Analysis of the discharge capacity of radial-gated spillways using CFD and ANN - Oliana Dam case study.

Salazar, Fernando, Morán Moya, Rafael ORCID: https://orcid.org/0000-0002-0031-1605, Rossi, Riccardo and Oñate Ibáñez, Eugenio (2013). Analysis of the discharge capacity of radial-gated spillways using CFD and ANN - Oliana Dam case study.. "Journal of Hydraulic Research", v. 51 (n. 3); pp. 244-252. ISSN 0022-1686. https://doi.org/10.1080/00221686.2012.755714.

Description

Title: Analysis of the discharge capacity of radial-gated spillways using CFD and ANN - Oliana Dam case study.
Author/s:
Item Type: Article
Título de Revista/Publicación: Journal of Hydraulic Research
Date: 20 March 2013
ISSN: 0022-1686
Volume: 51
Subjects:
Faculty: E.T.S.I. Caminos, Canales y Puertos (UPM)
Department: Ingeniería Civil: Hidráulica y Energética [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The paper focuses on the analysis of radial-gated spillways, which is carried out by the solution of a numerical model based on the finite element method (FEM). The Oliana Dam is considered as a case study and the discharge capacity is predicted both by the application of a level-set-based free-surface solver and by the use of traditional empirical formulations. The results of the analysis are then used for training an artificial neural network to allow real-time predictions of the discharge in any situation of energy head and gate opening within the operation range of the reservoir. The comparison of the results obtained with the different methods shows that numerical models such as the FEM can be useful as a predictive tool for the analysis of the hydraulic performance of radial-gated spillways.

More information

Item ID: 29498
DC Identifier: https://oa.upm.es/29498/
OAI Identifier: oai:oa.upm.es:29498
DOI: 10.1080/00221686.2012.755714
Official URL: http://www.tandfonline.com/doi/abs/10.1080/0022168...
Deposited by: Memoria Investigacion
Deposited on: 03 Jul 2014 08:24
Last Modified: 18 Oct 2018 10:33
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