Compressibility Correction to the k−ω Turbulence Model that Considers the Wall-Cooling Effect

In supersonic and hypersonic flows, the near-wall density variation due to wall cooling poses a challenge for accurately predicting the near-wall velocity and temperature profiles using classical eddy viscosity turbulence models. Compressible turbulent boundary layers are known to follow the universal wall law via semilocal transformation. However, developing a turbulence model that predicts a velocity profile, which, via semilocal transformation, follows the universal wall law, remains challenging. The current paper builds upon Danis–Durbin’s practice of modifying the [Formula: see text] equation and proposes a simple modification to the [Formula: see text] two-equation model. The formulation of the proposed modification involves dimensional analysis and the proper selection of the local length scale. The newly introduced modification is used to modify the slope of the velocity profile starting from the viscous layer to above. It recovers a semilocal scaling of turbulent kinetic energy, viscosity, and eddy frequency, then achieves a very decent correction of the velocity profile in compressible turbulent channel flows, satisfying the universal wall law after applying Trettel and Larsson’s transformation. The proposed new [Formula: see text] model can also improve the velocity and temperature predictions in strongly wall-cooled zero-pressure-gradient hypersonic turbulent boundary layers, compared to the original [Formula: see text] model. Validation using the favorable and adverse pressure gradient boundary layers suggests that the model does not impose a negative effect on the original [Formula: see text] model.

Authors

Institutions

Publication Details

Journal
AIAA Journal
Published
2025-10-13
DOI
https://doi.org/10.2514/1.j065875
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Compressibility Correction to the k−ω Turbulence Model that Considers the Wall-Cooling Effect

Zifei Yin
AIAA Journal
Computational Fluid Dynamics and Aerodynamics
article

Compressibility Correction to the k−ω Turbulence Model that Considers the Wall-Cooling Effect

Zifei Yin
article en

Abstract

In supersonic and hypersonic flows, the near-wall density variation due to wall cooling poses a challenge for accurately predicting the near-wall velocity and temperature profiles using classical eddy viscosity turbulence models. Compressible turbulent boundary layers are known to follow the universal wall law via semilocal transformation. However, developing a turbulence model that predicts a velocity profile, which, via semilocal transformation, follows the universal wall law, remains challenging. The current paper builds upon Danis–Durbin’s practice of modifying the [Formula: see text] equation and proposes a simple modification to the [Formula: see text] two-equation model. The formulation of the proposed modification involves dimensional analysis and the proper selection of the local length scale. The newly introduced modification is used to modify the slope of the velocity profile starting from the viscous layer to above. It recovers a semilocal scaling of turbulent kinetic energy, viscosity, and eddy frequency, then achieves a very decent correction of the velocity profile in compressible turbulent channel flows, satisfying the universal wall law after applying Trettel and Larsson’s transformation. The proposed new [Formula: see text] model can also improve the velocity and temperature predictions in strongly wall-cooled zero-pressure-gradient hypersonic turbulent boundary layers, compared to the original [Formula: see text] model. Validation using the favorable and adverse pressure gradient boundary layers suggests that the model does not impose a negative effect on the original [Formula: see text] model.

AIAA JournalVol. 64(3)
Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 69%
Computational Fluid Dynamics and Aerodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Compressibility Correction to the k−ω Turbulence Model that Considers the Wall-Cooling Effect — Zifei Yin · AIAA Journal (2025) | TGRS Research Map | TGRS