长沙理工大学学报（自然科学版）2024，Vol.21Issue(6)：96-103,8.DOI:10.19951/j.cnki.1672-9331.20230207002
基于小波包优化的板件结构损伤概率成像研究
Research on damage probability imaging based on wavelet packet optimization in plate structures
摘要
Abstract
[Purposes]This paper aims to explore the influence of noise generated by experimental environments and experimental equipment on the positioning accuracy of defect imaging by Lamb wave signal.[Methods]In order to optimize the sensitivity of the signal difference coefficient to the damage,the Lamb wave signal sampled in the plate was decomposed and reconstructed by a wavelet packet to get the reconstructed Lamb wave signal in the excitation frequency range by combining simulation and experiment.[Findings]After the Lamb wave signal is reconstructed,the probability value of the real damage location of the plate is higher,and the range with a high probability value is closer to the damage location.[Conclusions]After the Lamb wave signal is decomposed and reconstructed by a wavelet packet,compared with the damage probability imaging of the original signal,it is found that damage probability imaging considering reconstructed signals can effectively locate defects in the plate,with improved positioning accuracy and contrast ratio of imaging.关键词
Lamb波/噪声/小波包分解/信号差异系数/损伤概率成像Key words
Lamb wave/noise/wavelet packet decomposition/signal difference coefficient/damage probability imaging分类
交通工程引用本文复制引用
向昊南,徐晓强,胡宏伟,吕铎..基于小波包优化的板件结构损伤概率成像研究[J].长沙理工大学学报（自然科学版）,2024,21(6):96-103,8.基金项目
湖南省重点研发计划项目(2022GK2058) Project(2022GK2058)supported by Hunan Provincial Key R&D Program （2022GK2058）
