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Structural damage monitoring for metallic panels based on acoustic emission and adaptive improvement variational mode decomposition–wavelet packet transform
Structural Health Monitoring ( IF 6.6 ) Pub Date : 2021-04-22 , DOI: 10.1177/14759217211008969
Yang Li 1 , Feiyun Xu 1
Affiliation  

The metallic panel acoustic emission signal with strong non-stationary properties is normally composed of multiple components (e.g. impulses, background noise, and other external signal), where impulses relevant to metallic panel are easily contaminated by background noise and other external signal, making it difficult to excavate the inherent acoustic emission signal features. To address this issue and achieve the damage monitoring of metallic panels based on acoustic emission technology, a new scheme based on adaptive improvement variational mode decomposition–wavelet packet transform is developed for extracting acoustic emission signal features of metallic panels. Specifically, three different dimensions of Q235B steel plates are utilized to collect acoustic emission signal during three-point bending experiments, to evaluate the effectiveness of the proposed approach and to investigate the influence of size effect on the acoustic emission signal characteristics. In addition, the transient process and centroid frequency distribution of each damage stage are investigated, and the internal structure variations in the bending damage process are detected by scanning electron microscopy inspection. Moreover, the generalization of the proposed damage monitoring method is evaluated for plate-like structures that have complex geometric features, such as welds. The results demonstrate the effectiveness of the proposed method for acoustic emission–based structural health monitoring of metallic plate-like structures.



中文翻译:

基于声发射和自适应改进变模分解-小波包变换的金属面板结构损伤监测

具有非平稳特性的金属面板声发射信号通常由多个分量(例如,脉冲,背景噪声和其他外部信号)组成,其中与金属面板相关的脉冲很容易被背景噪声和其他外部信号污染,从而使其难以挖掘固有的声发射信号特征。为了解决这一问题并实现基于声发射技术的金属板损伤监测,提出了一种基于自适应改进的变分分解-小波包变换的新方案,用于提取金属板的声发射信号特征。具体而言,在三点弯曲实验过程中,使用了三种不同尺寸的Q235B钢板来收集声发射信号,评估所提出方法的有效性,并研究尺寸效应对声发射信号特性的影响。此外,研究了每个损伤阶段的瞬态过程和质心频率分布,并通过扫描电子显微镜检查来检测弯曲损伤过程中的内部结构变化。此外,针对具有复杂几何特征(如焊缝)的板状结构,评估了所提出的损伤监测方法的一般性。结果证明了该方法对基于声发射的金属板状结构的结构健康监测的有效性。研究了每个损伤阶段的瞬态过程和质心频率分布,并通过扫描电镜观察了弯曲损伤过程的内部结构变化。此外,针对具有复杂几何特征(如焊缝)的板状结构,评估了所提出的损伤监测方法的一般性。结果证明了该方法对基于声发射的金属板状结构的结构健康监测的有效性。研究了每个损伤阶段的瞬态过程和质心频率分布,并通过扫描电镜观察了弯曲损伤过程的内部结构变化。此外,针对具有复杂几何特征(如焊缝)的板状结构,评估了所提出的损伤监测方法的一般性。结果证明了该方法对基于声发射的金属板状结构的结构健康监测的有效性。对于具有复杂几何特征的板状结构(例如焊缝),评估了所提出的损伤监测方法的一般性。结果证明了该方法对基于声发射的金属板状结构的结构健康监测的有效性。对于具有复杂几何特征的板状结构(例如焊缝),评估了所提出的损伤监测方法的一般性。结果证明了该方法对基于声发射的金属板状结构的结构健康监测的有效性。

更新日期:2021-04-23
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