The application of multi-parameters genetic algorithm in the subway crossing project
Zhao Jiangtao1 Su Jie2 Wang Jianchen2 Niu Xiaokai1 Cheng Lanting1
1. Beijing Muntcipal Engineering Research Insutute, Beijing 100037, China； 2. Tunnel and Underground Engineering Research
Center of Ministry of Education, Beijing Jiaotong University, Beijing 100044, China
Abstract： The settlement and deformation prediction of the existing station has always been a very difficult and complicated problem in the subway crossing project. Facing the low accuracy of the positive analysis method, come up with a new back analysis model, which is based on the adaptive genetic algorithm of multi parameters. This model can comprehensively consider the previous two construction steps, and get the best physicomechanical parameters of soil. Based on the new prediction model, the subsidence prediction results of the existing Xuanwumen station by the Beijing metro line 4 under-crossing the Beijing metro line 2 shows that: ①The adaptive genetic algorithm can improve the performance of local convergence, which makes the back-analysis soil parameters more and more accurate; ②Compared with the other methods, the new prediction model has a better adaptability and precision, which should be promoted and applied in projects.
