考虑二次本构关系的湍流模型对翼身组合体阻力预测的影响分析

赵辉; 张耀冰; 陈江涛; 马明生

doi:10.7638/kqdlxxb-2018.0170

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考虑二次本构关系的湍流模型对翼身组合体阻力预测的影响分析

研究论文 | 更新时间：2026-05-28

- 考虑二次本构关系的湍流模型对翼身组合体阻力预测的影响分析
- The effects of quadratic constitutive relation of turbulence models on the drag prediction of wing-body configuration
- 空气动力学学报 2020年38卷第5期页码：901-907
- 作者机构：
  
  中国空气动力研究与发展中心计算空气动力研究所,绵阳,621000
- 作者简介：
  
  赵辉(1989-), 男, 助理研究员, 博士, 研究方向:CFD计算方法研究.E-mail:zbhui@mail.ustc.edu.cn
  陈江涛, 硕士, 副研究员, 研究方向:CFD验证与确认.E-mail:chenjt02@sina.cn
- 基金信息：
  
  国家数值风洞工程
- DOI：10.7638/kqdlxxb-2018.0170
  中图分类号： V211.3
- 纸质出版：2020
- 稿件说明：
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赵辉, 张耀冰, 陈江涛, 马明生. 考虑二次本构关系的湍流模型对翼身组合体阻力预测的影响分析[J]. 空气动力学学报, 2020, 38(5): 901-907.

ZHAO Hui, ZHANG Yaobing, CHEN Jangtao, et al. The effects of quadratic constitutive relation of turbulence models on the drag prediction of wing-body configuration[J]. 2020, 38(5): 901-907.
赵辉, 张耀冰, 陈江涛, 马明生. 考虑二次本构关系的湍流模型对翼身组合体阻力预测的影响分析[J]. 空气动力学学报, 2020, 38(5): 901-907. DOI： 10.7638/kqdlxxb-2018.0170.

ZHAO Hui, ZHANG Yaobing, CHEN Jangtao, et al. The effects of quadratic constitutive relation of turbulence models on the drag prediction of wing-body configuration[J]. 2020, 38(5): 901-907. DOI： 10.7638/kqdlxxb-2018.0170.

摘要

使用自行发展的MFlow求解器对第六届AIAA阻力预测会议的翼身组合体外形进行了数值模拟研究。在文章中着重对比了线性涡黏模型和考虑二次本构关系的湍流模型的数值模拟结果，并与试验结果进行了比较。研究发现，考虑二次本构关系的湍流模型能够比较准确地预测翼身组合体的气动特性，而线性涡黏模型从迎角3.5°开始，高估了翼身结合处的分离流动，导致预测的气动力与试验结果差异较大。对翼身结合处局部流动和压力分布的详细分析，展示了两种模型预测的气动特性差别很大的原因。

Abstract

Numerical investigations of the NASA Common Research Model from the 6th AIAA CFD Drag Prediction Workshop are performed with in-house solver MFlow. The results of linear viscosity model and nonlinear viscosity model with quadratic constitutive relation taken in to account are compared with experimental data. It is found that at angles-of-attack above 3.5 degrees

linear viscosity model over-estimates the separation at the corner of wing-body junction

therefore the results deviates from the experimental data. However

the turbulence model with Quadratic constitutive relation can improve the prediction of the secondary flow at the corner and leads to better agreement with experimental data. The causes of the difference between two models on the prediction are revealed through the analysis of local flow and pressure distribution at the corner.

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references

GILYARD G, GEORGIE J, BARNICKI J. Flight test of an adaptive configuration optimization system for transport aircraft[C ] //37th Aerospace Sciences Meeting and Exhibit, Reno, NV. Reston, Virginia: AIAA, 1999. doi: 10.2514/6.1999-831

SLOTNICK J, KHODADOUST A, ALONSO J, et al. CFD vision 2030 study: A path to revolutionary aerosciences[R]. NASA/CR-2014-218178, 2014.

JAMESON A, JAMESON A. Re-engineering the design process through computation[C ] //35th Aerospace Sciences Meeting and Exhibit, Reno, NV. Reston, Virginia: AIAA, 1997. doi: 10.2514/6.1997-641

GOLDHAMMER M I. Boeing 787-Design for optimal airplane performance[C]//CEAS/KATnet Conference on Key Aerodynamic Technologies, Bremen, Germany, 2005.

MCKINNEY R. Large Eddy simulation of aircraft gas turbine combustors at Pratt and Whitney-Current experience and next steps[C]//Presentation GT2011-46913, ASME Turbo Expo, Vancouver, Canada, 2011.

JIM DeBonis, CHRIS Rumsey, MUJEEB Malik. Test cases for NASA's revolutionary computational aerosciences technical challenge[C]//AIAA SciTech 2015, Kissimmee, FL: NF1676L-20545.

LEVY D W, ZICKUHR T, VASSBERG J, et al. Data summary from the first AIAA computational fluid dynamics drag prediction workshop[J]. Journal of Aircraft, 2003, 40(5):875-882.

LAFLIN K R, KLAUSMEYER S M, ZICKUHR T, et al. Data summary from second AIAA computational fluid dynamics drag prediction workshop[J]. Journal of Aircraft, 2003, 40(5):1165-1178. doi:10.2514/1.10771

VASSBERG J C, TINOCO E N, MANI M, et al. Abridged summary of the third AIAA computational fluid dynamics drag prediction workshop[J]. Journal of Aircraft, 2008, 45(3):781-798. doi:10.2514/1.30572

VASSBERG J C, TINOCO E N, MANI M R, et al. Summary of the fourth AIAA computational fluid dynamics drag prediction workshop[J]. Journal of Aircraft, 2014, 51(4):1070-1089.

LEVY D W, LAFLIN K R, TINOCO E N, et al. Summary of data from the fifth computational fluid dynamics drag prediction workshop[J]. Journal of Aircraft, 2014, 51(4):1194-1213.

BLAZEK J. Turbulence modelling[M]//Computational Fluid Dynamics:Principles and Applications. Amsterdam:Elsevier, 2001:225-265. doi:10.1016/b978-008043009-6/50009-1

CHEN J T, ZHANG Y B, ZHOU N C, et al. Numerical investigations of the high-lift configuration with MFlow solver[J]. Journal of Aircraft, 2015, 52(4):1051-1062. doi:10.2514/1.c033143

DISKIN B, THOMAS J L. Comparison of node-centered and cell-centered unstructured finite-volume discretizations:inviscid fluxes[J]. AIAA Journal, 2011, 48(7):1326-1338. doi:10.2514/1.J051870

VENKATAKRISHNAN V. On the accuracy of limiters and convergence to steady state solutions[C ] //31st Aerospace Sciences Meeting, Reno, NV, USA, Reston, Virigina: AIAA, 1993. doi: 10.2514/6.1993-880

SPALART P R. Strategies for turbulence modelling and simulations[J]. International Journal of Heat and Fluid Flow, 2000, 21(3):252-263. doi:10.1016/S0142-727X(00)00007-2

Mani M, Babcock D A, Winkler C M, et al. Predictions of a supersonic turbulent flow in a square duct[C ] //AIAA Aerospace Sciences Meeting Including the New Horizons Forum Aerospace Exposition, 2013. doi: 10.2514/6.2013-860

SPALART P R, ALLMARAS S R. A one-equation turbulence model for aerodynamic flows[C ] //30th Aerospace Sciences Meeting Exhibit, 1992. doi: 10.2514/6.1992-439

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