Damage imaging using multipath-scattered Lamb waves under a sparse reconstruction framework

IF 5.7 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Zhongjie Zhang, Liang Zeng, Nan Zhang
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引用次数: 0

Abstract

This paper presents a damage sparse imaging method using multipath-scattered Lamb waves. It leverages a large number of echoes and reverberations in the recorded signal that may be usually ignored in conventional methods. First, reflections of Lamb waves at free edges are viewed as waves transmitted from a virtual transducer which is located at the mirror point of the actual one. On this basis, an optimized transducers-layout strategy is proposed based on the multipath propagation model of the Lamb wave. Benefiting from that, the direct damage-scattered wave and several waves scattered by both the damage and edges could be separately identified in the time domain, and further, each wave could be matched with a sensing path (either actual or virtual) in the expanded sensor network. Subsequently, a dictionary is constructed from the Lamb wave propagation and scattering model. By solving the sparse reconstruction problem, the pixel value of each point in the region of interest is obtained, and the whole area can be finally visualized. The proposed method is validated using experiments conducted on an aluminum plate with simulated damages. Results show that the damages can be correctly detected and accurately localized with only a single transmitter–receiver pair.
稀疏重建框架下多径散射Lamb波损伤成像
提出了一种基于多径散射兰姆波的损伤稀疏成像方法。它利用了记录信号中大量的回声和混响,而传统方法通常会忽略这些回声和混响。首先,兰姆波在自由边缘的反射被看作是从位于实际换能器镜像点的虚拟换能器传输的波。在此基础上,提出了一种基于Lamb波多径传播模型的传感器优化布局策略。利用该方法,可以在时域上分别识别出直接损伤散射波和由损伤和边缘同时散射的若干波,并在扩展的传感器网络中匹配出每个波的感知路径(实际或虚拟)。然后,根据Lamb波的传播和散射模型构造了一个字典。通过求解稀疏重建问题,得到感兴趣区域内各点的像素值,最终实现整个区域的可视化。在铝板上进行了损伤模拟实验,验证了该方法的有效性。结果表明,仅用单对收发器就可以准确地检测和定位损伤。
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来源期刊
CiteScore
12.80
自引率
12.10%
发文量
181
审稿时长
4.8 months
期刊介绍: Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.
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