Statistical approach for determining parameters of a turbulence model

Hiroshi Kato, Shigeru Obayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this study, a data assimilation technique was applied to determine the values of parameters for a turbulence model, and its effectiveness was investigated. The turbulence model is a system model required in fluid simulation in the engineering field. Almost all turbulence models include parameters to represent turbulence phenomena. To date, however, the values of the parameters were "calibrated" by the model proposers themselves considering some simple assumptions or to correspond to representative turbulent flows, such as the flat plate boundary layer, wake, and mixing layer. This study showed that the values could be determined objectively or statistically by data assimilation techniques and not by subjective "calibration" as performed by the model proposers themselves.

Original languageEnglish
Title of host publication15th International Conference on Information Fusion, FUSION 2012
Pages2452-2457
Number of pages6
Publication statusPublished - 2012 Oct 24
Event15th International Conference on Information Fusion, FUSION 2012 - Singapore, Singapore
Duration: 2012 Sep 72012 Sep 12

Publication series

Name15th International Conference on Information Fusion, FUSION 2012

Other

Other15th International Conference on Information Fusion, FUSION 2012
CountrySingapore
CitySingapore
Period12/9/712/9/12

Keywords

  • Data assimilation
  • Fluid simulation
  • Turbulence model

ASJC Scopus subject areas

  • Information Systems

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