期刊文献+

基于NURBS方法的机翼气动外形优化 被引量:13

Aerodynamic Shape Optimization for Wing Based on Non-uniform Rational B-spline
收藏 分享 导出
摘要 飞行器气动外形优化就是将设计对象的空气动力学性能分析与最优化方法相结合,通过不断改变设计对象的外形,使其气动性能在满足一定约束条件下达到最优。气动外形优化是一个涉及几何参数化、动网格、流场计算和寻优算法的综合应用平台。随着计算流体力学(CFD)的发展以及高性能计算机的使用,气动外形优化在现代飞行器设计中的作用愈加重要。为此建立了基于非均匀有理B样条(NURBS)参数化方法的机翼气动外形优化平台。优化过程中采用弹性网格变彤法,南雷诺平均Navierstokes方程组和Baldwin—Lomax代数湍流模型求解流场,并用离散伴随方法进行目标函数梯度求解,最后结合序列二次规划(SQP)方法进行优化迭代。通过对ONERAM6机翼在跨声速条件下进行优化分析,结果表明在保持升力系数和机翼容积不变,马赫数Ma-0.84、迎角a=3.06°时,优化后机翼表面压力系数有明显变化,上翼面λ激波明显减弱,相对于原始外形优化后机翼阻力系数减小0.0025,降幅达13.1%;优化实例验证了该方法有效可行。 Aerodynamic design optimization is to find the optimum of aircraft aerodynamic performance under certain constraints by changing the shape of the designed object. It facilitates the design process by automating both the performance analysis and the optimization method. Aerodynamic design optimization is an integrated application of geometry parameterization, grid update, flow field solver and optimization method, and it has contributed to the design of aircraft with the maturity of computational fluid dynamics (OFD) and the progress of computer performance. This paper presents an aerodynamic wing shape optimization method based on non-uniform rational B-spline (NURBS), in which the mesh deformation is used with a spring-based smoothing method. The Reynolds-averaged Navier-Stokes equations with an algebraic turbulence model of Baldwin-Lomax are used to solve the flow field, and a discrete-adjoint method inexpensively computes the sensitivities of the function with respect to design variables, to build the gradient of the objective function. Finally, an sequential quadratic pro- gramming (SQP) method is employed to find the optimum. An aerodynamic shape optimization is performed to minimize the drag of wing ONERA M6 at transonic Ma = 0.84 and α = 3.06°. As a result of the optimization, the pressure coefficient on the up-wing surface is changed obviously, and the λ shock wave is much reduced. The drag coefficient loses 25 drag counts, which means a 13.1% drag improvement with the constraints of the lift and volume. This application to an aerodynamic design optimization validates the system of optimization and design based on NURBS.
作者 马晓永 范召林 吴文华 杨党国 MA Xiaoyong , FAN Zhaolin , WU Wenhua, YANG Dangguo 1. State Key Laboratory of Aerodynamics, China Aerodynamics Research,& Development Center, 2 Mianyang 62 I000, Chine High Speed Aerodynamics Institute, Chine Aerodynamics Research & Development Center, Mianyang 62 I000, China
出处 《航空学报》 EI CAS CSCD 北大核心 2011年第9期1616-1621,共6页 Acta Aeronautica et Astronautica Sinica
基金 国际科技合作项目(2007DFA70880)
关键词 非均匀有理B样条 几何参数化 气动外形优化 ONERA M6机翼 数值模拟 non-uniform rational B-spine geometric parameter aerodynamic shape optimization ONERA M6 wing numerical simulation
作者简介 马晓永(1979-)男,博士研究生,助理研究员。主要研究力向:气动外形优化。Tel:08162462264 E—mail:mxycardc@mail.ustc.edu.cn 通讯作者 范召林(1963-)男,博士,研究员,博士生导师。主要研究力向:飞行器总体设计。Tel:0816-2466021 E-mail:fzl-cardc@163.com 吴文华(1974-)男,副研究员。主要研究方向:色行器优化设计。Tel:0816-7067916 E—mail:619677947@qq.com 杨党国(1980-)男,博士,助理研究员。主要研究方向:色行器设计。Tel:0816-2462268 E-mail:yangdgcardc@163.com
  • 相关文献

参考文献25

二级参考文献24

  • 1William J G. Innovative control effeetors ( Configure 101 ) dynamic wind tunnel test report [ R ]. AFRL-VA-WP-TR-1998- 3043,1998. 被引量:1
  • 2Yang Lingyu,Shen Gongzhang. A new optimal control allocation method for aircraft with multiple control effectors [ R ]. AIAA- 2007 -1052,2007. 被引量:1
  • 3Trigg M A, Tubby G R, Sheard A G. Automatic genetic optimization approach to two-demensional blade profile design for steam turbines[J]. Journal of Turbomachinery, 1999,121:11-17. 被引量:1
  • 4Cravero C,Satta A. A Navier-Stokes based strategy for the aerodynamic optimization of a turbine cascade using genetic algorithm[R]. ASME Turbo Expo. ,2001-GT-0508. 被引量:1
  • 5Boehm W. Inserting new knots into B-spline curves[J].CAD, 1980, 12(4):87-111. 被引量:1
  • 6Moffit T P, Szanca E M, Whitney W J. Design and cold air test of single stage uncooled core turbine with high work output[R]. NASA TP-1680,1980. 被引量:1
  • 7Chen Bo, Yuan Xin. Advanced aerodynamic optimization system for turbomachinery[J]. ASME Journal of Turbomachinery, 2008, 130(2): 1005-1016. 被引量:1
  • 8Schmit L A, Farshi B. Some approximation concepts for structural synthesis[J]. AIAAJ, 1974, 12(5): 692-699. 被引量:1
  • 9Sacks J, Welch W J, Mitchell T J, et al. Design and analysis of computer experiments[J]. Statistical Science, 1989,4(4). 409-435. 被引量:1
  • 10Montgomery D C. Design and analysis of experiments[M].New York: John Wiley & Sons, 1997. 被引量:1

共引文献51

同被引文献181

引证文献13

二级引证文献45

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