Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/85492

TítuloModal identification of train passenger seats based on dynamic tests and output-only techniques
Autor(es)Silva, Patricia
Ribeiro, Diogo
Mendes, Joaquim
Seabra, Eurico
Palavras-chavePassenger train seat
Dynamic tests
Modal identification
Transmissibility
EFDD
Data10-Fev-2023
EditoraMultidisciplinary Digital Publishing Institute
RevistaApplied Sciences
CitaçãoSilva, 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
Resumo(s)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).
TipoArtigo
URIhttps://hdl.handle.net/1822/85492
DOI10.3390/app13042277
e-ISSN2076-3417
Versão da editorahttps://www.mdpi.com/2076-3417/13/4/2277
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:BUM - MDPI

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Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

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