Puxian Ding , Rongji Deng , Di Fan , Ye Feng , Xinqiang Liao
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引用次数: 0
Abstract
Background
SGS models have significant impact on the LES prediction. However, the influence of subgrid-scale (SGS) eddy-viscosity models on the predictive performance of the Production-limited Eddy Simulation (PLES) for handling various complex turbulent flows is unknown. This study underscores the importance of SGS eddy-viscosity models in shaping the performance of the PLES model.
Methods
Numerical simulations are conducted to investigate the effect of subgrid-scale (SGS) eddy-viscosity models on the performance of PLES, comparing three commonly used SGS models: Smagorinsky-Lilly (SL), Vreman (VREMAN), and Wall-Adapting Local Eddy-viscosity (WALE).
Significant Findings
In the fully developed turbulent channel flow, all models effectively address the log-layer mismatch issue. The PLES-SL model predicts the highest turbulent viscosity, leading to a larger RANS (Reynolds-averaged Navier-Stokes) region, fewer resolved vortex structures, and lower RMS (root-mean-square) velocity near the wall. The PLES-VREMAN and PLES-WALE models yield similar turbulent viscosities, RANS regions, velocity profiles, and RMS velocities. The PLES-SL model shows greater sensitivity to grid resolution, while the others exhibit less dependence on grid refinement. For the flow around a cylinder, the PLES-SL model predicts a smaller recirculation zone and exhibits stronger vortex street fluctuations due to its higher turbulent viscosity. The PLES-VREMAN model performs best in predicting the time-averaged physical quantities and Reynolds stress.
期刊介绍:
Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.