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Multidimensional quantification of uncertainty and application to a turbulent mixing model
Author(s) -
Barmparousis Christos,
Drikakis Dimitris
Publication year - 2017
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.4385
Subject(s) - mixing (physics) , turbulence , computational fluid dynamics , uncertainty quantification , statistical physics , mechanics , environmental science , mathematics , meteorology , physics , statistics , quantum mechanics
Summary This paper concerns the implementation of the generalized polynomial chaos (gPC) approach for parametric studies, including the quantification of uncertainty (UQ), of turbulence modelling. The method is applied to Richtmyer‐Meshkov turbulent mixing. The K − L turbulence model has been chosen as a prototypical example, and parametric studies have been performed to examine the effects of closure coefficients and initial conditions on the flow results. It is shown that the proposed method can be used to obtain a relation between the uncertain inputs and the monitored flow quantities, thus efficiently performing parametric studies. It allows the simultaneous calibration and quantification of uncertainty in an efficient numerical framework.