Department of Civil Engineering, Changsha University of Science & Technology, Changsha, Hunan, China.
Department of Civil Engineering, Hunan City University, Yiyang, Hunan, China.
PLoS One. 2023 Aug 28;18(8):e0290265. doi: 10.1371/journal.pone.0290265. eCollection 2023.
Spatial damage identification is of great significance in mechanical, aerospace, and civil engineering. In this study, a data coupling method based on continuous wavelet transform (CWT) is proposed to identify the spatial damage location of beam-type structures. The singularity of the wavelet coefficient can be used to identify the signal singularity, and data coupling method calculates the spatial location of the damage. Numerical simulations and experimental analyses of different type of beams with transfixion damage are carried out to evaluate the accuracy of the method. The results show that the wavelet based data coupling method (W-DCM) can identify the minimum 4.9% damage severity of fixed beam and continuous beam, and can also identify the damage of non-free end of cantilever beam. However, the 9.7% damage severity of the free end of the cantilever beam cannot be identified. It is also found that the W-DCM can effectively circumvent the problem of wavelet coefficients edge effect. This method and wavelet singularity are used to provide a solution to the problem of structural edge damage identification.
空间损伤识别在机械、航空航天和土木工程领域具有重要意义。本研究提出了一种基于连续小波变换（CWT）的数据耦合方法，用于识别梁式结构的空间损伤位置。小波系数的奇异性可用于识别信号奇异性，而数据耦合方法则计算损伤的空间位置。对具有贯穿损伤的不同类型梁进行了数值模拟和实验分析，以评估该方法的准确性。结果表明，基于小波的数据耦合方法（W-DCM）可以识别固定梁和连续梁的最小 4.9%损伤程度，也可以识别悬臂梁非自由端的损伤。然而，无法识别悬臂梁自由端的 9.7%损伤程度。还发现，W-DCM 可以有效地解决小波系数边缘效应的问题。该方法和小波奇异性为结构边缘损伤识别问题提供了一种解决方案。
