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dc.contributor.authorWei, X
dc.contributor.authorZhang, J
dc.contributor.authorZhou, H
dc.contributor.authorZivanovic, S
dc.date.accessioned2022-06-20T11:56:37Z
dc.date.issued2022-06-22
dc.date.updated2022-06-20T11:02:26Z
dc.description.abstractThis paper aims to provide a novel insight into the influence of uncertainties in system and pedestrian-induced load parameters on the vibration response of footbridges. The study begins with sensitivity analysis for the vertical vibration response of a representative footbridge to two loading cases: a single pedestrian and a crowd. The two methods are utilised: the Sobol’-based global sensitivity analysis method and local sensitivity analysis method. Uncertainties in all model parameters (that include bridge and human body dynamics in walking posture as well as dynamic force generated by humans) are considered in stochastic response estimation. Parametric analysis is then performed to investigate the influence of the variation of the mean values of bridge modal mass, damping ratio, and natural frequency on the results of global and local sensitivity analysis. Systematic comparison of the results of global and local sensitivity analysis is performed to identify their similarities and differences. It has been found that the sensitive parameters and their importance ranking strongly depend on bridge modal properties and loading scenarios (i.e. a single pedestrian or a crowd crossing). The damping ratio and natural frequency of human body are found to be the only two insensitive parameters. Therefore, they could be treated as deterministic parameters in stochastic estimation of human-induced vibration. Global sensitivity analysis is recommended as a choice for the sensitivity analysis of pedestrian-induced vibration of footbridges as it leads to more reliable results, owing to the advantage of characterising model sensitivity over the entire input spaces.en_GB
dc.description.sponsorshipNational Natural Science Foundation of China
dc.description.sponsorshipFundamental Research Funds for the Central Universities, China
dc.identifier.citationVol. 12 (7), article 883en_GB
dc.identifier.doi10.3390/buildings12070883
dc.identifier.grantnumber2020CX035
dc.identifier.grantnumber52178181
dc.identifier.urihttp://hdl.handle.net/10871/129990
dc.identifierORCID: 0000-0001-9888-3806 (Zivanovic, Stana)
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.subjectGlobal sensitivity analysisen_GB
dc.subjectLocal sensitivity analysisen_GB
dc.subjectSobol’ methoden_GB
dc.subjectPedestrian-induced vibrationen_GB
dc.subjectFootbridgeen_GB
dc.subjectUncertaintyen_GB
dc.titleSensitivity analysis for pedestrian-induced vibration in footbridgesen_GB
dc.typeArticleen_GB
dc.date.available2022-06-20T11:56:37Z
dc.identifier.issn2075-5309
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.descriptionData Availability Statement: Data are contained within the article. Additional supporting data presented in this study are available upon request from the corresponding authors.
dc.identifier.journalBuildingsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-06-20
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-06-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-06-20T11:02:28Z
refterms.versionFCDAM
refterms.dateFOA2022-07-01T12:56:56Z
refterms.panelBen_GB


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).