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dc.contributor.authorAraujo, Leilson Joaquim
dc.contributor.authorVieira, Agno
dc.contributor.authorGutstein, Daniela
dc.date.accessioned2019-07-24T12:59:49Z
dc.date.available2019-07-24T12:59:49Z
dc.date.issued2019
dc.identifier.citationAraujo, L. J.; Vieira, A.; Gutstein, D. Optimization Study For The Cross-Section Of A Concrete Gravity Dam: Genetic Algorithm Model And Application. "Revista internacional de métodos numéricos para cálculo y diseño en ingeniería", 2019, vol. 35, núm. 3.
dc.identifier.issn1886-158X
dc.identifier.issn0213-1315
dc.identifier.urihttp://hdl.handle.net/2117/166837
dc.description.abstractConcrete gravity dams have trapezoidal shape in their cross section and shall guarantee the global stability against acting loads like hydrostatic and uplift pressures through his gravitational actions (self-weight and others). This study focuses on the shape optimization of concrete gravity dams using genetic algorithms. In this case, the dam cross section area is considered as the objective function and the design variables are the geometric parameters of the gravity dam. The optimum cross-section of a concrete gravity dam is achieved by the Genetic Algorithm (GA) through a Matlab routine developed by the author. Sliding, overturning and floating verifications are implemented in the program. In order to assess the efficiency of the proposed methodology for gravity dams optimization, one application is presented adopting the concrete gravity dam of Belo Monte Hydropower Plant (HPP), considering normal loading condition and others assumptions presented.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. CIMNE
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0/deed.es
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica
dc.subject.lcshNumerical analysis
dc.subject.otherOptimization
dc.subject.otherconcrete gravity dams
dc.subject.othergenetic algorithm
dc.subject.otherdesign optimization
dc.titleOptimization Study For The Cross-Section Of A Concrete Gravity Dam: Genetic Algorithm Model And Application
dc.typeArticle
dc.subject.lemacAnàlisi numèrica
dc.identifier.doi10.23967/j.rimni.2019.06.002
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.publicationNameRevista internacional de métodos numéricos para cálculo y diseño en ingeniería
local.citation.volume35
local.citation.number3


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