Modeling the mechanical properties of textile-reinforced composites with a near micro-scale approach
Modeling the mechanical properties of textile-reinforced composites with a near micro-scale approach
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DOI：
10.1016/j.compstruct.2015.09.010
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发表时间：
2016-01-01
影响因子：
6.3
通讯作者：
Cherif, Chokri
中科院分区：
文献类型：
--
作者：
Doebrich, Oliver;Gereke, Thomas;Cherif, Chokri
复合材料的性能主要取决于预埋配筋结构的力学特性。在高性能复合材料中，出于轻量化工程的目的，这些增强材料主要是由玻璃或碳等连续纤维组成的纺织品。对于结构设计，必须知道复合材料的力学数据，以确保最佳的轻量化特性。众所周知，确定这些值是一个耗时耗力的步骤。在研究领域中，当材料的结构参数发生变化，并且必须分析其对性能的影响时，力学测试是分析中最昂贵的部分。因此，对复合材料力学性能进行模拟预测的动机已经提上了几十年的议程。本文采用近微尺度分辨率的数字元方法对纺织结构进行建模，以进行配筋分析。通过收敛分析，直接利用织物模型建立了适合于虚拟力学试验的虚拟复合模型。仿真与试验结果的对比表明，所提出的方法与实际情况吻合较好，并提出了进一步推广应用的建议。(C) 2015 Elsevier Ltd.版权所有。
The performance of composite materials mainly depends on the mechanics of the embedded reinforcement structure. In high-performance composites, for the purpose of lightweight engineering, these reinforcements are mostly textiles composed of continuous fibers such as glass or carbon. For structural designing, the mechanical data of the composite material has to be known to ensure an optimal lightweight character. The determination of these values is known to be a time and cost intensive step. In the field of research, when structural parameters of the material are varied and effects on the properties have to be analyzed, the mechanical testing can be marked as the most expensive part of the analyses. Therefore, the motivation for a simulative prediction of composites mechanical properties is on the agenda for decades. In this paper, the digital element approach is used for modeling the textile structure on a near micro-scale resolution for the purpose of reinforcement analyses. Convergence analyses are carried out and the textile model is directly used to build up a virtual composite model suitable for virtual mechanical tests. The comparison of simulation and testing results shows a very good agreement of the introduced approach with the reality and suggests its further application. (C) 2015 Elsevier Ltd. All rights reserved.