dc.contributor.author |
Garcia-Andrés, Xavier
|
es_ES |
dc.contributor.author |
Gutiérrez-Gil, Jorge
|
es_ES |
dc.contributor.author |
Andrés, Víctor Tomás
|
es_ES |
dc.contributor.author |
Martínez-Casas, José
|
es_ES |
dc.contributor.author |
Denia, Francisco David
|
es_ES |
dc.date.accessioned |
2022-09-27T12:53:21Z |
|
dc.date.available |
2022-09-27T12:53:21Z |
|
dc.date.issued |
2022-05-11 |
|
dc.identifier.isbn |
9788490489697 |
|
dc.identifier.uri |
http://hdl.handle.net/10251/186614 |
|
dc.description.abstract |
[EN] Railway rolling noise is nowadays a major source of acoustic pollution in urban areas, with nearly up to 12 million people daily affected in Europe by this phenomenon [1]. Hence, the search for ways of decreasing such noise radiation has become a highly active and significant research field. Following this approach, a Genetic Algorithms-based shape optimization of the railway wheel [2] is developed with the aim of minimizing rolling noise. Different approaches are considered to address the problem, such as directly minimizing radiated Sound poWer Level (SWL) or using the maximization of the natural frequencies if computational efficiency is especially critical. A parametric Finite Element model is implemented for the wheel based on the most relevant geometric parameters in rolling noise radiation. For the acoustic calculation, the sound radiation models used in the TWINS software [3] are adopted, which also accounts for the whole dynamics of the wheel/rail system. Furthermore, for every candidate wheel proposed, a structural analysis is computed in order to check design feasibility in accordance with the corresponding standard [4]. In all cases, new geometries for the wheel cross section are achieved that reduce the radiated rolling noise. |
es_ES |
dc.description.sponsorship |
This study has been supported by the Agencia Estatal de Investigación and the European Regional Development Fund (project TRA2017-84701-R). |
es_ES |
dc.format.extent |
9 |
es_ES |
dc.language |
Inglés |
es_ES |
dc.publisher |
Editorial Universitat Politècnica de València |
es_ES |
dc.relation.ispartof |
Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference |
|
dc.rights |
Reconocimiento - No comercial - Compartir igual (by-nc-sa) |
es_ES |
dc.subject |
Railway wheel |
es_ES |
dc.subject |
Geometric optimization |
es_ES |
dc.subject |
Genetic Algorithms |
es_ES |
dc.subject |
Rolling noise |
es_ES |
dc.title |
Rolling noise reduction through GA-based wheel shape optimization techniques |
es_ES |
dc.type |
Capítulo de libro |
es_ES |
dc.type |
Comunicación en congreso |
es_ES |
dc.identifier.doi |
10.4995/YIC2021.2021.12577 |
|
dc.relation.projectID |
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TRA2017-84701-R/ES/DESARROLLO DE UN MODELO INTEGRAL DE INTERACCION VEHICULO%2FVIA EN CURVA PARA LA REDUCCION DEL IMPACTO ACUSTICO DEL TRANSPORTE FERROVIARIO/ |
es_ES |
dc.rights.accessRights |
Abierto |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials |
es_ES |
dc.description.bibliographicCitation |
Garcia-Andrés, X.; Gutiérrez-Gil, J.; Andrés, VT.; Martínez-Casas, J.; Denia, FD. (2022). Rolling noise reduction through GA-based wheel shape optimization techniques. En Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference. Editorial Universitat Politècnica de València. 304-312. https://doi.org/10.4995/YIC2021.2021.12577 |
es_ES |
dc.description.accrualMethod |
OCS |
es_ES |
dc.relation.conferencename |
VI ECCOMAS Young Investigators Conference |
es_ES |
dc.relation.conferencedate |
Julio 07-09, 2021 |
es_ES |
dc.relation.conferenceplace |
Valencia, España |
es_ES |
dc.relation.publisherversion |
http://ocs.editorial.upv.es/index.php/YIC/YIC2021/paper/view/12577 |
es_ES |
dc.description.upvformatpinicio |
304 |
es_ES |
dc.description.upvformatpfin |
312 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.relation.pasarela |
OCS\12577 |
es_ES |
dc.contributor.funder |
Agencia Estatal de Investigación |
es_ES |
dc.contributor.funder |
European Regional Development Fund |
es_ES |