A switching ICA damage identification method with consideration of nonlinear environmental temperature effects

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (24) : 125-134.

HUANG Jiezhong1,2,3，QI Hui1，LI Dongsheng1,3,4，WU Ming1

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Abstract

In the long-term health monitoring process of civil engineering structures, the influence of changing environments on the dynamic characteristics of the structure may even mask the changes in dynamic characteristics caused by damage, which renders traditional vibration-based damage identification methods ineffective. The independent component analysis (ICA) method can be used to separate the effects of environmental factors, however its effectiveness is limited by the need for highly linear correlation between data. To address this issue, this paper introduces switching temperature into the ICA method, and proposes a switching ICA damage identification method considering the influence of nonlinear environmental factors. This method combines principal component analysis (PCA) and Gaussian mixture model (GMM) to determine the temperature switching point, and uses the switching temperature to piecewise linearize the nonlinearly related frequency data; then, for the piecewise linearized frequency data, the ICA method is used to calculate the environmental source of the data and damage source; finally, based on the ICA damage source, the SPE statistic is calculated as the damage index, and early damage is detected through the X⁃bar control chart. A 7-degree-of-freedom numerical example and monitoring data of the Z24 bridge verify the effectiveness of the proposed method.

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damage identification / environmental variations / independent component analysis / principal component analysis / nonlinear correlation

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HUANG Jiezhong1, 2, 3, QI Hui1, LI Dongsheng1, 3, 4, WU Ming1. A switching ICA damage identification method with consideration of nonlinear environmental temperature effects[J]. Journal of Vibration and Shock, 2024, 43(24): 125-134

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