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Detached eddy simulation of turbulent flow fields over steep hilly terrain
Abstract The verification and validation (V&V) of multi-fidelity turbulence models is crucial for the efficient and reliable industrial application of computational fluid dynamics (CFD). This study aims to evaluate the performance of detached eddy simulation (DES) modeling approaches embedded with various unsteady Reynolds Averaged Navier-Stokes (URANS) models in simulating the turbulent flow fields over a steep-sloped hill. And the high-fidelity numerical methodology based on the DES model was proposed and analyzed in the context of URANS modes, mesh resolution and sampling duration. In comparison with the experimental data, the shear stress transport (SST) k-ω based DDES (Delayed Detached eddy simulation) turbulence model (DDES SST k-ω) could better predict the profiles of mean velocity and turbulence fluctuation, while the Spalart-Allmaras (S-A) based DES and DDES turbulence models show its stronger capability to reproduce the spectral characteristics. Additionally, in contrast to DES S-A and DDES S-A, a larger time-averaged separation bubble was predicted by DES SST k-ω and DDES SST k-ω. Moreover, the instantaneous flow patterns such as the formation and evolution of turbulent eddies in the hill wake could be reasonably reproduced by DES S-A and DDES S-A. Furthermore, the numerical results obtained from DES models were sensitive to URANS modes and vertical mesh resolution but trivially affected by the increase in sampling time after reaching the statistical convergence.
Highlights The performance of detached eddy simulation (DES) approaches for turbulent flow fields over a steep hill is evaluated. Effects of URANS modes, mesh resolution and sampling duration on the DES simulation of turbulent flows over steep hilly terrain are examined. The high-fidelity numerical framework based on DES models is proposed and validated in the context of turbulent flows over hilly topography.
Detached eddy simulation of turbulent flow fields over steep hilly terrain
Abstract The verification and validation (V&V) of multi-fidelity turbulence models is crucial for the efficient and reliable industrial application of computational fluid dynamics (CFD). This study aims to evaluate the performance of detached eddy simulation (DES) modeling approaches embedded with various unsteady Reynolds Averaged Navier-Stokes (URANS) models in simulating the turbulent flow fields over a steep-sloped hill. And the high-fidelity numerical methodology based on the DES model was proposed and analyzed in the context of URANS modes, mesh resolution and sampling duration. In comparison with the experimental data, the shear stress transport (SST) k-ω based DDES (Delayed Detached eddy simulation) turbulence model (DDES SST k-ω) could better predict the profiles of mean velocity and turbulence fluctuation, while the Spalart-Allmaras (S-A) based DES and DDES turbulence models show its stronger capability to reproduce the spectral characteristics. Additionally, in contrast to DES S-A and DDES S-A, a larger time-averaged separation bubble was predicted by DES SST k-ω and DDES SST k-ω. Moreover, the instantaneous flow patterns such as the formation and evolution of turbulent eddies in the hill wake could be reasonably reproduced by DES S-A and DDES S-A. Furthermore, the numerical results obtained from DES models were sensitive to URANS modes and vertical mesh resolution but trivially affected by the increase in sampling time after reaching the statistical convergence.
Highlights The performance of detached eddy simulation (DES) approaches for turbulent flow fields over a steep hill is evaluated. Effects of URANS modes, mesh resolution and sampling duration on the DES simulation of turbulent flows over steep hilly terrain are examined. The high-fidelity numerical framework based on DES models is proposed and validated in the context of turbulent flows over hilly topography.
Detached eddy simulation of turbulent flow fields over steep hilly terrain
Zhou, Tong (author) / Yang, Qingshan (author) / Yan, Bowen (author) / Deng, Xiaowei (author) / Yuan, Yangjin (author)
2022-01-10
Article (Journal)
Electronic Resource
English
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