基于工程环境的气动多目标优化设计平台研究

doi:10.7527/S1000-6893.2015.0315

方案设计与多学科分析

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

基于工程环境的气动多目标优化设计平台研究

李权, 郭兆电, 雷武涛, 赵轲

中航工业第一飞机设计研究院总体气动研究所, 阎良 710089

收稿日期:2015-09-30 修回日期:2015-11-22 出版日期:2016-01-25 发布日期:2015-12-04
通讯作者: 李权,Tel.:029-86832360,E-mail:lqq0309@163.com E-mail:lqq0309@163.com
作者简介:李权男,博士研究生,高级工程师。主要研究方向:气动力设计与数值计算。Tel:029-86832360,E-mail:lqq0309@163.com;郭兆电男,学士,研究员。主要研究方向:飞机设计。Tel:029-86832602,E-mail:guozd@163.com;雷武涛男,硕士,高级工程师。主要研究方向:飞机设计。Tel:029-86832602,E-mail:lei_wu_tao@yahoo.com;赵轲男,博士,工程师。主要研究方向:飞机气动力设计。Tel:029-86832602,E-mail:zhaokecfd@163.com
基金资助:
国家"863"计划(2012AA01A304)

Engineering environment-based multi-objective optimization platform for aerodynamic design

LI Quan, GUO Zhaodian, LEI Wutao, ZHAO Ke

General Configuration and Aerodynamic Institute, The First Aircraft Institute of AVIC, Yanliang 710089, China

Received:2015-09-30 Revised:2015-11-22 Online:2016-01-25 Published:2015-12-04
Supported by:
National High-tech Research and Development Program of China(2012AA01A304)

摘要/Abstract

摘要：

工程环境中,飞机气动力设计面临在多个目标和多种约束条件下寻找最优值,需在较短时限内完成设计优化,并保证最终方案可靠。基于高性能计算环境,采用现代计算流体力学(CFD)数值模拟技术和优化技术等构建了面向实际工程的飞行器气动多目标优化设计平台:采用基于非均匀有理B样条(NURBS)方法的自由曲面变形技术,实现对工程复杂气动外形的参数化表达;采用网格变形技术,实现优化过程中计算网格的自动更新;采用基于有限体积方法和多块结构网格的雷诺平均Navier-Stokes(RANS)方程并行解算器进行气动力求解;采用基于精英保留策略的非支配排序的多目标遗传算法(NSGA-II)进行多目标全局优化求解;采用非线性单纯形算法进行局部优化求解,优化过程中,通过人工调整优化种群,引入人工经验,构建"人在回路"的设计流程。以某翼型/机翼气动力优化设计为例对该平台技术进行验证:多目标优化设计可得到清晰的Pareto前沿解分布;优化后的翼型/机翼在满足各项约束的前提下,具备更高的综合气动性能。结果表明:所发展的气动多目标优化设计平台具有很好的工程适用性。

关键词: 多目标优化, 气动设计, 遗传算法, 计算流体力学, 自由曲面变形技术

Abstract:

In the engineering environment,the aim of aerodynamic design of an aircraft is to find the optimal value under the multi-objectives and multi constraints.The design optimization should be completed in a short time and the final scheme must be reliable.Based on high-performance computing environment,an engineering-practical multi-objective optimization platform for aerodynamic design is constructed by adopting modern computational fluid dynamics(CFD) numerical simulation and optimization techniques.The free form deformation method based on non-uniform rational b-splines(NURBS) is used to obtain the parametrized representation of aerodynamic shapes;the mesh deformation method is taken to realize the automatic deformation of computational mash in optimization;a Reynolds averaged Navier-stokes solver based on finite volume method and multi-block structured mesh is used to find out aerodynamic forces;the non-dominated sorting-based multi-objective genetic algorithm(NSGA-II) is used to search for global optimum,while the nonlinear simplex algorithm method is used to search for local optimum.During the optimization process,a "human-in-the-loop" design process is configurated through artificially changing optimum population and introducing artificial experience.For the validation of this platform,optimization design of an airfoil/wing's aerodynamic forces is taken as an example.A clear Pareto-optimal front can be obtained by multi-objective optimization design;on the premise of meeting all constraints,the comprehensive aerodynamic performance of optimized airfoil/wing is significantly improved.The result shows that the multi-objective optimization platform for aerodynamic design developed in this paper can be well applied to engineering practice.

