关键词: 混凝土面板堆石坝, 渗流量, 三维有限元渗流模型

Abstract: Limited by construction conditions, some concrete face rockfill dams have not built down- stream weirs, and only a certain number of osmometers are arranged, which can not reflect the dam seep- age situation through the leakage volume. Due to the complexity of seepage control of concrete face rock - fill dams, it is difficult to obtain the relationship between seepage pressure and seepage volume behind the concrete face by analytical method. In this study, the artificial neural network method is used to es- tablish the relationship model between seepage pressure and seepage volume of the CFRD based on its nonlinear mapping ability, and the measured values are used to verify it. The results by the leakage esti- mation method based on the training samples obtained from the three-dimensional finite element seep- age model are close to the measured results, which can provide a new way for leakage estimation of earth rock dams limited by geological conditions.

Key words: concrete face rockfill dam, seepage volume, three-dimensional finite element seepage model