Dataset for surface and internal damage after impact on CFRP laminates

被引:4
作者
Hasebe, Saki [1 ]
Higuchi, Ryo [1 ]
Yokozeki, Tomohiro [1 ]
Takeda, Shin-ichi [2 ]
机构
[1] Univ Tokyo, Dept Aeronaut & Astronaut, 7-3-1 Hongo,Bunkyo ku, Tokyo 1138656, Japan
[2] Japan Aerosp Explorat Agcy JAXA, Aeronaut Technol Directorate, 6-13-1 Osawa, Mitaka, Tokyo 1810015, Japan
关键词
BVID; Machine learning; Thermoset CFRP; Non-destructive testing;
D O I
10.1016/j.dib.2022.108462
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Various foreign objects can collide with CFRP structures, such as CFRP aircraft. Once something impacts with CFRP laminates, both surface damage and internal damage can occur. Even if the external damage is such invisible as called barely visible impact damage, there are matrix cracks or delamination that are the main cause of compressive strength reduction, so it is difficult to find the relationship between external and internal damage on CFRP laminates. This dataset is prepared for predicting impact information only from sur2022). It includes three data, surface damage image (png), surface depth contour image(png), and internal damage image after ultrasound C-scanning (jpg) after low-velocity impact testing under various impact conditions. The data are helpful for researchers and engineers who deal with the impact behavior of CFRP or data science. (c) 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
引用
收藏
页数:11
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