摘要
根据实际情况建立了李家峡水电站的三维有限元模型以对大坝的工作状态进行安全监控。同时,根据不同工况下坝体实测位移相对值,用改进的BP网络来反演坝体弹性模量和基岩变形模量,可为计算模型提供更准确的参数,对大坝的安全状态做出准确评价。所用的方法也为其他物理力学参数的反演提供了有效的思路和方法。
Three-dimensional finite element model of Lijiaxia Hydropower Station is established to monitor operation condition of the arch dam. Based on prototype observation data, an improved back propagation（BP） neural network is applied to calculate elastic modulus of arch concrete dam for Lijiaxia Hydropower Station and deformation modulus of its foundation. This method can provide precise parameters for the calculation of the model, and can make a precise evaluation on the safety condition of dam. It can also provide a new way to the back analysis of other physico-mechanical parameters.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2005年第24期4466-4471,共6页
Chinese Journal of Rock Mechanics and Engineering
关键词
水利工程
拱坝
弹性模量
变形模量
反演
BP神经网络
李家峡水电站
hydraulic engineering
arch dam
elastic modulus
deformation modulus
back analysis
back propagation（BP） neural network
Lijiaxia Hydropower Station
