Key Issues in a Benchmarking Exercise for Longitudinal Tensile Failure of Unidirectional Composites

C. Breite, A. Melnikov, F. Mesquita, S. Lomov, Y. Swolfs
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Abstract

Longitudinal tensile failure of unidirectional plies is a key failure mode for laminated composites. We therefore organised a benchmarking exercise with 7 participating models, where the models were carefully compared against each other based on two virtual materials [1]. We also performed a detailed experimental validation study for 6 of the participating models, based on synchrotron computed tomography data for fibre break development combined with carefully and objectively measured input data. The present paper analyses where the discrepancies between models and experiments may have arisen from, based on the KU Leuven strength model [1]. Fig. 1 for example shows how the scatter in the experimental fibre break density evolutions is similar to the scatter in the Monte Carlo simulations. The scatter bands however do not overlap. We also fitted a Weibull distribution to the fibre break density evolution (excluding clusters of fibre breaks). Running simulations with the fitted Weibull distribution as input revealed that a good agreement between the density developments can be achieved. However, even a fitted Weibull distribution still leads to significant errors in other parameters, such as tensile strength or cluster evolution. The complete analysis of all key issues has shown that the discrepancies cannot be attributed to any single input parameter or assumption, such as the Weibull distribution, but should be attributed to a combination of unknowns that need to be explored in further studies.
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单向复合材料纵向拉伸破坏基准测试中的关键问题
单向层纵向拉伸破坏是层合复合材料的一种重要破坏模式。因此,我们组织了一个有7个参与模型的基准测试练习,其中模型基于两种虚拟材料[1]仔细地相互比较。我们还对6个参与模型进行了详细的实验验证研究,基于纤维断裂发育的同步加速器计算机断层扫描数据结合仔细客观测量的输入数据。本文基于KU Leuven强度模型[1],分析了模型与实验之间的差异可能来自何处。例如,图1显示了实验纤维断裂密度演化中的散射与蒙特卡罗模拟中的散射是如何相似的。然而,散射带并不重叠。我们还拟合了纤维断裂密度演变的威布尔分布(不包括纤维断裂簇)。用拟合的威布尔分布作为输入进行模拟表明,密度发展之间可以达到很好的一致性。然而,即使一个拟合的威布尔分布仍然会导致其他参数的显著误差,如抗拉强度或聚类演化。对所有关键问题的完整分析表明,差异不能归因于任何单一的输入参数或假设,如威布尔分布,而应归因于未知因素的组合,这些未知因素需要在进一步的研究中加以探索。
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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