Analytical model for prediction of strength and fracture paths characteristic to randomly oriented strand (ROS) composites
Analytical model for prediction of strength and fracture paths characteristic to randomly oriented strand (ROS) composites
复制标题
用于预测随机取向原丝 (ROS) 复合材料的强度和断裂路径特征的分析模型
DOI：
10.1016/j.compositesb.2016.04.017
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发表时间：
2016
影响因子：
13.1
通讯作者：
A. Yousefpour
中科院分区：
文献类型：
--
作者：
M. Selezneva;S. Roy;L. Lessard;A. Yousefpour
航空航天工业对制造具有复杂几何形状的复合材料部件越来越感兴趣。实现此目的的一种方法是使用由单向碳纤维带股组成的块状模塑料。这种材料系统被称为随机取向原丝（ROS）复合材料。 ROS 复合材料的巨大设计潜力已在文献中得到证明，但这种材料的建模技术仍处于起步阶段。本文提出了一种随机二维建模技术，用于根据单股的机械性能预测 ROS 复合材料的强度。该模型代表了 ROS 复合材料的微观结构和全厚度断裂形态特征。经典层压理论和 Hashin 准则用于预测线材断裂，同时采用层间强度和断裂韧性来解决线材脱粘问题。该模型成功预测了 ROS 复合材料的强度，捕捉了股线尺寸对性能的影响，描述了材料的异质性，并证明了失效遵循“最薄弱环节”原则。它还表明热塑性 ROS 复合材料优于热固性（例如环氧树脂）复合材料。
There is an emerging interest in the aerospace industry to manufacture composite components with intricate geometries. One way to do this is by using a bulk moulding compound which consists of strands of unidirectional carbon-fibre tape. This material system is termed randomly-oriented strand (ROS) composites. The great design potential of ROS composites has been demonstrated in the literature, but the modelling techniques for this material are in their infancy. This paper proposes a stochastic 2D modelling technique for predicting strength of ROS composites from the mechanical properties of the individual strands. This model is representative of the microstructure and the through-the-thickness fracture morphologies characteristic to ROS composites. Classical laminate theory and Hashin's criteria are used to predict strand breakage, while interlaminar strength and fracture toughness are implemented to account for strand debonding. The model successfully predicts the strength of ROS composites, captures the effect of strand size on properties, depicts heterogeneous nature of the material, and demonstrates that failure follows the “weakest-link” principle. It also indicates that thermoplastic ROS composites are superior to their thermoset (e.g. epoxy) counterparts.