EGO算法在系杆拱桥成桥索力优化中的应用研究

Application of EGO Algorithm in Cable Force Optimization of Tie Arch Bridge

系杆拱桥成桥索力极大地影响着桥梁整体的最终受力状态。为使已有的索力确定方法能够有更佳的使用效果,笔者提出使用EGO算法对系杆拱桥成桥索力进行优化。本研究阐述了EGO算法核心部分的原理,并给出了其在索力优化中的数学模型和具体优化步骤。最后,通过工程案例对所提的方法进行验证,得出了其具有良好的索力优化效果的结论。本研究所采用的方法能给系杆拱桥索力的优化和已有索力确定方法的改进提供一定参考。

The cable force of tied arch bridge greatly affects the final stress state of the whole bridge.In order to make the existing cable force determination methods more effective,an EGO(Efficient Global Optimization) algorithm is proposed to optimize the cable force of tied arch bridges.The principle of the core part of EGO algorithm is described,and its mathematical model and specific optimization steps in cable force optimization are given.Finally, the method proposed in this paper is verified by an engineering case,and a conclusion is drawn that it has good cable force optimization effect.The method presented in this paper can provide some reference for the optimization of cable forces of tied arch Bridges and the improvement of existing determination methods of cable forces.