2018
DOI: 10.1088/1757-899x/433/1/012029
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Studying the seepage phenomena under a concrete dam using SEEP/W and Artificial Neural Network models.

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Cited by 14 publications
(4 citation statements)
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“…Tayfur et al [25] combined finite elements and artificial neural networks to model a feed-forward three-layer model to invert seepage in an earth and rock dam using backpropagation learning. Saleh [26] obtained reasonable values by combining an artificial neural network and SEEP/W model in calculating the seepage properties of concrete dams.…”
Section: Introductionmentioning
confidence: 99%
“…Tayfur et al [25] combined finite elements and artificial neural networks to model a feed-forward three-layer model to invert seepage in an earth and rock dam using backpropagation learning. Saleh [26] obtained reasonable values by combining an artificial neural network and SEEP/W model in calculating the seepage properties of concrete dams.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of concrete dam (Elliotis, 2019), various investigators have employed mathematical models to analyze steady-state seepage and evaluate seepage stability (Kasama et al, 2020) in rubble mounds under caisson structure exposed to tsunami overflow and seepage flow. Additionally, Saleh (2018) and Zhang et al (2021) observed seepage phenomena in reinforced concrete dam foundations using a finite element method that was based on an artificial neural network model with variations in pile depth and grouting location.…”
Section: Introductionmentioning
confidence: 99%
“…The construction, operation and maintenance costs of these structures are increased with the unexpected site foundation problems due to the treatment operation to support these types of soil problems. Examples of these problems include seepage piping erosion and quick sand in the upstream and underneath structure foundations [3,4]. Climate changes increased the drought and water crisis in arid and semi-arid areas, causing a requirement of new facilities to control and benefit from water resources in these areas [5].…”
Section: Introductionmentioning
confidence: 99%