Comparison of RANS and LES turbulent flow models in a real stenosis

被引:7
|
作者
Lopes, D. [1 ]
Puga, H. [1 ]
Teixeira, J. [4 ]
Lima, R. [4 ,5 ]
Grilo, J. [1 ]
Duenas-Pamplona, J. [6 ]
Ferrera, C. [2 ,3 ]
机构
[1] Univ Minho, Mech Engn Dept, CMEMS UMinho, Campus Azurem, P-4800058 Guimaraes, Portugal
[2] Univ Extremadura, Dept Ingn Mecan Energet & Mat, Badajoz 06006, Spain
[3] Univ Extremadura, Inst Comp Cient Avanzada ICCAEx, Badajoz 06006, Spain
[4] Univ Minho, MEtRICs Mech Engn Dept, Campus Azurem, P-4800058 Guimaraes, Portugal
[5] Univ Porto FEUP, CEFT, Fac Engn, Rua Roberto Frias, P-4200465 Porto, Portugal
[6] Univ Politecn Madrid, Dept Ingn Energet, Avda Ramiro de Maeztu 7, Madrid 28040, Spain
关键词
Computational Fluid Dynamics; Turbulent blood flow; Reynolds-Averaged Navier Stokes; Large Eddy Simulation; DIRECT NUMERICAL-SIMULATION; LARGE-EDDY SIMULATION; WALL SHEAR-STRESS; PULSATILE FLOW; BLOOD-FLOW; ARTERIAL STIFFNESS; TRANSITIONAL FLOW; STENOTIC FLOWS; FLUID; STEADY;
D O I
10.1016/j.ijheatfluidflow.2024.109340
中图分类号
O414.1 [热力学];
学科分类号
摘要
This study focuses on the performance of various turbulence models in predicting hemodynamic variables within a patient-specific geometry of the Brachiocephalic trunk exhibiting a severe stenosis. Numerical simulations employing Reynolds-averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) models were conducted, comparing four RANS with two LES models. Results indicated significant differences in turbulent structures between RANS and LES models, with the k-omega RANS model closely approximating LES throughout the cardiac cycle. The velocity and Turbulent Kinetic Energy (TKE) results were consistent in the stenosis region due to the proximity to the inlet and plug flow conditions. However, notable disparities were observed in bifurcation and outlet regions. Time-Averaged Wall Shear Stress (TAWSS) comparisons revealed that the k-omega-based models provided closer agreement with LES, particularly in atherosclerosis-prone areas. The study highlights the limitations and strengths of each turbulence model, emphasizing the importance of model selection in simulating complex cardiovascular conditions. While RANS models demonstrated computational efficiency, their accuracy varied across regions. The effectiveness of the k-omega model in capturing the intricacies of such a complex flow field suggests its potential as a reliable and accurate tool for simulating physiological conditions with strong curvature and advanced stenosis.
引用
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页数:15
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