A stochastic multiscale framework for modeling flow through random heterogeneous porous media

Journal of Computational Physics

Volumn 228, Issue 2, 2009, Pages 591-618

  Ganapathysubramanian, B ^a   Zabaras, N ^a  

^a School of Operations Research and Industrial Engineering   (United States)

Author keywords

Collocation methods; Data driven modeling; Manifold learning; Mixed finite elements; Non linear model reduction; Scalable algorithms; Sparse grids; Stochastic partial differential equations; Variational multiscale methods

Indexed keywords

FINITE ELEMENT METHOD; NONLINEAR SYSTEMS; PARTIAL DIFFERENTIAL EQUATIONS; POROUS MATERIALS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

COLLOCATION METHOD; DATA-DRIVEN MODEL; MANIFOLD LEARNING; MIXED FINITE ELEMENTS; MODEL REDUCTION; NON-LINEAR MODEL REDUCTION; NON-LINEAR MODELLING; SCALABLE ALGORITHMS; SPARSE GRID; STOCHASTIC PARTIAL DIFFERENTIAL EQUATION; VARIATIONAL MULTISCALE METHODS;

RANDOM PROCESSES;

EID: 56549095466     PISSN: 00219991     EISSN: 10902716     Source Type: Journal    
DOI: 10.1016/j.jcp.2008.10.006     Document Type: Article

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