Key words: multi-objective optimization, aerodynamic design, genetic algorithm, CFD, free form surface deformation technology

中图分类号:

V211

李权, 郭兆电, 雷武涛, 赵轲. 基于工程环境的气动多目标优化设计平台研究[J]. 航空学报, 2016, 37(1): 255-268.

LI Quan, GUO Zhaodian, LEI Wutao, ZHAO Ke. Engineering environment-based multi-objective optimization platform for aerodynamic design[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(1): 255-268.

参考文献

[1] 高正红.气动外形优化设计方法研究与存在问题[C]//大型飞机关键技术高层论坛暨中国航空学会2007年学术年会.北京:中国航空学会,2007:1-5.GAO Z H.The research progress in aerodynamic shape optimization methods[C]//2007 Academic Annual Meeting of the China Aviation Society.Beijing:China Aviation Society,2007:1-5(in Chinese).
[2] 余雄庆.飞机总体多学科设计优化的现状与发展方向[J].南京航空航天大学学报,2008,40(4):417-426.YU X Q.Multidisciplinary design optimization for aircraft conceptual and preliminary design:Status and directions[J].Journal of Nanjing University of Aeronautics & Astronautics,2008,40(4):417-426(in Chinese).
[3] JAMESON A.Computational fluid dynamics and airplane design:Its current and future impact[R].Cincinnati:Lecture in University of Cincinnati,2008:6-8.
[4] JASON E H,DAVID W Z.Aerodynamic optimization algorithm with integrated geometry parameterization and mesh movement[J].AIAA Journal,2010,48(2):400-413.
[5] MOUSAVI A,CASTONGUAY P,NADARAJAH S K.Survey of shape parameterization techniques and its effect on three-dimensional aerodynamic shape optimization[C]//Proceeding of the 18th AIAA Computational Fluid Dynamics Conference.Reston:AIAA,2007:25-28.
[6] SAMAREH J A.Aerodynamic shape optimization based on free-form deformation:AIAA-2004-4630[R].Reston:AIAA,2004.
[7] 陈波,高学林,袁新.基于NURBS 的叶片全三维气动优化设计[J].工程热物理学报,2006,27(5):763-765.CHEN B,GAO X L,YUAN X.Three-dimensional blade aerodynamic optimization design based on NURBS[J].Journal of Engineering Therophysics,2006,27(5):763-765(in Chinese).
[8] KOCH P N,SIMPSON T W,ALLEN J K,et al.Statistical approximations for multidisciplinary design optimization:the problem of size[J].Journal of Aircraft.1999,36(1):275-286
[9] 李董辉,童小娇,万中.数值最优化[M].北京:科学出版社,2005:45-47.LI D H,TONG X J,WAN Z.Numerical optimization[M].Beijing:Science Press,2005:45-47(in Chinese).
[10] VANDERPLAATS G.Very large scale optimization:NASA/CR-2002-211768[R].Washington,D.C.:NASA,2002.
[11] 张宇飞.基于先进CFD方法的民用客机气动优化设计[D].北京:清华大学,2010:13-16.ZHANG Y F.Aerodynamic optimization design of civil aircraft based on advanced CFD method [D].Beijing:Tsinghua University,2010:13-16(in Chinese).
[12] KULFAN B M.Universal parametric geometry represe-ntation method[J].Journal of Aircraft,2008,45(1):142-158.
[13] KULFAN B M,BUSSOLETTI J E.Fundamental parametric geometry representations for aircraft component shapes:AIAA-2006-6948[R].Reston:AIAA,2006.
[14] PEIGIN S,朱自强,EPSTEIN B.可应用于民机空气动力设计中的数值优化方法[J].航空学报,2014,35(1):58-69.PEIGIN S,ZHU Z Q,EPSTEIN B.Applicable numerical optimization methods for aerodynamic design of civil aircraft[J].Acta Aeronautica et Astronautica Sinica,2014,35(1):58-69(in Chinese).
[15] 崔逊学.多目标进化算法及其应用[M].北京:国防工业出版社,2008:13-14.CUI X X.Multi-objective evolutionary algorithm and its application[M].Beijing:National Defense Industry Press,2008:13-14(in Chinese).
[16] DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multi-objective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Computation,2002,6(2):181-197.
[17] REUTHER J J,JAMESON A,ALONSO J J,et al.Constrained multipoint aerodynamic shape optimization using an adjoint formulation and parallel computers,Part2[J].Journal of Aircraft,1999,36(2):61-74.
[18] EPSTEIN B,JAMESON A,PEIGIN S,et al.Comparative study of three-dimensional wing drag minimization by different optimization techniques:AIAA-2008-0326[R].Reston:AIAA,2008.
[19] 王晓鹏.遗传算法及其在气动优化设计中的应用研究[D].西安:西北工业大学,2000:40-46 WANG X P.Genetic algorithm and its application in aerodynamic optimization design[D].Xi'an:Northwestern Polytechnical University,2000:40-46(in Chinese).
[20] 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].北航航空航天大学学报,2008,34(7):739-742.WANG X L,ZHU Z Q,WU Z C,et al.Bi-objective optimization design of civil transport wing using N-S equations[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(7):739-742(in Chinese).

