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Frame structure damage identification based on wavelet - artificial immune algorithm

机译:基于小波 - 人工免疫算法的框架结构损伤识别

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Structural damage detection and diagnosis is a very important factor of the structural safety. In order to improve the application of artificial intelligence algorithms for structural damage detection, we try to wavelet analysis and artificial immune algorithm to combine the analysis by finite element and Matlab programming. The result of the simulation and verification by analyzing simple frame structure suggest that this approach combines the advantages of wavelet analysis and artificial immune algorithm: quickly and accurately identifying the damage location and calculating the extent of the damage. This method can be used in engineering practice of structural damage detection to improve the efficiency of structural damage identification.
机译:结构损伤检测和诊断是结构安全的一个非常重要的因素。为了改善人工智能算法的结构损伤检测的应用,我们尝试小波分析和人工免疫算法来结合有限元和MATLAB编程的分析。通过分析简单框架结构的模拟和验证的结果表明,这种方法结合了小波分析和人工免疫算法的优点:快速准确地识别损坏位置并计算损坏程度。该方法可用于结构损伤检测的工程实践,提高结构损伤识别效率。

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