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复杂运行条件下水闸的材料力学参数随着服役时间的增长往往会发生变化,因而利用现场原型监测资料对水闸材料力学参数进行实时反演,对掌握水闸整体安全工作性态具有重要价值。基于分组量子遗传算法建立水闸地基土层力学参数有限元联合反演模型,通过Matlab编程建立有限元软件调用接口,利用工程实测值与有限元计算值确立误差适应度函数,并通过分组量子遗传算法进行智能寻优,实现水闸地基土层力学参数反演。实例应用表明,该方法反演精度及运行速度均高于传统遗传算法,具有一定的实践应用价值。
The mechanical parameters of sluice under complex operating conditions often change with the increase of service time. Therefore, the real-time inversion of mechanical parameters of sluice material with on-site prototype monitoring data is of great value to master the overall safety behavior of sluice. Based on the grouping quantum genetic algorithm, a finite element joint inversion model of soil mechanics parameters of sluice foundation was set up, and the interface of finite element software was established by Matlab programming. The error fitness function was established by the engineering measured value and the finite element calculation value, Intelligent optimization, the realization of sluice foundation soil mechanics parameters inversion. The example application shows that the accuracy and speed of the method are higher than the traditional genetic algorithm, which has some practical value.