Estimating horizontal drain design by the finite-element and finite-difference methods

Tesarik, D.R.; Kealy, C. Dan

doi:10.1007/bf02505836

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…If the optimal dimensions are found, the performance of these dams will be improved and, in terms of costs, the construction of the dam will be very short and cost-effective. Tesarik & Kealy (2005) modeled a number of earth dams, providing graphs for the estimation of the horizontal drainage function in lowering the phreatic Line. Based on these graphs, the researchers analyzed two earth dams without drainage and with horizontal drainage (drainage of specified length) using a computer and laboratory model.…”

Section: Introductionmentioning

confidence: 99%

Effect of different parameters of heterogeneous dams on safety factor using the neural network. Case study: Marvan dam

Beiranvand¹,

Mohammadzadeh²,

Komasi³

2019

Nexo Revista Científica

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The drainage system is used to guide the flow of water in the earth dams. Construction of drainage in the dam body to collect and direct the drainage formed in the dam body to keep the slope dry and prevent the increase of pore water pressure in the body. One of the main goals of the designers is to find the minimum factor of safety and, consequently, reduce the cost of construction. In this study, the Marvak dam is modeled with the actual characteristics of the materials in the Geostudio software, and with the change in the dimensions of the drain, the material and the slope of the dam body, the minimum Factor of safety of the dam is obtained. In order to predict the minimum Factor of safety, a two-layer neural network has been used. With the training of the neural network based on the data obtained from heterogeneous dams, a minimum Factor of safety has been extracted for optimization of drainage. Finally, it was determined that the internal friction angle of the body material and the slope of the dam have the greatest effect on the dam factor of safety.

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Section: Introductionmentioning

confidence: 99%

Effect of different parameters of heterogeneous dams on safety factor using the neural network. Case study: Marvan dam

Beiranvand¹,

Mohammadzadeh²,

Komasi³

2019

Nexo Revista Científica

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“…Posteriormente, se cargó en el software Slide la geometría del modelo y el material que conforma el dren, en la ventana del groundwater se definió la altura de la tabla de agua como una presión o carga contra la frontera derecha del modelo, por otra parte se definió, para el material que representa el dren, la condición de presión de poros igual a cero (Tesarik, 1984), finalmente se generó la discretización de la malla de elementos finitos y se corrió el flujo del modelo.…”

Section: Modelación Con Drenesunclassified

Modelación del flujo en taludes para drenes horizontales

Vergara¹,

Buitrago²

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Existe una estrecha relación entre lo periodos de mayores precipitantes y los meses en los cuales se generan gran parte de los deslizamientos. Existen diferentes medidas para reducir la probabilidad que se produzcan movimientos de remoción de masas, dentro de los cuales se encuentra la construcción de drenajes horizontales. En el análisis de la estabilidad de taludes, se involucra el concepto de equilibrio límite y por ende tiene inmerso el factor de seguridad. El presente proyecto de grado plantea que al implementar drenes horizontales, se incrementa el factor de seguridad, con el cual se logra reducir la probabilidad de falla de los taludes.

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Mitigation Measures for Stability Enhancement of Tailing Dams during Construction

Saad

2013

Geo-Congress 2013

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Estimating horizontal drain design by the finite-element and finite-difference methods

Cited by 5 publications

References 1 publication

Effect of different parameters of heterogeneous dams on safety factor using the neural network. Case study: Marvan dam

Effect of different parameters of heterogeneous dams on safety factor using the neural network. Case study: Marvan dam

Modelación del flujo en taludes para drenes horizontales

Mitigation Measures for Stability Enhancement of Tailing Dams during Construction

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