版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Tianjin Univ State Key Lab Precis Measurement Technol & Instrum Tianjin 300072 Peoples R China
出 版 物:《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》 (IEEE Trans. Instrum. Meas.)
年 卷 期:2025年第74卷
核心收录:
学科分类:0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术]
基 金:National Key Research and Development Program of China [2022YFB3404705] Natural Science Foundation of Tianjin [22JCZDJC00140] Guangxi Key Laboratory of Automatic Detecting Technology and Instruments [YQ23209]
主 题:Dispersion Atmospheric modeling Transducers Skin Sensors Acoustics Signal processing algorithms Sandwich structures Propagation Mathematical models Air-coupled ultrasound dispersion compensation guided wave honeycomb sandwich structure (HSS) lamb wave
摘 要:During the operational lifespan of the honeycomb sandwich structure (HSS), it is necessary to monitor the structural integrity to ensure its safety. Air-coupled ultrasonic guided wave technology is an efficient and convenient noncontact detection method. Due to the large acoustic impedance difference between the air and the structure and the dispersion characteristics of guided wave in the HSS, the air-coupled signals lead to significant energy loss and are easily stacked, posing challenges for the detection of debonding defects. To tackle this challenge, this study investigates the dispersion characteristics and propagation properties of guided waves in the HSS, and the effect of debonding defects on guided wave signals is researched by finite element models. The proposed linear mapping dispersion compensation algorithm refactors the linearization dispersion relationship in the frequency domain of air-coupled guided wave signals. It effectively reconstructs the stacked signal and separates the direct wave packet. Damage probability imaging is realized by using the amplitude of the direct wave to construct the damage index (DI). The imaging evaluation indexes of intersection over union (IoU) and recall rate for debonding defects of two sizes are compared, which demonstrates an improvement in defect detection accuracy. The proposed method has strong potential for real-time monitoring applications.