal periodic packing are defined. Delamination is assumed to be induced by matrix yield and cracking. The extended linear Drucker?Prager yield criterion and a paraboloidal yield criterion are used to predict the crack initiation in the matrix and compared with the major principal stress criterion. The predicted results show that the cohesive strengths are largely dependent on the type of random microstructure and the random microstructure morphology described by the minimum inter -fiber dis-tance and the fiber alignment angle. Global sensitivity analysis based on a polynomial chaos expansion surro -gate model is done to quantify the influence of the geometrical parameters on the variance of the cohesive strengths. Moreover, the predicted cohesive strengths are found to be unequal.
机译:开发了一种基于随机rve的三维微机械模型,以预测单向层压板中所有三种分层模式的内聚强度。建立具有两层随机分布式纤维的界面RVE以表示粘性层。定义了与正方形和六边形周期性包装相对应的两种类型的随机微结构。假设分层被基质产率和裂化诱导。扩展的线性滴当器?普拉格屈服标准和抛物面屈服标准用于预测基质中的裂纹引发并与主要的主应力标准相比。预测结果表明,粘性强度在很大程度上取决于随机微观结构的类型和由最小间隔的缺失和纤维对准角描述的随机微观结构形态。基于多项式混沌扩展速溶速度模型的全局敏感性分析是为了量化几何参数对粘性强度方差的影响。此外,发现预测的粘性强度是不平等的。

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