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基于自由变形技术的Ahmed模型气动减阻优化 被引量:8

Aerodynamic Drag Reduction of Ahmed Model Based on Free Form Deformation
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摘要 针对目前汽车气动减阻中基于工程师经验的试凑法所存在的盲目性和低效率,以及气动优化设计中车身曲面难于参数化等问题,将自由变形方法引入汽车气动减阻优化设计中,为减阻优化设计提供一种快速、有效的参数化方法.文中以外形简单的Ahmed模型为研究对象,根据正交试验设计构建样本空间,采用FFD方法对各样本点模型进行参数化,通过CFD仿真获得各样本的气动阻力系数;建立3种常用的近似模型,选择可信度最高的RBF模型构建近似模型,采用多岛遗传算法求解近似模型的最优值,根据优化结果重新构建最优模型并采用CFD计算其气动阻力系数.计算结果显示优化后的Ahmed模型气动阻力系数减少了51.96%. At present,the most common approach for vehicle aerodynamic drag reduction is trial and error method,which completely depended on the engineers' experience.Inevitably,this method is certain blindness and low efficiency.Moreover,it is quite difficult to parameterize the auto body in the aerodynamic optimization design.To solve these problems,a fast and effective parameterization method named FFD(free form deformation)was introduced into the vehicle aerodynamic optimization design.Firstly,taking the Ahmed model as the simulation object,sample space was constructed based on the orthogonal array experiment design,and FFD method was used to parameterize the model at each sample point.Secondly,the aerodynamic drag coefficient of each sample was confirmed by CFD simulation.Then,according to the sample space and computational results obtained by CFD,three kinds of approximate model were constructed,and the RBF model with highest credibility was selected to build the approximate model.Finally,the multi-island genetic algorithm was employed to get the optimal combination of the design variables.To validate the reliability of the final results,a new model was reconstructed according to the results of the optimization,and aerodynamic drag coefficient was computed by CFD again.The computational results show that the Ahmed model aerodynamic drag coefficient can bedecreased by 51.96% after optimization,which confirms that FFD method deserves to be popularized in vehicle aerodynamic optimization design.
作者 汪怡平 郭承奇 王涛 黎帅 姚云龙 WANG Yi-ping;GUO Cheng-qi;WANG Tao;LI Shuai;YAO Yun-long(School of Automotive Engineering, Wuhan University of Technology, Wuhan, Huhei 430070, China;State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, Jilin 130025, China)
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2018年第3期221-228,共8页 Transactions of Beijing Institute of Technology
基金 国家自然科学基金资助项目(51775395) 国家重点实验室开放基金资助项目(20121111) 中央高校基本科研业务费专项资金资助项目(2017II18XZ)
关键词 气动减阻 自由变形 Ahmed模型 CFD仿真 RBF模型 aerodynamic drag reduction FFD (free form deformation) Ahmed model CFDsimulation RBF approximate model
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  • 1陈波,袁新.基于NURBS三维造型的粘性气动最优化设计技术[J].工程热物理学报,2005,26(5):764-766. 被引量:10
  • 2穆雪峰,姚卫星,余雄庆,刘克龙,薛飞.多学科设计优化中常用代理模型的研究[J].计算力学学报,2005,22(5):608-612. 被引量:152
  • 3Hoist T L. Genetic Algorithms Applied to Multi--objective Aerodynamic Shape Optimization [R]. Chicago : NASA/TM-05-212846,2005. 被引量:1
  • 4Deb K, Agrawal S, Pratap A, et al. A Fast Elitist Non- dominated Sorting Genetic Algorithm for Multi -- objective Optimization.. NSGA -- II [ C]// Kanpur Genetic Algorithms Laboratory Report. Kanpur: Indian Institute of Technology Kanpur, 2000. 被引量:1
  • 5Nestor V Q, Raphael T H, Wei S, et al. Surrogate --based Analysis and Optimization[J]. Aerospace Sciences, 2005,41 : 1-28. 被引量:1
  • 6Kesseler E, Vankao W J. Mullidiseiplinary Design Analysis and Multi-objective Optimization Applied to Aircraft Wing[ J]. Journal WSEAS Transactions on Systems and Control,2006,1 (2). 被引量:1
  • 7Ranlesh Padmanaban, Radha Krishnan, Malik Kayupov. Multi-Disciplinary Optimization of a Sport Utility Vehicle[ C ]. SAE Paper 2004 - 05 AE-271. 被引量:1
  • 8Pierret S. Muhi-objective and Muhi-Disciplinary Optimization of Three- dimensional Turbomachinery Blades [ C ]. 6^th World Congresses of Structural and Multidisciplinary Optimization,2005, May 30 June 03, Brazil. 被引量:1
  • 9Nestor V Queipo, Raphael T Haftka, Wei Shyy, et al. Surrogate- based Analysis and Optimization [J]. Aerospace Sciences, 2005, 41:1 -28. 被引量:1
  • 10Hong Chen, Ryozo Ooka, Shinsuke Kato. Study on Optimum Design Method for Pleasant Outdoor Thermal Environment Using Genetic Algorithms and Coupled Simulation of Convection, Radiation and Conduction[ J]. Building and Environment,2008,43 ( 1 ) : 18 -31. 被引量:1

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