复合材料科学与工程 ›› 2025, Vol. 0 ›› Issue (11): 30-39.DOI: 10.19936/j.cnki.2096-8000.20251128.004

• 基础与力学性能研究 • 上一篇    下一篇

碳纤维板材分层损伤定位中的线性调频兰姆波频响特性研究

巫轶伦, 冯搏*   

  1. 华中科技大学 机械科学与工程学院,武汉 430074
  • 收稿日期:2024-09-18 出版日期:2025-11-28 发布日期:2025-12-24
  • 通讯作者: 冯搏(1990—),男,博士,副教授,硕士生导师,研究方向为电磁无损检测、超声无损检测、智能传感技术与仪器、数字信号处理算法等,bofeng@hust.edu.cn。
  • 作者简介:巫轶伦(1999—),男,硕士,研究方向为复合材料超声导波检测。
  • 基金资助:
    国家自然科学基金青年基金项目(52105551)

Study on frequency response of chirp-excited Lamb wave in the localization of delamination damage in CFRP plate

WU Yilun, FENG Bo*   

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2024-09-18 Online:2025-11-28 Published:2025-12-24

摘要: 目前兰姆波检测方法主要采用窄带信号作为激励信号以抑制频散,从而方便后续的信号解读。在测量过程中,需要选择适当的中心频率以提高信噪比。然而,窄带信号的最佳检测频率通常需要多次重复实验才能确定。提出了一种利用线性调频信号激励的碳纤维增强复合材料板分层缺陷定位方法。线性调频信号覆盖的频率范围宽,一次检测可以获得更多信息,通过反卷积可提取一系列频率的窄带响应,为缺陷定位选择最佳测试频率。实验结果表明分解后的信号与直接窄带激励获得的信号基本吻合,采用改进的椭圆成像算法进行定位,响应幅值较大的频率对应的定位效果较好,利用线性调频信号激励兰姆波可以快速选取最佳测试频率以提高定位精度。

关键词: 兰姆波, 碳纤维增强复合材料, 分层缺陷, 线性调频信号, 缺陷定位

Abstract: Most current Lamb wave testing methods use a windowed narrow-band signal as the excitation signal to suppress the dispersion and facilitate the subsequent signal interpretation. A suitable center frequency should be selected to improve the signal-to-noise ratio during the measurement. However, the optimal detection frequency of the narrow-band signal often needs to be measured by several repeated experiments. A method for detecting delamination defects in carbon fiber reinforced composite plate is proposed, using a chirp signal as the excitation, which contains a broad frequency range, making more information contained in a single inspection. The narrow-band response of a series of frequencies is extracted using inverse convolution, and the optimal test frequency is selected for defect localization. It is verified by finite element simulation and experiment that the decomposed signal and the signal obtained from the direct excitation of the narrow-band signal are basically in agreement. The improved elliptical imaging algorithm is utilized for localization, and the effectiveness of the proposed method is verified experimentally.

Key words: Lamb waves, carbon fiber reinforced composites, delamination defects, chirp signal, defect localization

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