引入去噪因子的薄板结构SH波损伤成像研究  

Research on damage imaging based on sh wave in thin-plate structures with denoising factor

作　　者：营笑 褚国安 刘砚涛[3] 李海波[3] 王凯峰 刘洋[1,4] Ying Xiao;Chu Guoan;Liu Yantao;Li Haibo;Wang Kaifeng;Liu Yang(State Key Laboratory of Precision Measurement Technology and Instruments,Tianjin University,Tianjin 300072,China;School of Mechanical Engineering,Tianjin University,Tianjin 300354,China;Beijing Institute of Structure and Environment Engineering,Beijing 100076,China;International Institute for Innovative Design and Intelligent Manufacturing of Tianjin University-Zhejiang,Shaoxing 312000,China)

机构地区：[1]天津大学精密测试技术及仪器全国重点实验室,天津300072 [2]天津大学机械工程学院,天津300354 [3]北京强度环境研究所,北京100076 [4]天津大学浙江国际创新设计与智造研究院,绍兴312000

出　　处：《仪器仪表学报》2024年第8期297-306,共10页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(12474459);浙江省自然科学基金(LY23E010001)项目资助。

摘　　要：提出了一种引入去噪因子的薄板结构水平剪切波(SH波)损伤概率分布成像方法,旨在提高复杂环境下的损伤检测精度。针对薄板结构导波健康监测中诸如薄板变形、环境干扰、系统误差、人员操作等因素造成的干扰,本方法通过引入去噪因子来降低噪声信号的影响,并基于局部峰值设计自适应阈值进行损伤分离,从而显著提升成像效果。分析了SH波在薄板结构中的传播特性,并通过钢板实验进行了验证。结果表明,与传统损伤概率分布成像方法相比,本方法能够更准确地进行损伤定位。此外,本研究还探讨了引入去噪因子的损伤概率分布成像在降低噪声影响、多损伤分离检测的优势,为基于SH波的薄板结构损伤检测提供了理论与工程依据。This study proposes a method for damage probability distribution imaging of shear horizontal(SH)waves in thin plate structures by introducing a denoising factor,aiming to improve the accuracy of damage detection in complex environments.Addressing factors such as thin plate deformation,environmental interference,system errors,and human operation in guided wave structural health monitoring,this method reduces the interference of noise signals by introducing a denoising factor.To mitigate the impact of these noise signals,this method introduces a denoising factor and employs an adaptive threshold based on local peak values to isolate damage,thereby significantly enhancing imaging effectiveness.The propagation characteristics of SH-waves in thin plate structures are analyzed,and experiments are conducted on steel plates for validation.Results demonstrate that compared to traditional RAPID imaging methods,this approach enables more accurate damage localization.Furthermore,the study explores the advantages of denoising factor-introduced tomography imaging in reducing noise influence and detecting multiple damages,providing theoretical and engineering support for SH wave based thin plate structure damage detection.

关 键 词：结构健康监测 SH波 损伤成像 去噪 磁致伸缩传感器 

分 类 号：TH878[机械工程—仪器科学与技术] TB552[机械工程—精密仪器及机械]