Efficient methods for quantification of uncertainty in description of groundwater flow through random materials

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00209416" target="_blank" >RIV/68407700:21110/13:00209416 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Efficient methods for quantification of uncertainty in description of groundwater flow through random materials

Popis výsledku v původním jazyce

The prediction of groundwater flow is strongly influenced by the soil permeability generally varying within the space. Determination of the spatial distribution of the permeability is, however, unfeasible and thus the relevant uncertainties should be taken into account. One possibility is to describe the soil permeability by a random field. The present contribution is devoted to propagation of these uncertainties in permeability into probabilistic description of groundwater flow. A central challenge ofuncertainty propagation consists in large number of forward model evaluations required by Monte Carlo sampling of model response. With complex forward models, such as those described by partial differential equations, each single evaluation can be computationally expensive. One possible way to overcome this problem is to express the response in polynomial chaos expansion (PCE) providing a fast forward surrogate. In this contribution, we present a comparison of the two methods for constru

Název v anglickém jazyce

Efficient methods for quantification of uncertainty in description of groundwater flow through random materials

Popis výsledku anglicky

The prediction of groundwater flow is strongly influenced by the soil permeability generally varying within the space. Determination of the spatial distribution of the permeability is, however, unfeasible and thus the relevant uncertainties should be taken into account. One possibility is to describe the soil permeability by a random field. The present contribution is devoted to propagation of these uncertainties in permeability into probabilistic description of groundwater flow. A central challenge ofuncertainty propagation consists in large number of forward model evaluations required by Monte Carlo sampling of model response. With complex forward models, such as those described by partial differential equations, each single evaluation can be computationally expensive. One possible way to overcome this problem is to express the response in polynomial chaos expansion (PCE) providing a fast forward surrogate. In this contribution, we present a comparison of the two methods for constru

Druh

O - Ostatní výsledky

CEP obor

JM - Inženýrské stavitelství

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů