Genetically aerodynamic optimization of the nose shape of a high-speed train entering a tunnel
Autor: | Antonio Crespo, J. Muñoz-Paniagua, Javier García |
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Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
Optimal design
Engineering Renewable Energy Sustainability and the Environment Turbulence business.industry Mechanical Engineering 02 engineering and technology Aerodynamics Transporte 01 natural sciences Multi-objective optimization Ingeniería Industrial 010305 fluids & plasmas 020303 mechanical engineering & transports 0203 mechanical engineering Control theory 0103 physical sciences Genetic algorithm Compressibility Aerodynamic drag Shape optimization business Simulation Civil and Structural Engineering |
Zdroj: | Journal of Wind Engineering And Industrial Aerodynamics, ISSN 0167-6105, 2014-07, Vol. 130, No. null Archivo Digital UPM Universidad Politécnica de Madrid |
Popis: | The optimization of the nose shape of a high-speed train entering a tunnel has been performed using genetic algorithms (GA). This optimization method requires the parameterization of each optimal candidate as a design vector. The geometrical parameterization of the nose has been defined using three design variables that include the most characteristic geometrical factors affecting the compression wave generated at the entry of the train and the aerodynamic drag of the train. A large set of three-dimensional, turbulent, compressible, unsteady simulations of realistic train models have been done, and this information has been used to fit a metamodel. The metamodel is used by the GA to evaluate each optimal candidate in a more efficient way. The optimal designs that minimize the maximum pressure gradient and the aerodynamic drag are in good agreement with the literature. To complete this single-objective optimization, a multi-objective optimization has been developed, and a Pareto front has been obtained. The use of metamodels has permitted to analyze the influence of each design variable. |
Databáze: | OpenAIRE |
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