表征纤维金属层压板的非线性构成行为

IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zhe-Zhi Jiang, Jia-Lin Tsai
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引用次数: 0

摘要

本研究描述了纤维金属层压板(FML)的非线性拉伸行为。FML 由金属薄片层和纤维增强复合材料层组成,FML 构成模型包括 FML 构成材料的构成关系;然而,非线性行为通常只考虑 FML 的金属成分。在本研究中,使用单参数塑性模型对单向纤维复合材料的非线性构成关系进行了建模。金属的非线性构成法则是使用 J2 流动规则制定的。根据层压板理论,对每一层的这些关系进行求和,得到一个 FML 构成模型,然后用于非线性应力-应变曲线的数值预测。通过将其预测结果与文献中的实验结果进行比较,对模型进行了验证。此外,还研究了加入非线性纤维复合行为对模型预测的影响。结果显示,模型预测与实验结果之间的差异小于 4%。对于带角形层纤维复合材料的 FML 而言,这些包含非线性纤维复合材料行为的预测结果要比不包含这种行为的模型预测结果精确得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing nonlinear constitutive behaviors of fiber metal laminates
This study characterized the nonlinear tensile behavior of fiber metal laminates (FMLs). FMLs comprise layers of thin metallic sheets and fiber-reinforced composite layers, and a constitutive FML model includes the constitutive relationships of the FML’s constituent materials; however, nonlinear behavior is typically only considered for the metal components of an FML. In this study, a nonlinear constitutive relationship for the unidirectional fiber composites was modeled using a one-parameter plastic model. The nonlinear constitutive law for the metal was formulated using the J2 flow rule. These relationships were summed for each layer in accordance with laminated plate theory to obtain a constitutive FML model, which was then used for numerical predictions of nonlinear stress–strain curves. The model was validated by comparing its predictions with experimental results from the literature. Moreover, the effect of the inclusion of nonlinear fiber composite behavior on the model predictions was investigated. Results revealed that the difference between the model predictions and the experimental results was less than 4%. These predictions with nonlinear fiber composite behavior were substantially more accurate than those of the model without this behavior for FMLs with angle-ply fiber composites.
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
96
审稿时长
1.7 months
期刊介绍: Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation. Subject coverage: Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.
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