基于人工蜂群算法的隧道沉降预测法设计

Design of tunnel settlement prediction method basedon artificial bee colony algorithm

传统隧道沉降预测方法因未对隧道沉降状态进行分析,导致预测结果与实际之间具有较大差距,为提升隧道沉降预测准确率,提出基于人工蜂群算法的隧道沉降预测方法。采用整体分析方法获取隧道沉降的力学参数指标,通过隧道沉降位移和时间关系曲线分析隧道沉降状态参数,并构建隧道沉降状态模型。根据隧道沉降状态进行隧道沉降过程参数拟合,利用地层沉降监测数据与有限元分析方法进行隧道沉降盾构参数分析和工况特征分析,采用人工蜂群算法实现隧道沉降预测。仿真测试结果表明,该方法的预测准确率高,预测耗时短,实际应用效果好。

Because the traditional tunnel settlement prediction method does not analyze the tunnel settlement state,there is a big gap between the prediction results and the actual situation.Therefore,in order to improve the accuracy of tunnel settlement prediction,this paper proposes a tunnel settlement prediction method based on artificial bee colony algorithm.The mechanical parameters of tunnel settlement are obtained by using the overall analysis method,and the tunnel settlement state parameters are analyzed through the curve of tunnel settlement displacement and time,and the tunnel settlement state model is constructed.According to the settlement state of the tunnel,the parameters of the tunnel settlement process are fitted,and the parameters and working conditions of the tunnel settlement shield are analyzed by using the ground settlement monitoring data and the finite element analysis method.The artificial bee colony algorithm is used to realize the tunnel settlement prediction.The simulation results show that the method has high prediction accuracy,short prediction time and good practical application effect.