Long-term deformation analysis of Shuibuya concrete face rockfill dam based on response surface method and improved genetic algorithm  

作　　者：Fu-hai Yao Shao-heng Guan He Yang Yuan Chen Huan-feng Qiu Gang Ma Qi-wen Liu 

机构地区：[1]School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China [2]School of Civil Engineering and Architecture, Wuhan University, Wuhan 430070, China [3]Guiyang Engineering Corporation Limited, Guiyang 550081, China

出　　处：《Water Science and Engineering》2019年第3期196-204,共9页水科学与水工程（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.51579193);the Science and Technology Planning Project of Guizhou Province(Grant No.[2016]1154)

摘　　要：Due to the size effects of rockfill materials, the settlement difference between numerical simulation and in situ monitoring of rockfill dams is a topic of general concern.The constitutive model parameters obtained from laboratory triaxial tests often underestimate the deformation of high rockfill dams.Therefore, constitutive model parameters obtained by back analysis were used to calculate and predict the long-term deformation of rockfill dams.Instead of using artificial neural networks (ANNs), the response surface method (RSM) was employed to replace the finite element simulation used in the optimization iteration.Only 27 training samples were required for RSM, improving computational efficiency compared with ANN, which required 300 training samples.RSM can be used to describe the relationship between the constitutive model parameters and dam settlements.The inversion results of the Shuibuya concrete face rockfill dam (CFRD) show that the calculated settlements agree with the measured data, indicating the accuracy and efficiency of RSM.Due to the size effects of rockfill materials,the settlement difference between numerical simulation and in situ monitoring of rockfill dams is a topic of general concern.The constitutive model parameters obtained from laboratory triaxial tests often underestimate the deformation of high rockfill dams.Therefore,constitutive model parameters obtained by back analysis were used to calculate and predict the long-term deformation of rockfill dams.Instead of using artificial neural networks(ANNs),the response surface method(RSM) was employed to replace the finite element simulation used in the optimization iteration.Only 27 training samples were required for RSM,improving computational efficiency compared with ANN,which required 300 training samples.RSM can be used to describe the relationship between the constitutive model parameters and dam settlements.The inversion results of the Shuibuya concrete face rockfill dam(CFRD) show that the calculated settlements agree with the measured data,indicating the accuracy and efficiency of RSM.

关 键 词：SHUIBUYA ROCKFILL DAM Parameter BACK analysis Response surface method Duncan EB model TIME-DEPENDENT deformation 

分 类 号：TV[水利工程]