Analysis of the Impact of Curvature Correction Factor fc on the Flow Past a Two-Dimensional Bluff Body

This paper presents an improved k-ω SST turbulence model to enhance the simulation accuracy of Bluff Body Bypassing Problems (BBBPs) within the Reynolds-Averaged Navier–Stokes (RANS) framework. Although RANS methods are computationally efficient, they are limited in resolving instantaneous turbulent fluctuations, which often results in significant errors when predicting turbulent kinetic energy variations in complex flows. To address this, a curvature correction factor (fc) is introduced into the production term (Pk) of the turbulent kinetic energy equation. This factor is derived from the local fluid rotational rate, enabling the model to better account for streamline curvature effects and unsteady vortex dynamics. The modified model, along with the baseline k-ω SST formulation, is applied to two-dimensional (2D) square column flow cases. Numerical results show that the corrected model significantly improves predictive accuracy, reducing the error in the time-averaged drag coefficient (CD) from 24% to 8.3%, thereby demonstrating its effectiveness in capturing key flow characteristics around bluff bodies.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-08-28
DOI
https://doi.org/10.3390/jmse13091650
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
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article

Analysis of the Impact of Curvature Correction Factor fc on the Flow Past a Two-Dimensional Bluff Body

Yanfang Liu, Zhiqiang Hu, Yuan Sun, Shaobo Li et al.
Journal of Marine Science and Engineering
Wind and Air Flow Studies
article

Analysis of the Impact of Curvature Correction Factor fc on the Flow Past a Two-Dimensional Bluff Body

Yanfang Liu, Zhiqiang Hu, Yuan Sun, Shaobo Li, Shuo Li
article en

Abstract

This paper presents an improved k-ω SST turbulence model to enhance the simulation accuracy of Bluff Body Bypassing Problems (BBBPs) within the Reynolds-Averaged Navier–Stokes (RANS) framework. Although RANS methods are computationally efficient, they are limited in resolving instantaneous turbulent fluctuations, which often results in significant errors when predicting turbulent kinetic energy variations in complex flows. To address this, a curvature correction factor (fc) is introduced into the production term (Pk) of the turbulent kinetic energy equation. This factor is derived from the local fluid rotational rate, enabling the model to better account for streamline curvature effects and unsteady vortex dynamics. The modified model, along with the baseline k-ω SST formulation, is applied to two-dimensional (2D) square column flow cases. Numerical results show that the corrected model significantly improves predictive accuracy, reducing the error in the time-averaged drag coefficient (CD) from 24% to 8.3%, thereby demonstrating its effectiveness in capturing key flow characteristics around bluff bodies.

Journal of Marine Science and EngineeringVol. 13(9)
Shenyang Institute of Automation (CN), Ningbo University of Technology (CN), Chinese Academy of Sciences (CN), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 79%
Wind and Air Flow Studies
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