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Displacement model error-based method for symmetrical cable-stayed bridge performance warning after eliminating variable load effects

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Abstract

This paper proposes a displacement model error-based performance warning method to detect structural anomalies in bridges. A displacement data pre-processing method based on multi-rate fusion method is proposed to modify displacement data with the same position acceleration data. A correlation model of the lateral wind speed and displacement was established to eliminate wind load effects. Then principal component analysis was used to eliminate traffic load effects. A new combined Mahalanobis-Euclidean warning index and Shewhart-CUSUM control chart are proposed. Moreover, a threshold setting method for the control chart based on the kernel density estimation technique is proposed. Three different thresholds are proposed to consider the effects of temperature, humidity, snow, rime, and icing. After the bridge warning is realized, the location index is derived from contribution analysis to indicate the location of bridge performance degradation. The results show that the proposed new warning index improves the warning rate compared with that of the two traditional warning indexes. When continuous small and medium shifts occur, the traditional control chart has a false-negative alarm, while the new combined Shewhart-CUSUM control chart can accurately realize the warning. The results of monitoring data analysis of a symmetric long-span cable-stayed bridge show that correlation modeling and principal component analysis can effectively eliminate wind and traffic effects, and the proposed new performance warning method can improve the warning rate and simultaneously monitor large shifts and small shifts, to accurately detect and locate the potential performance degradation points on a bridge.

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Acknowledgements

This research work was jointly supported by the National Natural Science Foundation of China (Grant nos. 51978128, 52078102) and the LiaoNing Revitalization Talents Program (Grant no. XLYC1802035).

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  1. School of Civil Engineering, Dalian University of Technology, Dalian, 116023, China

    Yan Wang, Dong-Hui Yang & Ting-Hua Yi

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  1. Yan Wang
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Wang, Y., Yang, DH. & Yi, TH. Displacement model error-based method for symmetrical cable-stayed bridge performance warning after eliminating variable load effects. J Civil Struct Health Monit 12, 81–99 (2022). https://doi.org/10.1007/s13349-021-00529-1

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