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Guided Wave and Probability Based Diagnostic Imaging for Detection of Multiple Welding Damages in Welded Tubular Steel Structures

机译:基于导波和概率的诊断成像,用于检测管状钢管结构中的多个焊接损伤

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Propagation of guided waves (GWs) in a welded tubular steel structure (WTSS)with rectangular cross-section is investigated using experimental analysis and finiteelement method (FEM) simulation with the purpose of identifying multiple weldingdamages on it. A sensor network made up of sixteen piezoelectric wafers isestablished on the WTSS, generating and collecting GWs. With the aid of a seriesof signal processing, a time-domain feature, termed ‘time of maximal difference'(ToMD) is extracted from each captured GW signal. Base on the ToMDs, a novelconcept ‘damage presence probability' (DPP) is consequently defined. Finally, aprobability-based damage imaging approach and a two-level image fusion schemeare adopted to predict presence and location of two different damages in weldingzones of the WTSS as validation. Both simulation and experimental resultsdemonstrate the effectiveness of the developed approach for identifying multipledamages in similar structures.
机译:导波(GWs)在焊接管状钢结构(WTSS)中的传播 使用实验分析和有限元法研究了具有矩形横截面的 元素方法(FEM)模拟,旨在识别多次焊接 损害赔偿。由16个压电晶片组成的传感器网络是 在WTSS上建立,生成和收集GW。借助一系列 信号处理的时域特征,称为“最大差异时间” 从每个捕获的GW信号中提取(ToMD)。基于ToMD,一部新颖的小说 因此定义了“损坏存在概率”(DPP)概念。最后, 基于概率的损伤成像方法和两级图像融合方案 用于预测焊接中两种不同损伤的存在和位置 WTSS区域作为验证。模拟和实验结果 演示开发的方法用于识别多个对象的有效性 类似结构的损坏。

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