基于影响矩阵及粒子群算法的斜拉桥自动调索

Automatic Cable Force Adjustment for Cable Stayed Bridge Based on Influence Matrix and Particle Swarm Optimization Algorithm

给出一种基于影响矩阵法和粒子群智能优化算法的调索计算方案,能够针对斜拉桥有限元分析或者施工监控索力计算问题实现自动化的索力调整,以替代冗余反复的计算工作.利用编制的程序,对某斜拉桥有限元模型的索力进行了自动调索,结果表明,该方案可以快速地获得合理的群索初始拉力,并使得相对误差控制在2%以内.该自动调索方法为斜拉桥建模分析和施工监控索力计算提供了一种新的高效解决思路.

The paper presents an influence matrix and particle swarm intelligence optimization algorithm-based cable force adjustment computing algorithm to realize the automatic cable force adjustment for the cable-stayed bridge structural analysis or construction observation computing tasks. The cable force adjustment is modeled as an auto resolution space searching process to replace the tautological manual tentative calculation. The programs are developed and applied to the cable-stayed bridge, and the result shows that in most cases, a rational resolution for cable force collection can be obtained handily and promptly without any manual interventions. And in all cases, the relative errors are controlled to be within 2 %. The proposed method is expected to provide an efficient resolution or guideline for structural finite element method （FEM） analysis and construction observation computing on cable-stayed bridge.