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Anomaly diagnosis of stay cables based on vehicle-induced cable force sums
Highlights The theoretical relationship between the vehicle load and vehicle-induced cable force sums (VICFS) is derived through mechanical analysis and the specific expression is given for the first time. An anomaly-sensitive warning index that directly reflects the service performance of stay cables is established based on the derived theoretical relationship and the detailed calculation procedures are given in this paper. A new anomaly diagnosis method for stay cables is proposed by combining the established warning index with the X-bar control chart to solve the complex analysis problems caused by the transverse position of the vehicle on the bridge deck. A new cable force decoupling method based on local generalized extreme value (GEV) distribution is presented to eliminate temperature trends from the raw data and obtain VICFS dataset. The numerical simulations and an engineering application to an in-service cable-stayed bridge are carried out to verify the feasibility and effectiveness of the proposed method.
Abstract Stay cables are one of the most critical load-carrying components for cable-stayed bridges. Cable damage or performance degradation can affect the normal operation of bridges. Therefore, it is essential to evaluate the service performance of cables in real time to ensure bridge safety. In this paper, an anomaly diagnosis method for stay cables based on vehicle-induced cable force sums (VICFS) of cable pairs (defined as two symmetric cables upstream and downstream) is proposed. First, the theoretical relationship between the vehicle load and VICFS was derived through mechanical analysis. Second, a new anomaly-sensitive warning index was established based on the above derivation, and the anomaly diagnosis for stay cables was achieved by combining it with the X-bar control chart. Then, according to finite element simulation, the variations in VICFS in different cases were analyzed to verify the rationality of the theoretical derivation and the established warning index. Finally, an engineering application to an in-service cable-stayed bridge was carried out to validate the feasibility and effectiveness of the anomaly diagnosis method. The results show that the proposed method can accurately detect and locate damaged cables, which can be successfully applied to monitor the long-term performance of stay cables.
Anomaly diagnosis of stay cables based on vehicle-induced cable force sums
Highlights The theoretical relationship between the vehicle load and vehicle-induced cable force sums (VICFS) is derived through mechanical analysis and the specific expression is given for the first time. An anomaly-sensitive warning index that directly reflects the service performance of stay cables is established based on the derived theoretical relationship and the detailed calculation procedures are given in this paper. A new anomaly diagnosis method for stay cables is proposed by combining the established warning index with the X-bar control chart to solve the complex analysis problems caused by the transverse position of the vehicle on the bridge deck. A new cable force decoupling method based on local generalized extreme value (GEV) distribution is presented to eliminate temperature trends from the raw data and obtain VICFS dataset. The numerical simulations and an engineering application to an in-service cable-stayed bridge are carried out to verify the feasibility and effectiveness of the proposed method.
Abstract Stay cables are one of the most critical load-carrying components for cable-stayed bridges. Cable damage or performance degradation can affect the normal operation of bridges. Therefore, it is essential to evaluate the service performance of cables in real time to ensure bridge safety. In this paper, an anomaly diagnosis method for stay cables based on vehicle-induced cable force sums (VICFS) of cable pairs (defined as two symmetric cables upstream and downstream) is proposed. First, the theoretical relationship between the vehicle load and VICFS was derived through mechanical analysis. Second, a new anomaly-sensitive warning index was established based on the above derivation, and the anomaly diagnosis for stay cables was achieved by combining it with the X-bar control chart. Then, according to finite element simulation, the variations in VICFS in different cases were analyzed to verify the rationality of the theoretical derivation and the established warning index. Finally, an engineering application to an in-service cable-stayed bridge was carried out to validate the feasibility and effectiveness of the anomaly diagnosis method. The results show that the proposed method can accurately detect and locate damaged cables, which can be successfully applied to monitor the long-term performance of stay cables.
Anomaly diagnosis of stay cables based on vehicle-induced cable force sums
Li, De-Long (author) / Yang, Dong-Hui (author) / Yi, Ting-Hua (author) / Zhang, Song-Han (author) / Li, Wen-Jie (author) / Li, Chong (author)
Engineering Structures ; 289
2023-04-26
Article (Journal)
Electronic Resource
English
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