Aerodynamic performance prediction and credibility study of the transport model CHN-T1 based on HyperFLOW solver

WANG Nianhua; CHANG Xinghua; ZHAO Zhong; MA Rong; ZHANG Laiping

doi:10.7638/kqdlxxb-2018.0183

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Aerodynamic performance prediction and credibility study of the transport model CHN-T1 based on HyperFLOW solver

更新时间：2026-05-28

- Aerodynamic performance prediction and credibility study of the transport model CHN-T1 based on HyperFLOW solver
- Vol. 37, Issue 2, Pages: 301-309(2019)
- 作者机构：
  
  1. 中国空气动力研究与发展中心空气动力学国家重点实验室,绵阳,621000
  2. 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：
- 基金信息：
- DOI：10.7638/kqdlxxb-2018.0183
  CLC： V211.3
- Published：2019
- 稿件说明：
移动端阅览
王年华, 常兴华, 赵钟, 马戎, 张来平. 基于HyperFLOW平台的客机标模CHN-T1气动性能预测及可信度研究[J]. 空气动力学学报, 2019, 37(2): 301-309.

WANG Nianhua, CHANG Xinghua, ZHAO Zhong, et al. Aerodynamic performance prediction and credibility study of the transport model CHN-T1 based on HyperFLOW solver[J]. 2019, 37(2): 301-309.
王年华, 常兴华, 赵钟, 马戎, 张来平. 基于HyperFLOW平台的客机标模CHN-T1气动性能预测及可信度研究[J]. 空气动力学学报, 2019, 37(2): 301-309. DOI： 10.7638/kqdlxxb-2018.0183.

WANG Nianhua, CHANG Xinghua, ZHAO Zhong, et al. Aerodynamic performance prediction and credibility study of the transport model CHN-T1 based on HyperFLOW solver[J]. 2019, 37(2): 301-309. DOI： 10.7638/kqdlxxb-2018.0183.

摘要

近年来，针对实际飞行器外形的CFD气动性能预测及可信度研究逐步得到重视，国内也召开了第一届航空CFD可信度研讨会（AeCW-1）。本文首先基于自主研发的CFD软件平台HyperFLOW对NACA0012翼型低速绕流进行了网格收敛性研究，验证了软件对简单湍流问题的模拟能力且具备良好的网格收敛性。其次，针对AeCW-1提供的客机标模CHN-T1，选用其中的两个算例：（1）定升力系数的网格收敛性研究；（2）考虑模型支撑和模型静气动弹性变形的抖振特性研究，研究了计算结果的网格收敛性及模型支撑、静气动弹性变形和湍流模型等对气动特性预测精度的影响。结果表明：观测精度阶和网格收敛性指数显示数值结果具有良好的网格收敛性和可信度；是否考虑模型支撑对力矩的预测精度影响较大，引入尾撑和弹性变形后，数值结果与实验结果吻合较好；对于CHN-T1标模，采用QCR关系式对原始SA模型进行修正对标模力矩特性有一定影响。

Abstract

As the prediction of aerodynamic performance of real complex configuration aircraft has been paid more and more attention in recent years

the first aeronautics CFD credibility workshop was launched in China. The grid convergence study was conducted in the paper based on the in-house solver HyperFLOW for the 2D NACA0012 airfoil subsonic turbulent flow. Good grid convergence performance was demonstrated in the turbulent flow simulations. We adopted the transport model CHN-T1 in the two test cases required by the workshop to validate the performance of HyperFLOW

for complex configurations. The first test case is the grid convergence study at the fixed lift coefficient

=0.5(±0.001)

and the second one is buffet study with the influences of support system and static elastic deformation. We also studied the effect of turbulence models on the aerodynamic prediction accuracy. The observed order of accuracy and grid convergence index (GCI) show that

good grid convergence property and credibility were obtained

and the support system may significantly affect the aerodynamic moments. In addition

the elastic deformation also plays a non-negligible role in accurate aerodynamic prediction. The numerical predictions agree well with the experimental measurement with the support system and static elastic deformation. Original SA turbulence model with quadratic constitutive relation (QCR) has slight influence on the moment

since side of body (SOB) separations are not observed around the CHN-T1 model.

关键词

Keywords

references

ROY C J, TINOCO E N. Summary of data from the sixth AIAA CFD drag prediction workshop: case 1 code verification[R]. AIAA 2017-1206, 2017.

