2024
DOI: 10.1016/j.ast.2024.109014
|View full text |Cite
|
Sign up to set email alerts
|

Simulation of supersonic axisymmetric base flow with a data-driven turbulence model

Seoyeon Heo,
Yeji Yun,
Minjae Jeong
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 35 publications
0
1
0
Order By: Relevance
“…But it always lacks sufficient accuracy in the prediction of unsteady flows which are usually accompanied by massively separated turbulence flows, largely due to its neglect of the strong nonequilibrium effect of turbulence in supersonic separated flows. Other recent advances in RANS models include data-driven models (Heo et al ., 2024) and APG/separation correction (Wang et al ., 2024), which both achieve significant improvements in prediction RANS performance by adjusting a net balance between the production and destruction terms in the RANS equation. Large eddy simulation (LES) (Das and De, 2015) has improved the accuracy in predicting the unsteady flow structures near the wake and sufficiently accurate results are obtained.…”
Section: Introductionmentioning
confidence: 99%
“…But it always lacks sufficient accuracy in the prediction of unsteady flows which are usually accompanied by massively separated turbulence flows, largely due to its neglect of the strong nonequilibrium effect of turbulence in supersonic separated flows. Other recent advances in RANS models include data-driven models (Heo et al ., 2024) and APG/separation correction (Wang et al ., 2024), which both achieve significant improvements in prediction RANS performance by adjusting a net balance between the production and destruction terms in the RANS equation. Large eddy simulation (LES) (Das and De, 2015) has improved the accuracy in predicting the unsteady flow structures near the wake and sufficiently accurate results are obtained.…”
Section: Introductionmentioning
confidence: 99%