Autonomic closure for turbulence simulations

Ryan N. King, Peter E. Hamlington, Werner Dahm

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

A new approach to turbulence closure is presented that eliminates the need to specify a predefined turbulence model and instead provides for fully adaptive, self-optimizing, autonomic closures. The closure is autonomic in the sense that the simulation itself determines the optimal local, instantaneous relation between any unclosed term and resolved quantities through the solution of a nonlinear, nonparametric system identification problem. This nonparametric approach allows the autonomic closure to freely adapt to varying nonlinear, nonlocal, nonequilibrium, and other turbulence characteristics in the flow. Even a simple implementation of the autonomic closure for large eddy simulations provides remarkably more accurate results in a priori tests than do dynamic versions of traditional prescribed closures.

Original languageEnglish (US)
Article number031301
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume93
Issue number3
DOIs
StatePublished - Mar 14 2016

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Statistics and Probability

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