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Numerical methods to predict vibration serviceability on high frequency stairs

2021Journal article Open access
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dc.contributor.authorAndrade, P.
dc.contributor.authorSantos, José
dc.contributor.authorEscórcio, P.
dc.date.accessioned2022-03-15T10:03:01Z
dc.date.available2022-03-15T10:03:01Z
dc.date.issued2021
dc.description.abstractWith the increasingly deepen knowledge on structural dynamic behaviour, nowadays, monumental staircases and their steps are usually designed with high stiffness and low mass, obtaining high fundamental frequencies, out of the interval of step frequencies excitable by the human walking. However, neglecting the structure's mass can also result in with high levels of impulsive responses. Furthermore, often the connection between the staircase and its steps experience an almost null rotational stiffness, which can cause local vibrations in steps, where the structural behaviour of two elements is nearly independent from each other. In this scenario, steps will most likely exhibit undesirable vibrations. Hence, intending to improve future designs, this paper compares different numerical methods that can be used to predict human induced vibrations in this type of structures, applying them to a real staircase with a high local liveness. The results showed that the footfall force time histories method could realistically predict the vibrations for almost all tested step frequencies, while the effective impulse could accurately estimate the vibrations for descents at different step frequencies. The walking models defined by Fourier coefficients only generated close vibrations for descents at 3.3 Hz.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAndrade, P., Santos, J., & Escórcio, P. (2021, February). Numerical methods to predict vibration serviceability on high frequency stairs. In Journal of Physics: Conference Series (Vol. 1777, No. 1, p. 012061). IOP Publishing. doi:10.1088/1742-6596/1777/1/012061pt_PT
dc.identifier.doi10.1088/1742-6596/1777/1/012061pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4141
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIOP Publishingpt_PT
dc.relationInstitute of R&D in Structures and Construction
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectStairspt_PT
dc.subjectNumerical methodspt_PT
dc.subjectPredict vibrationpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleNumerical methods to predict vibration serviceability on high frequency stairspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstitute of R&D in Structures and Construction
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04708%2F2020/PT
oaire.citation.issue1pt_PT
oaire.citation.startPage012061pt_PT
oaire.citation.titleJournal of Physics: Conference Seriespt_PT
oaire.citation.volume1777pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMARTINS NETO DOS SANTOS
person.familyNameEscórcio
person.givenNameJOSÉ MANUEL
person.givenNamePatrícia Carlota Costa
person.identifier.ciencia-idDE1C-64E5-4284
person.identifier.ciencia-idF41E-9118-47EE
person.identifier.orcid0000-0002-0038-162X
person.identifier.ridA-8313-2016
person.identifier.scopus-author-id54997983600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication51688d6c-d5b7-495d-beab-85bc284ce3d7
relation.isAuthorOfPublication.latestForDiscovery51688d6c-d5b7-495d-beab-85bc284ce3d7
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