Effect of shape and properties of filter on the quantity of seepage through homogeneous Earth dams

2022 ◽  
Author(s):  
Rihan J. Mohammed ◽  
Mahmood G. Jassam
Keyword(s):  
Earth Dams

Numerical Investigation of liquefaction in earth dams: A Comparison of Darcy and Non-Darcy flow models

2019 ◽  
Vol 116 ◽  
pp. 103182 ◽  
Author(s):  
Farideh Hosseinejad ◽  
Farhoud Kalateh ◽  
Alireza Mojtahedi
Keyword(s):  
Numerical Investigation ◽  
Darcy Flow ◽  
Earth Dams ◽  
Flow Models

Seismic response of large earth dams in near-source areas

2021 ◽  
Vol 132 ◽  
pp. 103807
Author(s):  
Stefania Sica ◽  
Angelo Dello Russo
Keyword(s):  
Seismic Response ◽  
Earth Dams ◽  
Source Areas

Predicting Seepage of Earth Dams Using Neural Network and Genetic Algorithm

2011 ◽  
Vol 403-408 ◽  
pp. 3081-3085 ◽  
Author(s):  
Xin Ying Miao ◽  
Jin Kui Chu ◽  
Jing Qiao ◽  
Ling Han Zhang
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Field Data ◽  
Back Propagation ◽  
Earth Dam ◽  
Earth Dams ◽  
Gradient Descent Algorithm ◽  
Levenberg Marquardt ◽  
Lm Algorithm ◽  
Good Agreement

Measurements of seepage are fundamental for earth dam surveillance. However, it is difficult to establish an effective and practical dam seepage prediction model due to the nonlinearity between seepage and its influencing factors. Genetic Algorithm for Levenberg-Marquardt(GA-LM), a new neural network(NN) model has been developed for predicting the seepage of an earth dam in China using 381 databases of field data (of which 366 in 2008 were used for training and 15 in 2009 for testing). Genetic algorithm(GA) is an ecological system algorithm, which was adopted to optimize the NN structure. Levenberg-Marquardt (LM) algorithm was originally designed to serve as an intermediate optimization algorithm between the Gauss-Newton(GN) method and the gradient descent algorithm, which was used to train NN. The predicted seepage values using GA-LM model are in good agreement with the field data. It is demonstrated here that the model is capable of predicting the seepage of earth dams accurately. The performance of GA-LM has been compared with that of conventional Back-Propagation(BP) algorithm and LM algorithm with trial-and-error approach. The comparison indicates that the GA-LM model can offer stronger and better performance than conventional NNs when used as a quick interpolation and extrapolation tool.

Clay lining of leaking earth dams

1990 ◽  
Vol 17 (4) ◽  
pp. 379-390 ◽  
Author(s):  
R.G. Pepper ◽  
K.L. Burke
Keyword(s):  
Earth Dams

Seismic stability of earth dams

1992 ◽  
Vol 26 (2) ◽  
pp. 91-99 ◽  
Author(s):  
L. N. Rasskazov ◽  
A. S. Bestuzheva
Keyword(s):  
Seismic Stability ◽  
Earth Dams
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