A reduced-order model for Monte Carlo simulations of stochastic groundwater flow

DOI10.1007/s10596-013-9389-4zbMath1393.76084OpenAlexW2037652296WikidataQ62925862 ScholiaQ62925862MaRDI QIDQ1663649

Damiano Pasetto, Alberto Guadagnini, Mario Putti

Publication date: 22 August 2018

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10278/3722943

zbMATH Keywords

greedy algorithmMonte Carlo simulationsreduced-order modelgroundwater hydrologyrandomly heterogeneous transmissivity

Mathematics Subject Classification ID

Random fields (60G60) Monte Carlo methods (65C05) Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Computational methods for problems pertaining to geophysics (86-08)

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Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties, Proper orthogonal decomposition and Monte Carlo based isogeometric stochastic method for material, geometric and force multi-dimensional uncertainties

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