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Autonomic closure for turbulence simulations.

Ryan N King1, Peter E Hamlington1, Werner J A Dahm2

  • 1Department of Mechanical Engineering, University of Colorado, Boulder, Colorado 80309, USA.

Physical Review. E
|April 15, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an autonomic turbulence closure that self-optimizes, adapting to complex flow conditions without predefined models. Simple implementations show superior accuracy in large eddy simulations compared to traditional methods.

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Area of Science:

  • Computational Fluid Dynamics
  • Turbulence Modeling
  • Adaptive Systems

Background:

  • Traditional turbulence models require predefined structures, limiting adaptability.
  • Existing dynamic models struggle with complex, nonequilibrium flow characteristics.

Purpose of the Study:

  • To present a novel, fully adaptive, and self-optimizing turbulence closure method.
  • To eliminate the need for predefined turbulence models in simulations.

Main Methods:

  • Developed an autonomic closure solving a nonlinear, nonparametric system identification problem.
  • The simulation determines optimal local, instantaneous relations for unclosed terms.
  • Implemented a simple version for large eddy simulations (LES).

Main Results:

  • The autonomic closure adapts freely to nonlinear, nonlocal, and nonequilibrium turbulence.
  • Demonstrated remarkably more accurate results in a priori tests compared to dynamic traditional closures.
  • Showcased the effectiveness of a simple implementation for LES.

Conclusions:

  • The proposed autonomic closure offers a more flexible and accurate approach to turbulence modeling.
  • This method overcomes limitations of traditional and dynamic turbulence closures.
  • It paves the way for more robust and adaptive CFD simulations.