Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102551
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorDuan, HFen_US
dc.creatorChe, TCen_US
dc.creatorLee, PJen_US
dc.creatorGhidaoui, MSen_US
dc.date.accessioned2023-10-26T07:19:24Z-
dc.date.available2023-10-26T07:19:24Z-
dc.identifier.issn0022-1686en_US
dc.identifier.urihttp://hdl.handle.net/10397/102551-
dc.language.isoenen_US
dc.publisherTaylor & Francis published on behalf of the International Association for Hydro-Environment Engineering and Researchen_US
dc.rights© 2018 International Association for Hydro-Environment Engineering and Researchen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Hydraulic Research on 26 Feb 2018 (published online), available at: http://www.tandfonline.com/10.1080/00221686.2017.1399936.en_US
dc.subjectNonlinear turbulent frictionen_US
dc.subjectRelative importanceen_US
dc.subjectSystem frequency responseen_US
dc.subjectTransfer matrixen_US
dc.subjectTransienten_US
dc.titleInfluence of nonlinear turbulent friction on the system frequency response in transient pipe flow modelling and analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage451en_US
dc.identifier.epage463en_US
dc.identifier.volume56en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1080/00221686.2017.1399936en_US
dcterms.abstractThe system frequency response (SFR) based method has been widely developed and applied for the modelling of transient pipe flow and the assessment of pipeline system conditions. The linearization assumption is commonly imposed for the nonlinear turbulent friction term in the SFR model. Previous studies have demonstrated the impact of the linearization approximation on the accuracy of SFR-based modelling and analysis. This paper aims to improve the traditional SFR-based method by incorporating the nonlinear component of the friction term in a two-step analytical extension of the SFR expression. Numerical comparisons with the method of characteristic (MOC) highlight the improved accuracy that the extended SFR result provides over the traditional approach under various flow conditions.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of hydraulic research, 2018, v. 56, no. 4, p. 451-463en_US
dcterms.isPartOfJournal of hydraulic researchen_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85044035473-
dc.identifier.eissn1814-2079en_US
dc.description.validate202310 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-1756-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6827948-
dc.description.oaCategoryGreen (AAM)en_US
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