基于改进粒子群的非对称斜拉桥成桥索力优化

Cable Force Optimization of Dissymmetric Cable-stayed Bridge Based on Improved Particle Swarm Optimization

针对非对称斜拉桥主塔水平受力复杂和主梁弯矩不对称的特点,提出了以主塔拉压应变能和主梁弯曲应变能为目标函数,以主塔水平位移和主梁竖向位移为控制条件的索力优化过程。并且根据粒子群算法在多参数优化中的问题,提出了速度惯性依据群体最优变化而变化的改进粒子群算法。以某长江大桥为背景,分别利用ANSYS自带零阶优化,标准粒子群算法和本文提出的改进粒子算法进行优化比较。优化结果表现,改进的粒子群算法在优化结果和优化速度上都较前两种有改善。

Considering the characteristics of dissymmetric-span cable-stayed bridge under complex horizontal force and the complex moment of girder,this article proposed a method to hold this peoblem.The proposed method take the tower’s compressing energy and girder’s bending as the objective function,and the horizontal displacement of the tower and vertical displacement of main girder are confined in order to optimize the process conditions of the cable force control.According to the problem of particle swarm optimization in multi parameter optimization,an improved particle swarm optimization algorithm based on the change of swarm optimization is proposed.Taking a Yangtze River bridge as the background,this paper compares the ANSYS with zero order optimization,the standard particle swarm optimization algorithm and the improved particle swarm optimization algorithm proposed in this paper.The optimization results show that the improved particle swarm optimization algorithm is better than the other two in the optimization results and the optimization speed.