两阶段框架结构非线性损伤检测
Two-stage nonlinear damage detection study for frame structures

在改进协同PSO算法的基础上，结合分形理论，提出一种两阶段剪切型框架结构非线性损伤识别方法. 第一阶段利用Gabor小波变换得到结构各层层间位移的时频特性，并通过盒计数方法计算各层层间位移时频特性的分形维数，初步定位非线性损伤；第二阶段利用改进协同PSO算法精确定位损伤位置和识别模型相关参数. 最后通过一栋五层Bouc-Wen框架模型验证了所提方法的有效性，并探讨了容噪性及与其他方法性能的差异. 研究表明，所提方法能较好地用于非线性损伤识别，具有良好的容噪性、鲁棒性.
This paper presents a new two-stage nonlinear structural damage detection based on revised co-evolution PSO (RMPSCO) and fractal theory. More specifically，in the first stage，Gabor wavelet transform is used to obtain the time-frequency feature (TFF) of the displacement response at the measured storey，and then the box-counting method is utilized to acquire the fractal dimension (FD) of the TFF for the sake of roughly locating the structural nonlinear damage. In the second stage，RMPSCO is used to precisely locate damage and identify the related model parameters. Finally，a numerical example with Bouc-Wen model is presented to verify the effectiveness of the proposed method. Meanwhile the noise tolerance and performance are discussed with other methods. The results show that the novel two-stage method is able to effectively and quickly identify the nonlinear damage location and quantify extent as well as the relevant physical parameters，furthermore，the proposed method has excellent noise tolerance and robustness