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.