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 language | English (US) |
|---|---|
| Article number | 031301 |
| Journal | Physical Review E - Statistical, Nonlinear, and Soft Matter Physics |
| Volume | 93 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 14 2016 |
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ASJC Scopus subject areas
- Condensed Matter Physics
- Statistical and Nonlinear Physics
- Statistics and Probability
Cite this
Autonomic closure for turbulence simulations. / King, Ryan N.; Hamlington, Peter E.; Dahm, Werner.
In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 93, No. 3, 031301, 14.03.2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Autonomic closure for turbulence simulations
AU - King, Ryan N.
AU - Hamlington, Peter E.
AU - Dahm, Werner
PY - 2016/3/14
Y1 - 2016/3/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84962322883&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962322883&partnerID=8YFLogxK
U2 - 10.1103/PhysRevE.93.031301
DO - 10.1103/PhysRevE.93.031301
M3 - Article
AN - SCOPUS:84962322883
VL - 93
JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
SN - 1539-3755
IS - 3
M1 - 031301
ER -