Ultimate resistance and fatigue performance predictions of woven-based fiber reinforced polymers using a computational homogenization method

IF 3.5 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal of Structural Integrity Pub Date : 2024-07-11 DOI:10.1108/ijsi-03-2024-0049
Junqiang Li, Haohui Xin, Youyou Zhang, Qinglin Gao, Hengyu Zhang
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Abstract

PurposeIn order to achieve the desired macroscopic mechanical properties of woven fiber reinforced polymer (FRP) materials, it is necessary to conduct a detailed analysis of their microscopic load-bearing capacity.Design/methodology/approachUtilizing the representative volume element (RVE) model, this study delves into how the material composition influences mechanical parameters and failure processes.FindingsTo study the ultimate strength of the materials, this study considers the damage situation in various parts and analyzes the stress-strain curves under uniaxial and multiaxial loading conditions. Furthermore, the study investigates the degradation of macroscopic mechanical properties of fiber and resin layers due to fatigue induced performance degradation. Additionally, the research explores the impact of fatigue damage on key material properties such as the elastic modulus, shear modulus and Poisson's ratio.Originality/valueBy studying the load-bearing mechanisms at different scales, a direct correlation is established between the macroscopic mechanical behavior of the material and the microstructure of woven FRP materials. This comprehensive analysis ultimately elucidates the material's mechanical response under conditions of fatigue damage.
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使用计算均质化方法预测编织基纤维增强聚合物的极限电阻和疲劳性能
目的为了使编织纤维增强聚合物(FRP)材料达到理想的宏观机械性能,有必要对其微观承载能力进行详细分析。研究结果为了研究材料的极限强度,本研究考虑了不同部位的损伤情况,并分析了单轴和多轴加载条件下的应力-应变曲线。此外,研究还探讨了疲劳引起的性能退化导致的纤维层和树脂层宏观机械性能的下降。此外,研究还探讨了疲劳损伤对弹性模量、剪切模量和泊松比等关键材料性能的影响。原创性/价值通过研究不同尺度的承载机制,在材料的宏观机械行为和玻璃钢编织材料的微观结构之间建立了直接的关联。这种综合分析最终阐明了材料在疲劳损伤条件下的机械响应。
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来源期刊
International Journal of Structural Integrity
International Journal of Structural Integrity ENGINEERING, MULTIDISCIPLINARY-
CiteScore
5.40
自引率
14.80%
发文量
42
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