离散伴随气动优化设计方法的紊流扩展

卢娟 1; 张朝磊 1; 2; 丰镇平 1

doi:10.7652/xjtuxb201301008

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离散伴随气动优化设计方法的紊流扩展

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- 离散伴随气动优化设计方法的紊流扩展
- Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory
- 西安交通大学学报 2013年47卷第1期页码：37-42
- 作者机构：
  
  西安交通大学能源与动力工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2012-05-04。作者简介: 卢娟(1988-), 女, 博士生;丰镇平(通信作者), 男, 教授, 博士生导师。基金项目: 国家自然科学基金资助项目(51076121)
- DOI：10.7652/xjtuxb201301008
  中图分类号： TK14
- 网络首发：2013-01-10，
  
  纸质出版：2013
- 稿件说明：
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卢娟 1, 张朝磊 1, 2, 等. 离散伴随气动优化设计方法的紊流扩展[J]. 西安交通大学学报, 2013,47(1):37-42.

Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory[J]. 2013, 47(1): 37-42.
卢娟 1, 张朝磊 1, 2, 等. 离散伴随气动优化设计方法的紊流扩展[J]. 西安交通大学学报, 2013,47(1):37-42. DOI： 10.7652/xjtuxb201301008.

Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory[J]. 2013, 47(1): 37-42. DOI： 10.7652/xjtuxb201301008.

摘要

将离散伴随气动优化设计方法扩展到紊流环境

编程实现了相应的二维离散伴随场求解器; 通过组合参数化技术、网格生成技术、流场求解器、离散伴随场求解器及优化算法

建立了透平叶栅气动优化设计平台。基于该设计平台

在紊流环境下以叶栅进出口熵增为优化目标

对某二维跨声速叶栅型线进行了气动优化设计

通过施加质量流量约束来限制优化过程中叶栅通道内质量流率的波动幅度。优化结果表明:优化后熵增降低了17.7%

验证了所开发的紊流环境离散伴随场求解器的正确性和有效性。

Abstract

The aerodynamic optimization design method was extended to turbulent flow environment

and a discrete adjoint solver applicable to the turbulent flow environment was implemented. On the basis of the solver

an aerodynamic optimization design platform was established by coupling the parameterization technology

grid generation technology

an in-house flow solver

the discrete adjoint solver and optimization technology. A typical transonic two-dimensional cascade was optimized based on the platform with the entropy generation being taken as the optimization function. Moreover

a mass flow ratio constraint was added to the objective function by using the penalty function method to keep the mass flow ratio constant. The optimization results show that the entropy generation of the optimized cascade decreases by 17.7% compared with that of the baseline cascade

demonstrating the correctness and effectiveness of the discrete adjoint solver developed.

关键词

Keywords

references

PIRONNEAU O. On optimum shapes in Stokes flow [J]. Journal of Fluid Mechanics, 1973, 59(2): 117-128.

JAMESON A. Aerodynamic design via control theory [J]. Journal of Scientific Computing, 1988, 3(3): 233-260.

ANDERSON W K, BONHAUS D L. Airfoil design on unstructured grids for turbulent flows [J]. AIAA Journal, 1999, 37(2): 185-191.

左英桃, 高正红, 詹浩. 基于N-S方程和离散共轭方法的气动设计方法研究 [J]. 空气动力学报, 2009, 27(1): 67-72.

ZUO Yingtao, GAO Zhenghong, ZHAN Hao. Aerodynamic design method based on N-S equations and discrete adjoint approach [J]. Acta Aerodynamica Sinica, 2009, 27(1): 67-72.

吴文华, 陶洋, 陈德华, 等. 基于伴随算子的气动布局优化技术及其在大飞机机翼减阻中的应用 [J]. 航空动力学报, 2011, 26(7): 1583-1589.

WU Wenhua, TAO Yang, CHEN Dehua, et al. Wing optimization of large airplane by adjoint method [J]. Journal of Aerospace Power, 2011, 26(7): 1583-1589.

张朝磊, 厉海涛, 丰镇平. 基于离散伴随方法的透平叶栅气动优化设计 [J]. 工程热物理学报, 2012, 33(1): 47-50.

ZHANG Chaolei, LI Haitao, FENG Zhenping. Aerodynamic optimization design of turbomachinery cascade based on discrete adjoint method [J]. Journal of Engineering Thermophysics, 2012, 33(1): 47-50.

ZHANG Chaolei, FENG Zhenping. Aerodynamic shape design optimization for turbomachinery cascade based on discrete adjoint method, ASME Paper GT2011-45805 [R]. New York, NY, USA: ASME, 2011.

张朝磊, 卢娟, 丰镇平. 基于离散伴随方法的透平叶栅反设计[J]. 工程热物理学报, 2012, 33(4): 583-586.

ZHANG Chaolei, LU Juan, FENG Zhenping. Inverse design of turbomachinery cascade based on discrete adjoint method [J]. Journal of Engineering Thermophysics, 2012, 33(4): 583-586.

BLAZEK J. Computational fluid dynamics: principles and applications [M]. Amsterdam, The Netherlands: Elsevier, 2001: 245-247.

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