TINOCO E N, BRODERSEN O P, KEYE S, et al. Summary of data from the sixth AIAA CFD drag prediction workshop: CRM cases 2 to 5[R]. AIAA 2017-1208, 2017.

WANG Y T. An overview of DPW Ⅳ-DPW Ⅵ numerical simulation technology[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(4):021836. (in Chinese)

SLOTNICK J P, HANNON J A, Chaffin M. Overview of the first AIAA high-lift prediction workshop[R]. AIAA 2011-862, 2011.

RUMSEY C L, SLOTNICK J P. Overview and summary of the second AIAA high-lift prediction workshop[R]. AIAA 2014-0747, 2014.

YU Y G, ZHOU Z, HUANG J T, et al. Aerodynamic design of a standard model CHN-T1 for single-aisle passenger aircraft[J]. Acta Aerodynamica Sinica, 2018, 36(3):505-513. (in Chinese)

CHILDS M L, PULLIAM T H, JESPERSEN D C. OVERFLOW, Turbulence modeling resource verification results[R]. NASA Technical Report: NASA-2014-03, 2014.

RUMSEY C L. Recent developments on the turbulence modeling resource website[R]. AIAA 2015-2927, 2015.

ZHANG Y B, TANG J, CHEN J T, et al. Aerodynamic characteristics prediction of CHN-T1 standard model with unstructured grids[J]. Acta Aerodynamica Sinica, 2019, 37(2):262-271. (in Chinese)

MANI M, BABCOCK D A, WINKLER C M, et al. Prediction of supersonic turbulent flow in a square duct[R]. AIAA 2013-0860, 2013.

YAMAMOTO K, TANAKA K, MURAYAMA M. Effect of a nonlinear constitutive relation for turbulence modeling on predicting flow separation at wing-body juncture of transonic commercial aircraft[R]. AIAA 2012-2895, 2012.

HE X, ZHAO Z, MA R, et al. Validation of HyperFLOW in subsonic and transonic flow[J]. Acta Aerodynamica Sinica, 2016, 34(2):267-275.

HE X, HE X Y, HE L, et al. HyperFLOW:A structured/unstructured hybrid integrated computational environment for multi-purpose fluid simulation[J]. Procedia Engineering, 2015, 126:645-649.

ZHAO Z, ZHANG L P, HE L, et al. PHengLEI: A large scale parallel CFD framework for arbitrary grids[J]. Chinese Journal of Computers, 2018, vol. 41, published online. (in Chinese)

WANG N H, LI M, ZHANG L P. Accuracy analysis and improvement of viscous flux schemes in unstructured second-order finite-volume discretization[J]. Chinese Journal of Theoretical and Applied Mechanics, 2018, 50(3):527-537. (in Chinese)

LI W, WANG Y T, HONG J W, et al. Aerodynamic characteristics simulation of CHN-T1 model with TRIP3.0[J]. Acta Aerodynamica Sinica, 2019, 37(2):272-279. (in Chinese)

CELIK I B, GHIA U, ROACHEP J, et al. Procedure for estimation and reporting of uncertainty due to discretization in CFD applications[J]. Journal of Fluids Engineering, 2008, 130:078001.

OBERKAMPF W L, ROY C J. Verification and validation in scientific computing[M]. Cambridge University Press, 2010.

LI Q, LIU D W, XU X, et al. Experimental study of aerodynamic characteristic of CHN-T1 standard model in 2.4 m transonic wind tunnel[J]. Acta Aerodynamica Sinica, 2019, 37(2):337-344. (in Chinese)

WANG Y T, SUN Y, MENG D H, et al. Numerical simulation of aerodynamic characteristics of CRM WB configuration with support system and wing deformation[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(10):121202. (in Chinese)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Investigation on accuracy of gradient reconstruction and flow simulation on general unstructured grids based on downscaling method

Research on aerodynamic performance prediction of point cloud wings based on transfer learning

Intelligent prediction method of flow field and aerodynamic characteristics for two-dimensional blunt body combined sections in steady wind

Development and application of a credibility assessment platform for CFD software

Advances in the key technologies of verification and validation system of National Numerical Windtunnel project

Related Author

ZHANG Laiping

LI Ming

Zhang Shujun

Chen Dehua

Wang Liangquan

Xu Shuying

Dong Shouhong

Liu Shanshan

Related Institution

School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu

Laboratory of Rotor Aerodynamics, China Aerodynamics Research and Development Center, Mianyang

School of Civil Engineering, Chongqing University, Chongqing

China Aerodynamics Research and Development Center, Mianyang

AI问答

⁰