An adaptive damage detection method based on differential evolutionary algorithm for beam structures
An adaptive damage detection method based on differential evolutionary algorithm for beam structures
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DOI：
10.1016/j.measurement.2021.109227
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发表时间：
2021-03
期刊：
影响因子：
5.6
通讯作者：
Naige Wang;Yongying Jiang;Y. Zhong;Liang Shao
中科院分区：
文献类型：
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作者：
Naige Wang;Yongying Jiang;Y. Zhong;Liang Shao
提出了一种基于差分进化算法的自适应奇异值分解（SVD）损伤检测方法。采用基于区间有限元的B样条小波对损伤结构进行建模。利用模态分析得到的模态振型数据构造吸引子轨迹矩阵，采用基于SVD的损伤定位方法进行损伤定位。为了适应不同的损伤情况，采用差分进化算法（DE）对SVD方法的参数进行自适应优化。通过仿真和实验验证了该方法的有效性。结果表明，该方法能准确有效地识别梁结构的损伤。
An adaptive singular value decomposition (SVD) method is proposed to detect damage based on the differential evolutionary algorithm for beam structures. B-spline wavelet on the interval finite element method is applied to model the damaged structures. The modal shape data obtained by modal analysis are used to construct attractor trajectory matrix, and SVD-based method is adopted to detect damage locations. In order to accommodate to different damage cases, differential evolutionary algorithm (DE) is used to adaptively optimize the parameters of SVD-based method. Both simulation and experiment researches are set up to verify the proposed method. The results indicate that the presented method is accurately effective to identify the damage for beam structures.