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于工程环境的气动多目标优化设计平台研究

Engineering environment-based multi-objective optimization platform for aerodynamic design

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	刘琦, 史勇杰, 胡志远, 徐国华. 共轴刚性旋翼气动及噪声特性的参数影响分析[J]. 航空学报, 2024, 45(9): 528856-528856.
[2]	崔壮壮, 原昕, 赵国庆, 井思梦, 招启军. 共轴刚性旋翼高速直升机前飞性能操纵策略影响[J]. 航空学报, 2024, 45(9): 529256-529256.
[3]	李广佳, 王红波, 张凯, 仪志胜. 临近空间太阳能无人机增升减阻技术综述[J]. 航空学报, 2024, 45(5): 529644-529644.
[4]	杨晓飞, 孙太璐, 孟德君, 尹海宝, 王咏梅. 兼顾多模式的核心机驱动风扇级气动设计方法[J]. 航空学报, 2024, 45(2): 128625-128625.
[5]	陆凤霞, 韦坤, 王春雷, 鲍和云, 朱如鹏. 直升机中减三相流金属屑末可达性[J]. 航空学报, 2024, 45(1): 128524-128524.
[6]	杨倩, 郑皓冉, 程显达, 董威. 基于引气控制的热气防冰优化设计方法[J]. 航空学报, 2023, 44(S2): 729285-729285.
[7]	任炯, 王刚, 胡国栋, 石晓露. 自适应Walsh函数有限体积方法[J]. 航空学报, 2023, 44(8): 127444-127444.
[8]	李春鹏, 钱战森, 孙侠生. 远程民机变弯度机翼后缘外形变形矩阵气动设计[J]. 航空学报, 2023, 44(7): 127335-127335.
[9]	曹文博, 刘溢浪, 张伟伟. 基于降阶模型和梯度优化的流场加速收敛方法[J]. 航空学报, 2023, 44(6): 127090-127090.
[10]	丁文俊, 柴亚军, 侯冬冬, 王驰宇, 张国宗, 毛昭勇. AUV&UAV跨域协同搜索与跟踪路径规划[J]. 航空学报, 2023, 44(21): 528471-528471.
[11]	刘思华, 王占莹, 李利剑, 张敏弟. 头型对射弹高速入水稳定性的影响[J]. 航空学报, 2023, 44(21): 528437-528437.
[12]	樊宇翔, 赵瑞, 左政玄, 杨光, 李宇. 气体引射效应对壁面热流和摩擦阻力的影响[J]. 航空学报, 2023, 44(21): 528587-528587.
[13]	张旭辉, 解春雷, 刘思佳, 闫溟, 邢思远. 智能变形飞行器发展需求及难点分析[J]. 航空学报, 2023, 44(21): 529302-529302.
[14]	乔建领, 韩忠华, 丁玉临, 宋文萍, 宋笔锋. 分层大气湍流场对远场声爆传播的影响[J]. 航空学报, 2023, 44(2): 626350-626350.
[15]	董杰忠, 楚武利, 张皓光, 罗波, 晏松. 基于因果网络分析的扩压叶栅波浪形前缘控制机理[J]. 航空学报, 2023, 44(19): 128336-128336.