Optimization Study For The Cross-Section Of A Concrete Gravity Dam: Genetic Algorithm Model And Application
Visualitza/Obre
10.23967/j.rimni.2019.06.002
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/166837
Tipus de documentArticle
Data publicació2019
EditorUniversitat Politècnica de Catalunya. CIMNE
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-CompartirIgual 3.0 Genèrica
Abstract
Concrete 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.
CitacióAraujo, 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.
ISSN1886-158X
0213-1315
0213-1315
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RIMNI350302.pdf | 4,881Mb | Visualitza/Obre |