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hal.structure.identifierEnvironnement, territoires et infrastructures [UR ETBX]
dc.contributor.authorBRAUN, Mathias
hal.structure.identifierEnvironnement, territoires et infrastructures [UR ETBX]
dc.contributor.authorPILLER, Olivier
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
dc.contributor.authorIOLLO, Angelo
hal.structure.identifierCentre d'enseignement Cnam Paris [CNAM Paris]
dc.contributor.authorMORTAZAVI, Iraj
dc.date.accessioned2024-04-04T02:55:11Z
dc.date.available2024-04-04T02:55:11Z
dc.date.created2020
dc.date.issued2020
dc.identifier.issn0733-9496
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192341
dc.description.abstractEnTo date, the hydraulics of water distribution networks are calculated using deterministic models. Because many of the parameters in these models are not known exactly, it is important to evaluate the effects of their uncertainties on the results through uncertainty analysis. For the propagation of uncertain parameters, this article for the first time applies the polynomial chaos expansion to a hydraulic model and compares the results with those from classical approaches like the first-order second-moment method and Monte Carlo simulations. Results presented in this article show that the accuracy of the polynomial chaos expansion is on the same level as the Monte Carlo simulation. Further, it is concluded that due to its computational efficiency, polynomial chaos expansion is superior to the Monte Carlo simulation.
dc.description.sponsorshipOutils, modèles et réseaux sécurisés et innovants de capteurs pour une résilience augmentée des infrastructures liées à l'eau - ANR-14-PICS-0003
dc.language.isoen
dc.publisherAmerican Society of Civil Engineers
dc.subjectModélisation
dc.subjectIncertitude
dc.subjectRéseau de distribution d'eau
dc.subjectSimulation
dc.subject.enModelling
dc.subject.enWater distribution system
dc.subject.enStatistical uncertainty
dc.subject.enSimulation
dc.titleUne approche spectrale pour la quantification d'incertitude des réseaux de distribution d'eau potable
dc.title.enA Spectral Approach to Uncertainty Quantification in Water Distribution Networks
dc.typeArticle de revue
dc.identifier.doi10.1061/(ASCE)WR.1943-5452.0001138
dc.subject.halMathématiques [math]
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.journalJournal of Water Resources Planning and Management
bordeaux.page04019080, 14 pp.
bordeaux.volume146
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02511730
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02511730v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Une%20approche%20spectrale%20pour%20la%20quantification%20d'incertitude%20des%20r%C3%A9seaux%20de%20distribution%20d'eau%20potable&rft.atitle=Une%20approche%20spectrale%20pour%20la%20quantification%20d'incertitude%20des%20r%C3%A9seaux%20de%20distribution%20d'eau%20potable&rft.jtitle=Journal%20of%20Water%20Resources%20Planning%20and%20Management&rft.date=2020&rft.volume=146&rft.issue=3&rft.spage=04019080,%2014%20pp.&rft.epage=04019080,%2014%20pp.&rft.eissn=0733-9496&rft.issn=0733-9496&rft.au=BRAUN,%20Mathias&PILLER,%20Olivier&IOLLO,%20Angelo&MORTAZAVI,%20Iraj&rft.genre=article


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