基于CFD方法的大型客机高速气动设计

doi:10.7527/S1000-6893.2015.0331

Abstract

Abstract:

The aerodynamic optimization and design is discussed in this paper,including the combination of local and global search methods,the combination of human experience and automatic optimization,the parameterization technique and the automatic mesh generation method.These techniques are developed and explored for the high speed aerodynamics of large civil transporter and,meanwhile,integrated with the artificial experience based on the state of the arts numerical tools,the optimization algorithm and the computing hardware,which highly improves the design efficiency.The method and process of engineering aerodynamic design with constraints in multiple disciplines,such as aerodynamics,icing and static aero-elastics,are also improved in this paper.Furthermore,a supercritical wing design is demonstrated as an example for the application of above techniques to high speed aerodynamic design of large civil transporter.

Key words: large civil transporter, aerodynamic design, supercritical wing, CFD, multidisciplinary

CLC Number:

V221.4

ZHANG Miao, LIU Tiejun, MA Tuliang, CHEN Yingchun, CHENG Pan, ZHOU Feng. High speed aerodynamic design of large civil transporter based on CFD method[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(1): 244-254.

References

[1] JOHNSON F T,TINOCO E N,YU N J.Thirty years of development and application of CFD at Boeing Commercial Airplanes,Seattle[J].Computers & Fluids,2005,34(10):1115-1151.
[2] 钱瑞战,乔志德,宋文萍,等.基于N-S方程和序列二次规划的翼型优化设计[J].西北工业大学学报,2003,21(5):523-527.QIAN R Z,QIAO Z D,SONG W P,et al.Optimization design of airfoil based on N-S equation and sequential quadratic optimization[J].Journal of Northwest Polytechnical University,2003,21(5):523-527(in Chinese).
[3] 王晓璐,朱自强,吴宗成,等.基于N-S方程的民航机翼双目标优化设计[J].北京航空航天大学学报,2008,34(7):739-742.WANG X L,ZHU Z Q,WU Z C,et al.Dual objective optimization for the wings of commercial aircraft based on N-S equation[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(7):739-742(in Chinese).
[4] 艾德·奥波特.运输类飞机的空气动力学设计[M].顾诵芬,吴兴世,杨新军,译.上海:上海交通大学出版社,2010:61-103.O'Porter E.Aerodynamic design in transport aircraft[M].GU S F,WU X S,YANG X J,translated.Shanghai:Shanghai Jiao Tong University Press,2010:61-103(in Chinese).
[5] 田云,刘沛清.大型飞机超临界机翼设计技术[J].国际航空,2010(4):54-56.TIAN Y,LIU P Q.Design on supercritical wing of large aircraft[J].International Aeronautic,2010(4):54-56(in Chinese).
[6] DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197.
[7] 倪昂修,张宇飞,陈海昕.NSGA-Ⅱ算法的改进及其在多段翼型缝道参数优化中的应用[J].空气动力学学报,2014,32(2):252-257.NI A X,ZHANG Y F,CHEN H X.Improvement of NSGA algorithm and its application on multisection airfoil slot parameter optimization[J].Acta Aerodynamic Sinica,2014,32(2):252-257(in Chinese).
[8] BHARTI S,GRECKER M,LESIEUTRE G.Optimal morphing-wing design using parallel non-dominated sorting genetic algorithm Ⅱ[J].AIAA Journal,2009,47(7):1627-1634.
[9] ZHAO T,ZHANG Y F,CHEN H X.Multi-objective aerodynamic optimization of supercritical wing with substantial pressure constraints:AIAA-2015-0763[R].Reston:AIAA,2015.
[10] 王晓鹏,高正红.基于遗传算法的翼型气动优化设计[J].空气动力学学报,2000,18(3):324-329.WANG X P,GAO Z H.Aerodynamic optimization of airfoil base on genetic algorithm[J].Acta Aerodynamic Sinica,2000,18(3):324-329(in Chinese).
[11] 詹浩,段卓毅,陈迎春.基于遗传算法和分布式计算的翼型优化设计研究[J].西北工业大学学报,2004,22(6):778-781.ZHAN H,DUAN Z Y,CHEN Y C.Optimization of wing based on genetic algorithm and distributed computing[J].Journal of Northwest Polytechnical University,2004,22(6):778-781(in Chinese).
