Modal identification of train passenger seats based on dynamic tests and output-only techniques
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/85492 |
Resumo: | Railways are one of the most efficient and widely used mass transportation systems for mid-range distances, also being pointed out as the best strategy to reach European Union decarbonisation goals. However, to increase railways attractiveness, it is necessary to improve the quality of the ride, namely its comfort, by decreasing the vibration at the passenger level. This article describes the experimental vibration modal identification of train seats based on a dedicated set of dynamic tests performed on Alfa Pendular and Intercity trains. This work uses two output-only modal identification techniques: the transmissibility functions and the Enhanced Frequency Domain Decomposition (EFDD) method. The last method allows us to clearly distinguish the seat structural movements, particularly the ones related to torsion and bending of the seat frame, from the local vertical foam vibrations. The natural frequencies and mode shapes are validated by matching the results derived from the transmissibility functions and EFDD method. The identified modal parameters are particularly relevant to characterise the vibration transmissibility provided by the foams (local transmissibility) and the vibration transmissibility derived from the metallic seat frame (global transmissibility). |
id |
RCAP_a7f22e69a927080da40e03a9a0ebc004 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/85492 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Modal identification of train passenger seats based on dynamic tests and output-only techniquesPassenger train seatDynamic testsModal identificationTransmissibilityEFDDScience & TechnologyRailways are one of the most efficient and widely used mass transportation systems for mid-range distances, also being pointed out as the best strategy to reach European Union decarbonisation goals. However, to increase railways attractiveness, it is necessary to improve the quality of the ride, namely its comfort, by decreasing the vibration at the passenger level. This article describes the experimental vibration modal identification of train seats based on a dedicated set of dynamic tests performed on Alfa Pendular and Intercity trains. This work uses two output-only modal identification techniques: the transmissibility functions and the Enhanced Frequency Domain Decomposition (EFDD) method. The last method allows us to clearly distinguish the seat structural movements, particularly the ones related to torsion and bending of the seat frame, from the local vertical foam vibrations. The natural frequencies and mode shapes are validated by matching the results derived from the transmissibility functions and EFDD method. The identified modal parameters are particularly relevant to characterise the vibration transmissibility provided by the foams (local transmissibility) and the vibration transmissibility derived from the metallic seat frame (global transmissibility).This research was funded by Fundação para a Ciência e Tecnologia grant number PD/BD/143161/2019. The authors also acknowledge the financial support from the Base Funding-UIDB/04708/2020 and Programmatic Funding-UIDP/04708/2020 of the CONSTRUCT—Instituto de Estruturas e Construções, funded by national funds through the FCT/MCTES (PIDDAC).This work is a result of project “FERROVIA 4.0”, with reference POCI-01-0247-FEDER-046111, co-funded by the European Regional Development Fund (ERDF), through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020) and the Lisbon Regional Operational Programme (LISBOA 2020), under the PORTUGAL 2020 Partnership Agreement. The first author thanks Fundação para a Ciência e Tecnologia (FCT) for a PhD scholarship under the project iRail (PD/BD/143161/2019). The authors would like to acknowledge the support of the projects FCT LAETA–UIDB/50022/2020, and UIDB/04077/2020. Finally, the authors express their gratitude to Nuno Pinto, from the LESE-FEUP laboratory, for his great assistance during the preparation of the experimental tests.Multidisciplinary Digital Publishing InstituteUniversidade do MinhoSilva, PatriciaRibeiro, DiogoMendes, JoaquimSeabra, Eurico2023-02-102023-02-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/85492engSilva, P.; Ribeiro, D.; Mendes, J.; Seabra, E. Modal Identification of Train Passenger Seats Based on Dynamic Tests and Output-Only Techniques. Appl. Sci. 2023, 13, 2277. https://doi.org/10.3390/app130422772076-341710.3390/app13042277https://www.mdpi.com/2076-3417/13/4/2277info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:16:52Zoai:repositorium.sdum.uminho.pt:1822/85492Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:09:28.414699Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Modal identification of train passenger seats based on dynamic tests and output-only techniques |
title |
Modal identification of train passenger seats based on dynamic tests and output-only techniques |
spellingShingle |
Modal identification of train passenger seats based on dynamic tests and output-only techniques Silva, Patricia Passenger train seat Dynamic tests Modal identification Transmissibility EFDD Science & Technology |
title_short |
Modal identification of train passenger seats based on dynamic tests and output-only techniques |
title_full |
Modal identification of train passenger seats based on dynamic tests and output-only techniques |
title_fullStr |
Modal identification of train passenger seats based on dynamic tests and output-only techniques |
title_full_unstemmed |
Modal identification of train passenger seats based on dynamic tests and output-only techniques |
title_sort |
Modal identification of train passenger seats based on dynamic tests and output-only techniques |
author |
Silva, Patricia |
author_facet |
Silva, Patricia Ribeiro, Diogo Mendes, Joaquim Seabra, Eurico |
author_role |
author |
author2 |
Ribeiro, Diogo Mendes, Joaquim Seabra, Eurico |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, Patricia Ribeiro, Diogo Mendes, Joaquim Seabra, Eurico |
dc.subject.por.fl_str_mv |
Passenger train seat Dynamic tests Modal identification Transmissibility EFDD Science & Technology |
topic |
Passenger train seat Dynamic tests Modal identification Transmissibility EFDD Science & Technology |
description |
Railways are one of the most efficient and widely used mass transportation systems for mid-range distances, also being pointed out as the best strategy to reach European Union decarbonisation goals. However, to increase railways attractiveness, it is necessary to improve the quality of the ride, namely its comfort, by decreasing the vibration at the passenger level. This article describes the experimental vibration modal identification of train seats based on a dedicated set of dynamic tests performed on Alfa Pendular and Intercity trains. This work uses two output-only modal identification techniques: the transmissibility functions and the Enhanced Frequency Domain Decomposition (EFDD) method. The last method allows us to clearly distinguish the seat structural movements, particularly the ones related to torsion and bending of the seat frame, from the local vertical foam vibrations. The natural frequencies and mode shapes are validated by matching the results derived from the transmissibility functions and EFDD method. The identified modal parameters are particularly relevant to characterise the vibration transmissibility provided by the foams (local transmissibility) and the vibration transmissibility derived from the metallic seat frame (global transmissibility). |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-02-10 2023-02-10T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/85492 |
url |
https://hdl.handle.net/1822/85492 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silva, P.; Ribeiro, D.; Mendes, J.; Seabra, E. Modal Identification of Train Passenger Seats Based on Dynamic Tests and Output-Only Techniques. Appl. Sci. 2023, 13, 2277. https://doi.org/10.3390/app13042277 2076-3417 10.3390/app13042277 https://www.mdpi.com/2076-3417/13/4/2277 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799132519901167616 |