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用于研究非卷曲玻璃纤维复合材料在疲劳载荷下的X射线计算机断层扫描和实时应变映射的互补延时数据集。

Complementary time-lapse datasets of x-ray computed tomography and real-time strain mapping for an study of non-crimp glass fibre composites under fatigue loading.

作者信息

Prajapati Anuj, Morse Stuart, Chirazi Ali, Burnett Timothy, Withers Philip J

机构信息

Department of Materials, Henry Royce Institute for Advanced Materials, The University of Manchester, Manchester M13 9PL, UK.

Department of Materials, The University of Manchester, Manchester M13 9PL, UK.

出版信息

Data Brief. 2021 May 18;37:107157. doi: 10.1016/j.dib.2021.107157. eCollection 2021 Aug.

Abstract

Data published in this paper corresponds to a time-lapse experiment aimed at analyzing the tension-tension fatigue damage in non-crimp glass-epoxy composites by multi-scale x-ray computed tomography (XCT) of the damage features and their timeline. This is then correlated with the strain fields obtained through digital image correlation (DIC). The XCT - DIC datasets by is acquired by interrupting mechanical fatigue tests at three time-steps, after the material has undergone 0 cycles, 70,000 cycles, 80,000 cycles, and 120,000 cycles. This is one of the first multi-modally correlated datasets available for these types of non-crimp glass fibre composites, which explore the structure-property relationship in a time-dependent behavior. This dataset can be used to explore glass-fibre composites microstructure under a progressive damage scheme and can be used to test and train a plethora of image processing and analysis techniques. This dataset can also be used as an attempt to model the fatigue behavior of quasi-unidirectional non-crimp fibre composites by image-based simulations.

摘要

本文发表的数据对应于一个延时实验,该实验旨在通过对损伤特征及其时间线进行多尺度X射线计算机断层扫描(XCT)来分析非卷曲玻璃纤维增强环氧树脂复合材料中的拉伸-拉伸疲劳损伤。然后将其与通过数字图像相关(DIC)获得的应变场相关联。XCT-DIC数据集是在材料分别经历0次循环、70000次循环、80000次循环和120000次循环后,在三个时间步中断机械疲劳试验而获取的。这是首批可用于这类非卷曲玻璃纤维复合材料的多模态相关数据集之一,该数据集探索了随时间变化行为中的结构-性能关系。该数据集可用于在渐进损伤方案下探索玻璃纤维复合材料的微观结构,还可用于测试和训练大量图像处理和分析技术。该数据集也可作为通过基于图像的模拟对准单向非卷曲纤维复合材料疲劳行为进行建模的一次尝试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5985/8167186/1d56dccb429c/gr1.jpg

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