Fatigue Damage Assessment and Lifetime Prediction of Short Fiber Reinforced Polymer Composites—A Review

IF 3 Q2 MATERIALS SCIENCE, COMPOSITES
Alexey Bogdanov, Sergey V. Panin, P. V. Kosmachev
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引用次数: 0

Abstract

This paper reviews the findings in the area of fatigue damage assessment and lifetime prediction of short fiber reinforced polymer composites (SFRPs) under cyclic loading. It is shown that the direct methods of microstructure/damage inspection are the most sensitive and informative, while micro-computed tomography (μ-CT) is more laborious and possesses limitations in sample dimensions. Although the sensitivity of the indirect methods can vary, the most common one is based on stiffness reduction. It is shown that developing models of fatigue processes is impossible without assessing the degree of damage. The latter can be determined by stiffness reduction, the development of creep, or energy dissipation. Since fatigue mechanisms can differ, the most complete information can be obtained by combining these methods. The prediction results for fatigue life models based on plastic strain development showed the greatest agreement with the experimental results in comparison with other prediction models. In addition, some tasks are highlighted as the priority directions for the development of SFRPs and non-destructive testing (NDT) methods for their monitoring under fatigue.
短纤维增强聚合物复合材料的疲劳损伤评估和寿命预测--综述
本文回顾了短纤维增强聚合物复合材料(SFRP)在循环加载下的疲劳损伤评估和寿命预测领域的研究成果。研究表明,微观结构/损伤检测的直接方法最为灵敏且信息量最大,而微观计算机断层扫描(μ-CT)则较为费力,且受样品尺寸的限制。虽然间接方法的灵敏度各不相同,但最常用的是基于刚度降低的方法。研究表明,如果不评估损伤程度,就无法建立疲劳过程模型。后者可以通过刚度降低、蠕变发展或能量耗散来确定。由于疲劳机制可能不同,因此可以通过结合这些方法获得最完整的信息。与其他预测模型相比,基于塑性应变发展的疲劳寿命模型的预测结果与实验结果的一致性最高。此外,还强调了 SFRP 及其疲劳监测无损检测(NDT)方法的优先发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Composites Science
Journal of Composites Science MATERIALS SCIENCE, COMPOSITES-
CiteScore
5.00
自引率
9.10%
发文量
328
审稿时长
11 weeks
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