基于粒子群算法的地铁隧道支护荷载反演分析

Back analysis of supporting load ofsubway tunnel based on particle swarm optimization algorithm

针对地铁区间隧道支护结构在施工期的安全性问题,结合地下结构变形监测和位移反分析技术,对隧道支护结构荷载的反演问题进行了探讨。研究了适合地铁隧道支护荷载反演分析的基础信息和荷载函数形式,并将粒子群算法引入到支护荷载的位移反分析求解中。算例表明,采用粒子群算法结合有限元技术将有效提高支护荷载反演分析计算的效率,可为隧道结构的信息化设计和施工提供参考。

In view of the safety problems of supporting structure during subway tunnel construction period,combining the underground structural monitoring and displacement back analysis technologies,we discussed the back analysis of supporting structure load of subway.The basic information and load function adapted to the back analysis of supporting structure load of subway tunnel are studied,and the particle swarm optimization algorithm is applied in the displacement back analysis of supporting structure load.The example shows that the calculation by integrating particle swarm optimization algorithm with finite element method will increase the efficiency of back analysis of support load.This method will provide a reference for informationization design and construction of subway tunnel.