Optimization Study For The Cross-Section Of A Concrete Gravity Dam: Genetic Algorithm Model And Application
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Leilson Joaquim Araujo [1] ; Agno Vieira [2] ; Daniela Gutstein [1]
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[1] Universidade Tecnológica Federal do Paraná
Universidade Tecnológica Federal do Paraná
Brasil
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[2] Instituto Federal de Goiás
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- Localización: Métodos numéricos para cálculo y diseño en ingeniería: Revista internacional, ISSN 0213-1315, Vol. 35, Nº 3, 2019, págs. 1-15
- Idioma: inglés
- DOI: 10.23967/j.rimni.2019.06.002
- Enlaces
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Resumen
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.
