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Propagation spectrale d'incertitudes pour l'âge de l'eau

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.identifier3S CONSULT GMBH KARLSRUHE DEU
dc.contributor.authorDEUERLEIN, Jochen
hal.structure.identifierModélisation mathématique et numérique [M2N]
dc.contributor.authorMORTAZAVI, Iraj
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorIOLLO, Angelo
dc.date.accessioned2024-04-04T03:04:57Z
dc.date.available2024-04-04T03:04:57Z
dc.date.created2018
dc.date.issued2018
dc.date.conference2018-07-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193201
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 true value is unknown. This may be due to a lack of 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 and stochastic collocation methods have been used for uncertainty propagation. However, these methods are limited either in the accuracy of the results or the complexity of the calculation. This paper uses an alternative spectral approach with the polynomial chaos expansion that has the potential to give comparable results to the Monte Carlo sampling through the definition of a stochastic model. This approach is applied to the model of a water distribution network in order to evaluate the influence of uncertain demands on the water age.
dc.language.isoen
dc.publisherEasyChair
dc.subjectANALYSE D'INCERTITUDE
dc.subjectMODELE HYDRAULIQUE
dc.subjectRESEAU DE DISTRIBUTION D'EAU
dc.subjectESTIMATION DE L'AGE
dc.subject.enhydraulic model
dc.subject.enuncertainty analysis
dc.subject.enwater distribution system
dc.titlePropagation spectrale d'incertitudes pour l'âge de l'eau
dc.title.enSpectral Propagation of Uncertainty in Water Age
dc.typeCommunication dans un congrès
dc.identifier.doi10.29007/969c
dc.subject.halMathématiques [math]
dc.subject.halStatistiques [stat]/Machine Learning [stat.ML]
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.page335-342
bordeaux.volume3
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title13th International Conference on Hydroinformatics (HIC 2018)
bordeaux.countryIT
bordeaux.conference.cityPalerme
bordeaux.peerReviewedoui
hal.identifierhal-01891890
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2018-07-06
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01891890v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Propagation%20spectrale%20d'incertitudes%20pour%20l'%C3%A2ge%20de%20l'eau&rft.atitle=Propagation%20spectrale%20d'incertitudes%20pour%20l'%C3%A2ge%20de%20l'eau&rft.date=2018&rft.volume=3&rft.spage=335-342&rft.epage=335-342&rft.au=BRAUN,%20Mathias&PILLER,%20Olivier&DEUERLEIN,%20Jochen&MORTAZAVI,%20Iraj&IOLLO,%20Angelo&rft.genre=unknown


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