A strategy for uncertainty quantification in electrokinetic problems with correlated random material parameters is proposed. Such approach exploits a reduced-order model and a polynomial spectral approximation of the deterministic parametric electrokinetic problem for accurately and efficiently estimating the statistics of the quantities of interest by Monte Carlo analysis.
MOR-based approach to uncertainty quantification in electrokinetics with correlated random material parameters
CODECASA, LORENZO;DI RIENZO, LUCA
2017-01-01
Abstract
A strategy for uncertainty quantification in electrokinetic problems with correlated random material parameters is proposed. Such approach exploits a reduced-order model and a polynomial spectral approximation of the deterministic parametric electrokinetic problem for accurately and efficiently estimating the statistics of the quantities of interest by Monte Carlo analysis.File in questo prodotto:
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