Multidimensional quantification of uncertainty and application to a turbulent mixing model

Christos Barmparousis, Dimitris Drikakis

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)385-403
Number of pages19
JournalInternational Journal for Numerical Methods in Fluids
Issue number7
Publication statusPublished - 10 Nov 2017


  • calibration
  • compressible flows
  • meta-model
  • optimisation
  • polynomial chaos
  • sensitivity
  • turbulence modelling
  • uncertainty quantification


Dive into the research topics of 'Multidimensional quantification of uncertainty and application to a turbulent mixing model'. Together they form a unique fingerprint.

Cite this