航空学报 > 2017, Vol. 38 Issue (4): 120383-120383   doi: 10.7527/S1000-6893.2016.0205

γ-Reθt-CF转捩模型在Spalart-Allmaras湍流模型中的推广及验证

鞠胜军, 阎超, 叶志飞   

  1. 北京航空航天大学 航空科学与工程学院, 北京 100083
  • 收稿日期:2016-04-28 修回日期:2016-06-25 出版日期:2017-04-15 发布日期:2016-07-18
  • 通讯作者: 阎超 E-mail:yanchao@buaa.edu.cn

Genevalization and validation of γ-Reθt-CF transition modeling in combination with Spalart-Allmaras turbulence model

JU Shengjun, YAN Chao, YE Zhifei   

  1. School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China
  • Received:2016-04-28 Revised:2016-06-25 Online:2017-04-15 Published:2016-07-18

摘要:

横流(CF)不稳定性是三维流动中诱发转捩的一项非常重要的因素,考虑到γ-Reθt-CF转捩模型对流向Tollmien-Schlichting波和横流波不稳定性引起转捩的判定均是完全基于当地变量,且Spalart-Allmaras(SA)湍流模型计算效率高,因而将γ-Reθt-CF转捩模型与SA湍流模型相结合,并将其引入开源Standford University Unstructured(SU2)计算流体力学分析平台。为了考察和验证模型的预测精度,分别使用原始γ-Reθt模型和γ-Reθt-CF-SA模型,对NLF(2)-0415后掠翼型和标准6:1椭球模型进行了转捩预测数值模拟。算例结果表明,γ-Reθt-CF-SA模型的计算结果与试验数据吻合程度远远优于原始γ-Reθt模型,γ-Reθt-CF-SA模型能正确地预测出三维流动中的横流不稳定性引起转捩的现象。

关键词: 转捩模型, 横流不稳定性, 基于当地变量, 动量厚度, 间歇因子

Abstract:

One of the major 3D transition mechanisms is transition due to crossflow (CF) instability. The γ-Reθt-CF transition model is a local correlation-based approach for prediction of transition caused either by Tollmien-Schlichting steamwise instability or crossflow instability. In order to improve the efficiency, γ-Reθt-CF-SA model is coupled with the one-equation Spalart-Allmaras (SA) turbulence model, and is then implemented in open-source Standford University Unstructured (SU2), a platform for computational fluid dynamics analyses. In order to validate and assess prediction accuracy of new model, a series of transition flows are simulated including NLF(2)-0415 swept airfoil and 6:1 prolate spheroid standard model. Computation results using γ-Reθt-CF-SA model are in good agreement with available experimental data, far superior to those using original γ-Reθt model. Model proposed can effectively predict location of crossflow instability transition.

Key words: transition model, crossflow instability, local correlation-based, momentum thickness, intermittency

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