Multidimensional quantification of uncertainty and application to a turbulent mixing model

Barmparousis, Christos and Drikakis, Dimitris (2017) Multidimensional quantification of uncertainty and application to a turbulent mixing model. International Journal for Numerical Methods in Fluids, 85 (7). pp. 385-403. ISSN 0271-2091 (https://doi.org/10.1002/fld.4385)

[thumbnail of Barmparousis-Drikakis-IJNMF2017-Multidimensional-quantification-of-uncertainty-and-application]
Preview
 Text. Filename: Barmparousis_Drikakis_IJNMF2017_Multidimensional_quantification_of_uncertainty_and_application.pdf
Accepted Author Manuscript
Download (1MB)| Preview

Abstract

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.

  • Item type:Article
    ID code:61112
    Dates:
    Date
    Event
    10 November 2017
    Published
    11 May 2017
    Published Online
    27 March 2017
    Accepted
    Notes:This is the peer reviewed version of the following article: Barmparousis, C & Drikakis, D 2017, 'Multidimensional quantification of uncertainty and application to a turbulent mixing model' International Journal for Numerical Methods in Fluids , pp. 1-19., which has been published in final form at https://doi.org/10.1002/fld.4385. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
    Subjects:Technology > Mechanical engineering and machinery
    Department:Faculty of Engineering
    Depositing user: Pure Administrator
    Date deposited:27 Jun 2017 10:52
    Last modified:11 Nov 2024 11:44
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/61112
CORE (COnnecting REpositories)