Aerodynamic Optimization of a High-speed Train using Genetic Algorithms

Muñoz Paniagua, Jorge and García García, Javier and Crespo Martínez, Antonio (2014). Aerodynamic Optimization of a High-speed Train using Genetic Algorithms. In: "Second European Forum on Railway Running Gear", June 16th - 18th, 2014, Alcalá de Henares, España. pp. 1-12.

Description

Title: Aerodynamic Optimization of a High-speed Train using Genetic Algorithms
Author/s:
  • Muñoz Paniagua, Jorge
  • García García, Javier
  • Crespo Martínez, Antonio
Item Type: Presentation at Congress or Conference (Article)
Event Title: Second European Forum on Railway Running Gear
Event Dates: June 16th - 18th, 2014
Event Location: Alcalá de Henares, España
Title of Book: Second European Forum on Railway Running Gear
Date: 2014
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Energética
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Genetic algorithms (GA) have been used for the minimization of the aerodynamic drag of a train subject to front wind. The significant importance of the external aerodynamic drag on the total resistance a train experiments as the cruise speed is increased highlights the interest of this study. A complete description of the methodology required for this optimization method is introduced here, where the parameterization of the geometry to be optimized and the metamodel used to speed up the optimization process are detailed. A reduction of about a 25% of the initial aerodynamic drag is obtained in this study, what confirms GA as a proper method for this optimization problem. The evolution of the nose shape is consistent with the literature. The advantage of using metamodels is stressed thanks to the information of the whole design space extracted from it. The influence of each design variable on the objective function is analyzed by means of an ANOVA test.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTRA -2010- 20582UnspecifiedUnspecifiedUnspecified

More information

Item ID: 36904
DC Identifier: http://oa.upm.es/36904/
OAI Identifier: oai:oa.upm.es:36904
Official URL: https://www.uah.es/comunica/agenda/comunica.asp?cevento=6982&cat=53
Deposited by: Memoria Investigacion
Deposited on: 20 Apr 2016 16:18
Last Modified: 20 Apr 2016 16:18
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