Guangxi Science and Technology Program [AD25069101]; Research Foundation Ability Enhancement Project for Young and Middle Teachers in Guangxi Universities [2025KY0304]; National Natural Science Foundation of China [52178107]; National Science Foundation for Distinguished Young Scholars of Hunan Province [2024JJ2003]; Initial Science Foundation of Guilin University of Technology [GUTQDJJ 2024054]
机构署名：
本校为其他机构
院系归属：
土木工程学院
摘要：
The multi-component long-span bridges are under high-stress state and they are suffering the aging damage caused by adverse environments and loading during the full lifetime. This paper presents a machine learning framework for assessing the reliability of cable-stayed bridge systems. The support vector machine (SVM) method is adopted as a substitute for the complex structural finite element model in reliability analysis. In addition, the GA method is utilized for searching the extreme values of the constrained optimization function, which is used for calculating the time-variant reliability i...
