基于改进粒子群算法的斜拉桥成桥索力优化研究

Research on bridge force optimization of cable-stayed bridge based on improved particle swarm algorithm

针对斜拉桥成桥索力优化这一难题,以某双塔双索面叠合梁斜拉桥为工程背景,建立该桥的优化模型,采用最小弯曲能量法和改进后的粒子群算法相结合的方式对该桥梁的成桥索力进行优化。将优化后的主梁与桥塔的内力以及索力与传统优化方法下的结果相比较。结果表明:与传统的优化方法相比,改进后的粒子群算法使得主梁与桥塔的内力、索力更小。该方法可为类似桥梁的成桥索力优化提供一定的参考。

A hybrid laminated girder cable-stayed bridges is used as the engineering background for the optimization of the cable force of a cable-stayed bridge.The optimization model of the bridge is established,and a combination of the minimum bending energy method and a modified particle swarm algorithm was used to optimize the bridge's bridge-forming cable force.The internal forces,displacements and cable forces of the optimized main girder and tower are compared with those of the traditional optimization method.The results show that the method used in this paper results in smaller internal forces,displacements,and horizontal displacements of the main girders and towers compared with the traditional optimization method.This method can provide some reference for the optimization of the forming cable force of similar bridges.