基于遗传算法的深埋隧洞外水压力反分析

Back Analysis of External Water Pressure of Burried Depth Tunnel Based on Genetic Algorithm

外水压力是富水区深埋隧洞衬砌结构承受的主要荷载,其取值的准确性直接关系到隧洞设计与施工的安全,根据西南某工程的钢筋应力等监测数据,基于遗传算法,利用FORTRAN语言对通用有限元软件ABAQUS进行了二次开发,编写了遗传算法及其与ABAQUS的接口程序,对引水隧洞衬砌结构承受的外水压力进行了反演分析,得到了外水压力取值,并与实际地勘资料提供的数据进行比较。结果表明,实测值与反演值相近,且均小于正演值,安全性能够得到保证,说明原有计算模型的外水压力初值具有一定的合理性。可见遗传算法用于隧洞的外水压力反演是可行的。

External water pressure is the main load of the buried depth tunnel lining structure in the rich water areas. Its accurate value definitely influences the safety of a tunnel＇s design and construction. According to the monitoring data of the reinforcement stress in a southwestern project and based on the genetic algorithm, the secondary development of general finite element software ABAQUS was carried out by using FORTRAN language. With the help of genetic algorithm program and the interface between it and ABAQUS, back analysis of the external water pressure of the tunnel lining structure was studied. The calculated external water value was compared with the data provided by geological prospecting. The results show that the measured value is consistent with the inverse value, which were both less than the for ward one; the safety can be guaranteed. It demonstrates the rationality of the initial model＇s external water pressure value. So, it is feasible to adopt genetic algorithm in the back analysis of the tunnel＇s external water pressure.