重力坝基岩力学时变特性随机动态分析模型  

Random dynamical model for mechanical time-varying characteristics of gravity dam foundation

作　　者：赵二峰[1,2] 朱凯[1,2] 刘敬洋[1,2] 

机构地区：[1]河海大学水文水资源与水利工程科学国家重点实验室,江苏南京210098 [2]河海大学水资源高效利用与工程安全国家工程研究中心,江苏南京210098

出　　处：《武汉大学学报（工学版）》2013年第1期89-94,共6页Engineering Journal of Wuhan University

基　　金：河海大学中央高校基本科研业务费项目(编号:2012B00814);水利部公益性行业科研专项经费项目(编号:201201038);中国电力投资集团公司科技项目(编号:2011-042-HHS-KJ-X)

摘　　要：以实测资料为依据,利用随机有限元计算了重力坝在环境荷载作用下的效应场,并基于递阶对角神经网络原理,动态获取了重力坝基岩力学时变特性参数,建立了重力坝基岩力学时变特性随机动态分析模型,可用于评估重力坝基岩力学时变特性参数的变化性态.Gravity dam and its foundation bear great loads and their operating conditions are very complex,which make design and operating status to be different.Therefore,gravity dam effects under environmental loads were calculated using random FEM.And mechanical time-varying characteristics parameters of gravity dam foundation were calculated dynamically based on hierarchical diagonal neural network with monitoring data.On the basis,gravity dam foundation time-varying model was constructed through the exponential function.The model can be taken into the assessment of varying parameters of gravity dam bedrock mechanical aging behaviors.

关 键 词：重力坝 随机动态模型 递阶对角神经网络 时变特性 

分 类 号：TV698.1[水利工程—水利水电工程] O211.6[理学—概率论与数理统计]