摘要
运行多年的大坝在各种荷载的作用下,大坝及其基础的物理力学参数发生一定的变化,对大坝的安全与稳定有着直接的影响.为了准确地获取这些参数,可以利用BP神经网络非线性映射的特性,结合大坝实测资料,提出了大坝反演分析的方法,并利用反演分析的成果对大坝进行分析,计算结果与实测资料基本吻合.
Dams with years of loads can see changes in their physical and mechanical parameters,which pose as a direct threat to its safety and stability. In order to track these parameters,this paper makes use of nonlinear mapping feature of BP neural network,and,combined with the field data,puts forward a method of inversion analysis for the dam. Its feasibility is proved by the match of inversion analysis results and the experimental data.
出处
《南昌工程学院学报》
CAS
2014年第3期18-20,共3页
Journal of Nanchang Institute of Technology
关键词
BP神经网络
面板堆石坝
参数反演
BP neural network
concrete-faced rockfill dam
parameter inversion
