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Article

An Improved Static Residual Force Algorithm and Its Application in Cable Damage Identification for Cable-Stayed Bridges

1
School of Civil Engineering, Shaoxing University, Shaoxing 312000, China
2
Tongchuang Engineering Design Co., Ltd., Shaoxing 312000, China
3
School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2022, 12(6), 2945; https://doi.org/10.3390/app12062945
Submission received: 1 February 2022 / Revised: 7 March 2022 / Accepted: 8 March 2022 / Published: 14 March 2022

Abstract

For cable-stayed bridges, cables are very important components to maintain the safety of the whole bridge structure. It is well-known that change in cable force reflects the health of the cable-stayed bridge. Therefore, it is necessary to detect and quantify local damage in cables prior to the occurrence of a failure. To this end, an improved residual force algorithm independent of static load vector was proposed in this study. The proposed method mainly makes use of the particularity that only a few coefficients in the residual force and static load vectors are nonzero. By combining two different static loading modes, a new damage indicator vector was defined in the method for damage localization and quantification. Compared with existing static residual force methods, the significant advantage of the proposed algorithm is that the specific value and loading position of the static load are not required in the damage identification process. This special advantage causes this method to not require special static loading, but instead uses any load vehicle. This advantage can make the operation process of structural damage identification based on static tests easier and faster. A single tower cable-stayed bridge structure was used to verify the feasibility of the proposed method in cable damage identification. It was shown that the proposed method successfully identified cable damage, even if the value and loading point of the static load were uncertain.
Keywords: damage identification; residual force vector; static load; displacement; single tower cable-stayed bridge damage identification; residual force vector; static load; displacement; single tower cable-stayed bridge

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MDPI and ACS Style

Fang, R.; Wu, Y.; Wei, W.; Na, L.; Biao, Q.; Jiang, P.; Yang, Q. An Improved Static Residual Force Algorithm and Its Application in Cable Damage Identification for Cable-Stayed Bridges. Appl. Sci. 2022, 12, 2945. https://doi.org/10.3390/app12062945

AMA Style

Fang R, Wu Y, Wei W, Na L, Biao Q, Jiang P, Yang Q. An Improved Static Residual Force Algorithm and Its Application in Cable Damage Identification for Cable-Stayed Bridges. Applied Sciences. 2022; 12(6):2945. https://doi.org/10.3390/app12062945

Chicago/Turabian Style

Fang, Rui, Yanting Wu, Wang Wei, Li Na, Qian Biao, Ping Jiang, and Qiuwei Yang. 2022. "An Improved Static Residual Force Algorithm and Its Application in Cable Damage Identification for Cable-Stayed Bridges" Applied Sciences 12, no. 6: 2945. https://doi.org/10.3390/app12062945

APA Style

Fang, R., Wu, Y., Wei, W., Na, L., Biao, Q., Jiang, P., & Yang, Q. (2022). An Improved Static Residual Force Algorithm and Its Application in Cable Damage Identification for Cable-Stayed Bridges. Applied Sciences, 12(6), 2945. https://doi.org/10.3390/app12062945

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