钝体空气动力学计算流体动力学reynolds - average Navier-Stokes模型的评估

IF 0.6 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
Sivamoorthy Kanagalingam, Youhanna E. William
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引用次数: 0

摘要

由于稳态计算流体动力学(CFD) reynolds -平均Navier-Stokes (RANS)湍流模型提供了低成本和合理的精度,因此它们经常用于bluff体的外部空气动力学研究(例如,逆风,侧风和形状优化)。然而,就准确性和成本而言,没有确定的最佳模型。基于成本和精度的考虑,研究了4种RANS湍流模型,分别是Spalart-Allmaras、realizable k-ε、RNG k-ε和SST k-ω。本文介绍了一种具有25°倾斜角度的艾哈迈德体基准案例。生成了两个网格来满足每个湍流模型的近壁处理。提出并详细讨论了各种网格设置。在五个不同的平面上进行了流固分析。在流场预测方面,可实现k-ε和重整化组(RNG) k-ε模型与实验数据的一致性较好,而Menter的剪切应力输运(SST) k-ω的一致性较差。计算得到的阻力系数和升力系数与实验结果进行了比较。所有研究的RANS湍流模型报告的结果与实验阻力系数值非常吻合。SST k-ω模型低估了升力系数值,与实验值误差约为- 45%。在预测阻力和升力系数时,只有可实现的k-ε和RNG k-ε的误差为10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Computational Fluid Dynamics Reynolds-Averaged Navier–Stokes Models for Bluff Bodies Aerodynamics
Since the steady-state computational fluid dynamics (CFD) Reynolds-averaged Navier–Stokes (RANS) turbulence models offer low-cost and sensible accuracy, they are frequently utilized for bluff bodies’ external aerodynamics investigations (e.g., upwind, crosswind, and shape optimization). However, no firm certainty is made regarding the best model in terms of accuracy and cost. Based on cost and accuracy aspects, four RANS turbulence models were studied, which are Spalart–Allmaras, realizable k-ε, RNG k-ε, and SST k-ω. Ahmed body with a 25° slant angle benchmark case was introduced for this investigation. Two grids were generated to satisfy the near-wall treatment of each turbulence model. All grid settings were proposed and discussed in detail. Fluid-structure analysis was performed on five different planes. Regarding flow field prediction, realizable k-ε and renormalization group (RNG) k-ε models demonstrated a remarkable consistency with experimental data, while Menter’s shear stress transport (SST) k-ω showed a poor agreement. The obtained computational values of drag and lift coefficients were compared with experimental results. All investigated RANS turbulence models had reported results in excellent agreement with experimental drag coefficient values. The SST k-ω model has underestimated lift coefficient value with an error of about −45% with experimental value. Only realizable k-ε and RNG k-ε presented an error &lt;10% for predicting drag and lift coefficients.
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来源期刊
SAE International Journal of Commercial Vehicles
SAE International Journal of Commercial Vehicles TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.80
自引率
0.00%
发文量
25
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