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Quantification d'incertitude par propagation spectrale pour le temps de séjour de l'eau dans les réseau

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.identifierUniversity of Adelaide
dc.contributor.authorDEUERLEIN, Jochen
hal.structure.identifierConservatoire National des Arts et Métiers [CNAM] [CNAM]
dc.contributor.authorMORTAZAVI, Iraj
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
dc.contributor.authorIOLLO, Angelo
dc.date.accessioned2024-04-04T02:54:44Z
dc.date.available2024-04-04T02:54:44Z
dc.date.issued2020
dc.identifier.issn1464-7141
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192298
dc.description.abstractEnWater distribution networks are critical infrastructures that should ensure the reliable supply of high quality potable water to its users. Numerical models of these networks are generally governed by many parameters for which the exact value is not known. This may be due to a lack of precise knowledge like for consumer demand or due to a lack of accessibility as for the pipe roughness. For network managers, the effect of these uncertainties on the network state is important information that supports them in the decision-making process. This effect is generally evaluated by propagating the uncertainties using the mathematical model. In the past, perturbation, fuzzy and stochastic collocation methods have been used for uncertainty propagation. However, these methods are limited either in the accuracy of the results or the computational effort of the necessary calculations. This paper uses an alternative spectral approach that uses the polynomial chaos expansion and has the potential to give results of comparable accuracy to the Monte Carlo sampling through the definition of a stochastic model. This approach is applied to the hydraulic model of two real networks in order to evaluate the influence of uncertain demands on the water age.
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.publisherIWA Publishing
dc.subjectQuantification d'incertitude
dc.subjectRéseau réel
dc.subjectDistribution multimodale
dc.subject.enMultimodal distribution
dc.subject.enReal network
dc.subject.enUncertainty quantification
dc.subject.enWater age
dc.subject.enWaterdistribution systems
dc.titleQuantification d'incertitude par propagation spectrale pour le temps de séjour de l'eau dans les réseau
dc.title.enUncertainty Quantification of Water Age in Water Supply Systems by use of Spectral Propagation
dc.typeArticle de revue
dc.identifier.doi10.2166/hydro.2019.017
dc.subject.halMathématiques [math]
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.journalJournal of Hydroinformatics
bordeaux.page111-120
bordeaux.volume22
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02609486
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02609486v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Quantification%20d'incertitude%20par%20propagation%20spectrale%20pour%20le%20temps%20de%20s%C3%A9jour%20de%20l'eau%20dans%20les%20r%C3%A9seau&rft.atitle=Quantification%20d'incertitude%20par%20propagation%20spectrale%20pour%20le%20temps%20de%20s%C3%A9jour%20de%20l'eau%20dans%20les%20r%C3%A9seau&rft.jtitle=Journal%20of%20Hydroinformatics&rft.date=2020&rft.volume=22&rft.issue=1&rft.spage=111-120&rft.epage=111-120&rft.eissn=1464-7141&rft.issn=1464-7141&rft.au=BRAUN,%20Mathias&PILLER,%20Olivier&DEUERLEIN,%20Jochen&MORTAZAVI,%20Iraj&IOLLO,%20Angelo&rft.genre=article


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