OpenSeesPy融合信赖域优化算法的斜拉桥索力优化方法OA

Cable force optimization is a key step in ensuring a rational force state of cable-stayed bridge structures.To address the repeated iterations,complicated adjustment procedures,and low computational efficiency associated with cable force optimization using traditional finite element software,this paper combined Python with the OpenSeesPy open-source library to establish a finite element model of a cable-stayed bridge that accounted for the construction process.A trust-region optimization algorithm was adopted to minimize structural bending energy,and a method was proposed for automatically optimizing cable forces during construction and in the completed bridge.The effectiveness and applicability of the proposed method were verified through a case study of the Wuxuan Qianjiang Grand Bridge,the largest-span cable-stayed bridge in Guangxi.The results indicate that the optimized cable force distribution is reasonable,and that the variations in deformation and internal forces during bridge construction remain within controllable limits,thus ensuring the structural safety and stability of the bridge at all construction stages.The research results provide a new optimization-based computational technique for the design and construction of cable-stayed bridges.