环境激励下一种基于免疫机制的结构损伤诊断方法

An immune mechanism based diagnosis method of structural damage under ambient excitation

结构状况发生改变时,结构的振动特性将发生变化。免疫算法能有效检测出振动特性的变化。本文将环境激励下的结构响应重构相空间,对其进行奇异值分解后,选择适当个数的奇异值构造特征参数集合,应用反向选择算法进行异常值检测,以ASCE学会提出的基准结构为对象进行研究,讨论了不同个数的特征参数对检测结果的影响。分析表明,该算法能有效地判断结构状况的变化。

The performance of structural vibration will vary with the change of the structural condition. Therefore the variation of vibration signals is helpful to detect the early system is introduced to detect the damage damage to the structure. In this paper, an artificial to a structure. First the phase space is reconstructed by using vibration signals of the structure excited by ambient load. Then singular values of phase space are calculated by singular value decomposition technique. Finally, the negative selection algorithm is implemented to detect the abnormality with the feature sets composed of singular values. The question that how many features are adequate for detection is also discussed. For demonstration, a numerical study on health monitoring of the ASCE benchmark model is performed. The results show that the health condition of the structure can be accurately monitored by the proposed method.