Wheel shape optimization approaches to reduce railway rolling noise

[EN] A wheel shape optimization of a railway wheel cross section by means of Genetic Algorithms (GAs) is presented with the aim of minimizing rolling noise radiation. Two different approaches have been implemented with this purpose, one centred on direct Sound poWer Level (SWL) minimization, calcula...

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Autores: García-Andrés, Francesc Xavier, Gutiérrez-Gil, Jorge, Martínez Casas, José|||0000-0001-5706-4951, F. D. Denia|||0000-0003-4536-8610
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/176427
Acceso en línea:https://riunet.upv.es/handle/10251/176427
Access Level:acceso abierto
Palabra clave:Railway wheel
Geometric optimization
Genetic algorithms
Rolling noise
Finite element method
TWINS
Response surface
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
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spelling Wheel shape optimization approaches to reduce railway rolling noiseGarcía-Andrés, Francesc XavierGutiérrez-Gil, JorgeMartínez Casas, José|||0000-0001-5706-4951F. D. Denia|||0000-0003-4536-8610Railway wheelGeometric optimizationGenetic algorithmsRolling noiseFinite element methodTWINSResponse surfaceINGENIERIA MECANICA09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación[EN] A wheel shape optimization of a railway wheel cross section by means of Genetic Algorithms (GAs) is presented with the aim of minimizing rolling noise radiation. Two different approaches have been implemented with this purpose, one centred on direct Sound poWer Level (SWL) minimization, calculated using TWINS methodology, and another one emphasizing computational efficiency, focused on natural frequencies maximization. Numerical simulations are carried out with a Finite Element Method (FEM) model using general axisymmetric elements. The design space is defined by a geometric parametrization of the wheel cross section with four parameters: wheel radius, a web thickness factor, fillet radius and web offset. For all wheel candidates a high-cycle fatigue analysis has been performed according to actual standards, in order to assure structural feasibility. Rolling noise reductions have been achieved, with a decrease of up to 5 dB(A) when considering the wheel component. Response surfaces have been also computed to study the dependency of the objective functions on the geometric parameters and to test the adequacy of the optimization algorithm applied.This study was financially supported by Ministerio de Ciencia, Innovacion y Universidades - Agencia Estatal de Investigacion, European Regional Development Fund (project TRA2017-84701-R), and Conselleria d'Educacio, Investigacio, Cultura i Esport (Generalitat Valenciana, project Prometeo/2016/007).Springer-VerlagEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialDepartamento de Ingeniería Mecánica y de MaterialesCentro de Investigación en Ingeniería MecánicaInstituto Universitario de Investigación Concertado de Ingeniería Mecánica y BiomecánicaEscuela Técnica Superior de Ingeniería IndustrialGENERALITAT VALENCIANAAGENCIA ESTATAL DE INVESTIGACIONMinisterio de Economía y EmpresaRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-11-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/176427reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TRA2017-84701-R DESARROLLO DE UN MODELO INTEGRAL DE INTERACCION VEHICULO%2FVIA EN CURVA PARA LA REDUCCION DEL IMPACTO ACUSTICO DEL TRANSPORTE FERROVIARIOGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2016%2F007 MODELADO NUMERICO AVANZADO EN INGENIERIA MECANICAMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 BES-2014-070208 BES-2014-070208open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1764272026-06-13T07:49:27Z
dc.title.none.fl_str_mv Wheel shape optimization approaches to reduce railway rolling noise
title Wheel shape optimization approaches to reduce railway rolling noise
spellingShingle Wheel shape optimization approaches to reduce railway rolling noise
García-Andrés, Francesc Xavier
Railway wheel
Geometric optimization
Genetic algorithms
Rolling noise
Finite element method
TWINS
Response surface
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
title_short Wheel shape optimization approaches to reduce railway rolling noise
title_full Wheel shape optimization approaches to reduce railway rolling noise
title_fullStr Wheel shape optimization approaches to reduce railway rolling noise
title_full_unstemmed Wheel shape optimization approaches to reduce railway rolling noise
title_sort Wheel shape optimization approaches to reduce railway rolling noise
dc.creator.none.fl_str_mv García-Andrés, Francesc Xavier
Gutiérrez-Gil, Jorge
Martínez Casas, José|||0000-0001-5706-4951
F. D. Denia|||0000-0003-4536-8610
author García-Andrés, Francesc Xavier
author_facet García-Andrés, Francesc Xavier
Gutiérrez-Gil, Jorge
Martínez Casas, José|||0000-0001-5706-4951
F. D. Denia|||0000-0003-4536-8610
author_role author
author2 Gutiérrez-Gil, Jorge
Martínez Casas, José|||0000-0001-5706-4951
F. D. Denia|||0000-0003-4536-8610
author2_role author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Departamento de Ingeniería Mecánica y de Materiales
Centro de Investigación en Ingeniería Mecánica
Instituto Universitario de Investigación Concertado de Ingeniería Mecánica y Biomecánica
Escuela Técnica Superior de Ingeniería Industrial
GENERALITAT VALENCIANA
AGENCIA ESTATAL DE INVESTIGACION
Ministerio de Economía y Empresa
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Railway wheel
Geometric optimization
Genetic algorithms
Rolling noise
Finite element method
TWINS
Response surface
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
topic Railway wheel
Geometric optimization
Genetic algorithms
Rolling noise
Finite element method
TWINS
Response surface
INGENIERIA MECANICA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
description [EN] A wheel shape optimization of a railway wheel cross section by means of Genetic Algorithms (GAs) is presented with the aim of minimizing rolling noise radiation. Two different approaches have been implemented with this purpose, one centred on direct Sound poWer Level (SWL) minimization, calculated using TWINS methodology, and another one emphasizing computational efficiency, focused on natural frequencies maximization. Numerical simulations are carried out with a Finite Element Method (FEM) model using general axisymmetric elements. The design space is defined by a geometric parametrization of the wheel cross section with four parameters: wheel radius, a web thickness factor, fillet radius and web offset. For all wheel candidates a high-cycle fatigue analysis has been performed according to actual standards, in order to assure structural feasibility. Rolling noise reductions have been achieved, with a decrease of up to 5 dB(A) when considering the wheel component. Response surfaces have been also computed to study the dependency of the objective functions on the geometric parameters and to test the adequacy of the optimization algorithm applied.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-11-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/176427
url https://riunet.upv.es/handle/10251/176427
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TRA2017-84701-R DESARROLLO DE UN MODELO INTEGRAL DE INTERACCION VEHICULO%2FVIA EN CURVA PARA LA REDUCCION DEL IMPACTO ACUSTICO DEL TRANSPORTE FERROVIARIO
Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2016%2F007 MODELADO NUMERICO AVANZADO EN INGENIERIA MECANICA
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 BES-2014-070208 BES-2014-070208
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag
publisher.none.fl_str_mv Springer-Verlag
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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