Numerical optimization in a structured/unstructured grid
-
摘要: 非结构网格因其在处理外形方面所具有的特殊优越性而倍受关注.在结构/非结构网格中做了粘性流动的数值优化计算,优化计算包括单目标和双目标气动优化,以及反设计计算,即从初始翼型不断修型而实现给定翼型的外形及压力分布的目标.算例及其结果分析证明了该方法用于翼型的修型和设计计算的有效性.Abstract: Much attention had been shifted to the unstructured grid methods. It was due to the relative ease with which these methods could be applied to solve flow problems around complex geometries and the ease with which local refinement of an unstructured grid could be carried out. Numerical optimization and inverse design computation with the viscous flow field were carried out on a structured/unstructured grid. Both mono-objective/bi-objective aerodynamic optimization were included in the numerical optimization. The conventional inverse design, in which the airfoil shape was modified by the required target pressure distribution imposed on an initial airfoil, was realized by present optimization method. Numerical results illustrate that the present method is an efficient tool for airfoil design.
-
Key words:
- objective function /
- grid generation /
- optimization method /
- unstructured grid
-
[1] 朱自强,吴子牛,李 津,等. 应用计算流体力学[M]. 北京:北京航空航天大学出版社, 1998 Zhu Ziqiang, Wu Ziniu, Li Jin, et al. Application computational fluid dynamics[M]. Beijing:Beijing University of Aeronautics and Astronautics Press,1998(in Chinese) [2] 王 平,朱自强,拓双芬,等. 二维结构/非结构混合网格的生成及其流场模拟[J]. 航空学报, 2001, 22(6):536~538 Wang Pin, Zhu Ziqiang, Tuo Shuangfen, et al. 2D structured/unstructured grid generation and simulating of flow[J]. Acta Aeronautica et Astronautica Sinica,2001,22(6):536~538(in Chinese) [3] Lion M S. Progress towards an improved CFD method :AUSM+. AIAA 95-1701, 1995 [4] Baldwin B S, Lomax H. Thin layer approximation algebraic model for separated turbulent flow. AIAA 78-257,1978 [5] 朱自强,李海明,李 津. 空气动力学/电磁学双学科优化方法的讨论[J]. 中国科学(E辑),2000,30(3):208~215 Zhu Ziqiang, Li Haiming, Li Jin.A study of aerodynamic/electromagnetism bidisciplinapy optimization method[J].Science in China(series E),2000,30(3):208~215(in Chinese) [6] Powell, MJD. An efficient method for finding the minimum of a function of several variables without calculation derivatives. Computer Journal, 1964, 7:155~162 [7] 吁日新.多目标/多学科优化方法的研究. 北京:北京航空航天大学,2002 Yu Rexin. A study of multiobjective/multidisciplinary optimization method. Beijing:Beijing University of Aeronautics and Astronautics, 2002(in Chinese) [8] Zhu Z Q, Islam Z, Zhu Y K. The numerical optimization computation of fluid/electromagnetic fields[J]. Comp Fluid Dyn J, 1998,7(2):229~244 [9] Hager J O, Eyi S, Lee K D. Multi-point design of transonic airfoils using optimzation. AIAA 92-425,1992 期刊类型引用(15)
1. 张飞桥，张亦驰，严皓. 基于改进卷积网络的终端区4D航迹预测与冲突检测. 科学技术与工程. 2024(05): 2150-2157 . 
百度学术2. 吴明功，毕可心，温祥西，孙继昆. 基于飞行冲突网络最优支配集的冲突调配策略. 北京航空航天大学学报. 2023(02): 242-253 . 
本站查看3. 岳仁田，马赵飞. 基于几何关系的无人机低空飞行冲突探测与解脱策略. 中国安全科学学报. 2023(05): 112-120 . 百度学术4. 郭华，郭小和. 改进速度障碍法的无人机局部路径规划算法. 航空学报. 2023(11): 271-281 . 百度学术5. 杨建航，张福彪，王江. 基于可达集的无人机低空飞行冲突解脱算法. 北京航空航天大学学报. 2023(07): 1813-1827 . 本站查看6. 王尔申，宋远上，佟刚，王传云，曲萍萍，徐嵩. 基于SVM的低空飞行冲突探测改进模型. 北京航空航天大学学报. 2022(01): 8-14 . 本站查看7. 张宏宏，甘旭升，孙静娟，王宁，陈致远. 针对合作型无人机的最优防相撞策略. 计算机工程与应用. 2022(04): 290-297 . 百度学术8. 高扬，郭钒，陈靖淞，李高磊，王向章. 融合空域无人机与有人机冲突风险预测与解脱. 安全与环境学报. 2022(06): 3288-3294 . 百度学术9. 牛胜华，韩佩. 智能巡查机器人自主避撞系统设计. 电子设计工程. 2021(04): 155-158+163 . 百度学术10. 王红勇，邓涛涛，徐文强. 基于调速的飞行冲突探测与解脱方法. 科学技术与工程. 2021(13): 5584-5591 . 百度学术11. 王新语，夏侯云翔，王耀锐. 基于复杂网络的空中交通流量控制系统设计. 自动化技术与应用. 2021(09): 137-141+151 . 百度学术12. 杨文达，吴明功，温祥西，毕可心，蒋旭瑞. 基于速度障碍法的三维确定型冲突探测模型. 西华大学学报(自然科学版). 2021(06): 1-6 . 百度学术13. 焦卫东，姚军强，王瑞冬. 基于凸包围盒的飞行冲突检测算法. 中国安全科学学报. 2021(12): 32-38 . 百度学术14. 张宏宏，甘旭升，李昂，高志强，徐鑫宇. 基于速度障碍法的无人机避障与航迹恢复策略. 系统工程与电子技术. 2020(08): 1759-1767 . 百度学术15. 徐鹏，康雪晶. 改进互动速度障碍的多机器人协同避障. 自动化与仪表. 2020(09): 35-39 . 百度学术其他类型引用(22)
-
百度学术
点击查看大图
计量
- 文章访问数: 1913
- HTML全文浏览量: 80
- PDF下载量: 8
- 被引次数: 37
下载:
