An approach to quantify uncertainty in linear three-dimensional magnetostatic problems with correlated random reluctivities is proposed. Such strategy is based on a reduced-order model and a spectral approximation of the deterministic parametric magnetostatic problem for accurately and efficiently estimating the statistics of the quantities of interest.

Uncertainty quantification in linear magnetostatic problems with correlated random reluctivities

CODECASA, LORENZO;DI RIENZO, LUCA
2017-01-01

Abstract

An approach to quantify uncertainty in linear three-dimensional magnetostatic problems with correlated random reluctivities is proposed. Such strategy is based on a reduced-order model and a spectral approximation of the deterministic parametric magnetostatic problem for accurately and efficiently estimating the statistics of the quantities of interest.
2017
Uncertainty quantification, magnetostatics, finite integration technique
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1034489
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