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)

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.

• Share and Export
  

  RefWorksRIS (EndNote Online, Zotero, Ref manager, etc)RDF+XMLEndNoteASCII CitationOpenURL ContextObject in SpanMPEG-21 DIDLRIOXX2 XMLBibTeXAtomEP3 XMLDublin CoreRDF+N-TriplesMODSHTML CitationJSONData Cite XMLRDF+N3Multiline CSVOpenURL ContextObjectReferSimple MetadataMETS
• Item metadata

  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:	Scopus publication Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/61112