Une approche spectrale pour la quantification d'incertitude des réseaux de distribution d'eau potable
IOLLO, Angelo
Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
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Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
IOLLO, Angelo
Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
< Leer menos
Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
Idioma
en
Article de revue
Este ítem está publicado en
Journal of Water Resources Planning and Management. 2020, vol. 146, n° 3, p. 04019080, 14 pp.
American Society of Civil Engineers
Resumen en inglés
To 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 ...Leer más >
To 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.< Leer menos
Palabras clave
Modélisation
Incertitude
Réseau de distribution d'eau
Simulation
Palabras clave en inglés
Modelling
Water distribution system
Statistical uncertainty
Simulation
Proyecto ANR
Outils, modèles et réseaux sécurisés et innovants de capteurs pour une résilience augmentée des infrastructures liées à l'eau - ANR-14-PICS-0003
Orígen
Importado de HalCentros de investigación