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Effect of upstream semi-impervious blanket of embankment dams on seepage

Author:
Salmasi, F., Nouri, M.
Source:
ISH journal of hydraulic engineering 2019 v.25 no.2 pp. 143-152
ISSN:
2164-3040
Subject:
anisotropy, dams (hydrology), data collection, neural networks, permeability, prediction, seepage
Abstract:
A provision of impervious blanket is investigated aiming to reduce seepage and to increase embankment dam’s stability. The investigation generates sufficient data for typical 2D embankment dam cross-sections by numerically solving a wide range of configurations of a provision of upstream blanket. The generated data comprise the correlation between seepage and the various configuration parameters in terms of upstream blanket thickness and length, effects of anisotropy of bed material, foundation depth, and permeability. These data-sets were used to develop design charts, regression, and ANN models. Results showed that application of impervious of blanket in upstream of the earthen dam at appropriate length and thickness is effective in reducing seepage and thereby increasing dam stability. Performance of ANN was excellent in prediction of seepage.
Agid:
6304130