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Failure detection of carbon fiber woven composite laminates using finite element method and acoustic emission

  • F. Yang
  • , J. J. He
  • , H. X. Wang
  • , X. J. Sun
  • Beihang University
  • Beijing Institute of Space Science and Technology Information

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Carbonfiber woven composites are one of the most widely used materials in engineering. Composites failure has the characteristics of mixed damage modes and multiple damage patterns, which affect the service reliability of the structure and make the damage prediction a practical challenge. In this paper, an acoustic emission (AE) energy approach is established for damage energy prediction under three typical damage modes. A finite ele ment model is established using ABAQUS to simulate the damage process under quasi-static indentation (QSI) of the plain-woven carbon fiber composite laminates. This study analyzes the mechanical behavior impact of the woven composites and obtains the force-displacement curve to validate the finite element method (FEM). The power function relationship between the damage energy of AE and FEM is validated under matrix cracking, fiber breakage, and delamination damage mode. The result indicates that the finite element model yields a reli able prediction of the damage energy under different damage modes.

源语言英语
主期刊名Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
编辑Ruqiang Yan, Jing Lin
出版商CRC Press/Balkema
176-185
页数10
ISBN(印刷版)9781032746302
DOI
出版状态已出版 - 2025
活动1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023 - Hefei, 中国
期限: 21 9月 202323 9月 2023

出版系列

姓名Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
2

会议

会议1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
国家/地区中国
Hefei
时期21/09/2323/09/23

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