[12] JAMESON A,SHANKARAN S,MARTINELLI L.Continuous adjoint method for unstructured grids [J].AIAA Journal,2012,46(5):1226-1239.
[13] JAMESON A,KIM S.Reduction of the adjoint gradient formula for aerodynamic shape optimization problems [J].AIAA Journal,2003,41(11):2114-2129.
[14] 张宇飞,陈海昕,符松,等.一种实用的运输类飞机机翼/发动机短舱一体化优化设计方法[J].航空学报,2012,33(11):1993-2001.ZHANG Y F,CHEN H X,FU S,et al.An practical integration design method of wing and nacelle of transport aircraft[J].Acta Aeronautica et Astronautica Sinica,2012,33(11):1993-2001(in Chinese).
[15] 赵童,张宇飞,陈海昕,等.面向三维机翼性能的超临界翼型优化设计方法[J].中国科学:物理学力学天文学,2015,45(10):104708.ZHAO T,ZHANG Y F,CHEN H X,et al.Optimization of supercritical wing on performance of three dimension wing[J].SCIENTIA SINICA Physics,Mechanica & Astronomy,2015,45(10):104708(in Chinese).
[16] 李焦赞,高正红,詹浩.基于目标压力分布优化的翼型反设计方法研究[J].弹箭与制导学报,2008,28(1):187-190.LI J Z,GAO Z H,ZHAN H.Study on inverse design method of airfoil based on optimization of target pressure distribution[J].Journal of Projectiles,Rockets,Missiles,and Guidance,2008,28(1):187-190(in Chinese).
[17] ZHANG Y F,CHEN H X,ZHANG M,et al.Supercritical wing design and optimization for transonic civil airplane:AIAA-2011-0027[R].Reston:AIAA,2011.
[18] ZHANG Y F,CHEN H X,ZHANG W S,et al.Wing/engine integrated optimization based on Navier-Stokes equations:AIAA-2012-1046 [R].Reston:AIAA,2012.
[19] ZHANG Y F,FANG X M,CHEN H X,et al.Supercritical natural laminar flow airfoil optimization for regional aircraft wing design[J].Aerospace Science and Technology,2015,43:152-164.
[20] LEPINE J,GUIBAULT F,TREPANIER J Y,et al.Optimized nonuniform rational B-spline geometrical representation for aerodynamic design of wings[J].AIAA Journal,2001,39(11):2033-2041.
[21] PAINCHAUD-OUELLET S,TRIBES C,TREPANIER J Y,et al.Airfoil shape optimization using a nonuniform rational B-splines parameterization under thickness constraint[J].AIAA Journal,2006,44(10):2170-2178.
[22] KULFAN B M.Universal parametric geometry representation method[J].Journal of Aircraft,2008,45(1):142-158.
[23] 王丹,白俊强,黄江涛.FFD方法在气动优化设计中的应用[J].中国科学:物理学力学天文学,2014,44(3):267-277.WANG D,BAI J Q,HUANG J T.The application of FFD method of aerodynamic optimization[J].SCIENTIA SINICA Physics,Mechanica & Astronomy,2014,44(3):267-277(in Chinese).
[24] 陈颂,白俊强,华俊,等.直接操作FFD技术在翼型气动优化设计中的应用[J].航空计算技术,2013(1):40-43.CHEN S,BAI J Q,HUA J,et al.Using direction operation FFD technology in the airfoil aerodynamic optimization [J].Aeronautical Computing Technique,2013(1):40-43(in Chinese).
[25] SONG W B,LV P P.Two-level wing-body-fairing optimization of a civil transport aircraft[J].Journal of Aircraft,2011,48(6):2114-2121.
[26] 黄江涛,高正红,周铸,等.一种新型高鲁棒性动网格技术及其应用[J].力学学报,2014,46(2):291-299.Huang J T,Gao Z H,Zhou Z,et al.A new highly robust grid deformation technique and its application[J].Chinese Journal of Theoretical and Applied Mechanics,2014,46(2):291-299(in Chinese).
[27] NEMEC M,ZINGG D W,PULLIAM T H.Multi-point and multi-objective aerodynamic shape optimization:AIAA-2002-5548[R].Reston:AIAA,2002.
[28] LEUNG T M,ZINGG D W.Single-and multi-point aerodynamic shape optimization using a parallel Newton-Krylov approach:AIAA-2009-3803 [J].Reston:AIAA,2009.

High speed aerodynamic design of large civil transporter based on CFD method

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