Inversion of the Seepage Parameters of Earth/Rockfill Dams Considering the Coupling Effect of Seepage and Thermal Transfer

被引:17
作者
Nan, Shenghao [1 ]
Ren, Jie [1 ,3 ]
Ma, Zhaoyang [2 ]
Kang, Jie [1 ]
Sui, Jiaheng [1 ]
机构
[1] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg, Xian 710048, Peoples R China
[2] China Water Resources Beifang Invest Design & Res, Tianjin 300222, Peoples R China
[3] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg, Xian 710048, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Inversion of seepage parameters; Earth/rock-fill dam; Universal kriging surrogate model; Multi-island genetic algorithm; EARTH DAM; HYDRAULIC CONDUCTIVITY; OPTIMIZATION; MODEL; IDENTIFICATION; DEFORMATION; UNCERTAINTY; SURFACE; LEAKAGE; TRACER;
D O I
10.1016/j.compgeo.2023.105882
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The estimation of inversion parameters for seepage models is very important for ensuring the safety of earth/ rockfill dams. In most existing studies, only hydraulic characteristics have been determined based on seepage pressure or discharge observation information, which may result in inversion results that do not accurately characterize the true properties of dam materials. In this paper, an advanced parameter inversion method considering the coupling effect of seepage and thermal transfer is proposed. A seepage-thermal transfer coupled finite element model is established, and hydraulic head and temperature data of monitoring points are obtained through the forward simulation method. The entropy weight (EW) method is used to preprocess the hydraulic head and temperature data, and a universal kriging (UK) surrogate model is established to replace the timeconsuming finite element simulations. The multi-island genetic algorithm (MIGA) is applied to find the optimal solution, thereby obtaining the inversion results. The effectiveness and accuracy of the proposed method are verified through laboratory tests involving seepage and thermal transfer monitoring of a core rockfill dam. Joint inversion based on temperature and hydraulic head observation information can result in improvement in the accuracy of the inversion results.
引用
收藏
页数:14
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