| Citation: | DUAN Jiahong, LUO Tian, YIN Weitao, ZHANG Yang, LIAO Luoheng, CHEN Zhiyu, ZHAO Canhui. Research on Modular Functionality Recovery Functions for Cable-Stayed Bridges[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250204 |
To quantify the functionality recovery weighting coefficient in the seismic resilience assessment of cable-stayed bridges and avoid the subjectivity relying on experience or expert questionnaires, a seismic resilience assessment method based on a modular functionality recovery function was proposed. First, a Pair Copula hierarchical model was employed to divide a cable-stayed bridge into three levels, i.e., components, subsystems, and the system, and the seismic fragility of each level was calculated. Second, based on the probability ratio of each subsystem under different damage states, probability weighting was performed to construct a quantitative model of the functionality recovery weighting coefficient. Furthermore, a modular functionality recovery function was established by comprehensively considering functionality recovery, repair time, and repair path. Then, a system-level functionality recovery function was formed by integrating the repair sequence of subsystems. Finally, a seismic resilience assessment procedure for cable-stayed bridges was established, and a seismic resilience assessment was conducted taking a cable-stayed bridge as an example. The results indicate that the functionality recovery weighting coefficient varies with the ground motion intensity and is closely related to the damage degree of each subsystem. If a constant weighting coefficient is adopted, the recovery contribution of the bearing subsystem is underestimated by approximately 50%. The seismic responses of the components of cable-stayed bridges have strong correlations; if the components are assumed to be completely independent, the calculation error of the system fragility can reach 28%–53.3%. Within the ground motion intensity range specified by codes, if the repair sequence of subsystems is neglected, the system resilience index is underestimated by approximately 9%.
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