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Aerodynamic optimization of hypersonic blunted waveriders based on symbolic regression
Guo SQ(郭帅旗); Liu W(刘文); Zhang CA(张陈安); Liu Y(刘洋); Wang FM(王发民)
通讯作者Liu, Wen(lw@imech.ac.cn)
发表期刊AEROSPACE SCIENCE AND TECHNOLOGY
2024
卷号144页码:18
ISSN1270-9638
摘要The previous waverider optimization was mainly focused on the original configuration with sharp leading edge. In actual application, the leading edge must be blunted for hypersonic flight, which can change the aerodynamic performance significantly. Thus, the optimum waverider with sharp leading edge doesn't mean that it's still optimum after bluntness. To solve the problem, this paper first investigates the influence mechanism of leading edge bluntness on the aerodynamic performance of the waveriders in detail. And the novel methodology of symbolic regression is employed to establish an analytical pressure increment model for the original waverider caused by the bluntness effects. Then an efficient aerodynamic model for the blunted waverider is constructed by combining traditional approximate methods and the pressure increment model, which is further incorporated into the Genetic Algorithm optimization framework. Results show that the resulting blunted optimized waveriders have distinctly different shapes and better aerodynamic performance compared to previous optimization that considers only sharp leading edge. And as the bluntness radius or the design lift increases, the improvement of lift-to-drag ratio (L/D) turns larger. Finally, when the center of pressure is constrained during the optimization, the blunted optimized waverider exhibits both better trim characteristic and higher L/D.
关键词Hypersonic waverider Aerodynamic model Symbolic regression Bluntness effect
DOI10.1016/j.ast.2023.108801
收录类别SCI ; EI
语种英语
WOS记录号WOS:001137568700001
关键词[WOS]BOUNDARY-LAYER DISPLACEMENT ; LEADING-EDGE BLUNTNESS ; DESIGN ; FLOW ; CONFIGURATIONS ; VEHICLES ; ANALOGY
WOS研究方向Engineering
WOS类目Engineering, Aerospace
资助项目National Natural Science Foundation of China[11902324] ; Strategic Priority Research Program (A) of Chinese Academy of Science[XDA17030000] ; Youth Innovation Promotion Association CAS[2023023]
项目资助者National Natural Science Foundation of China ; Strategic Priority Research Program (A) of Chinese Academy of Science ; Youth Innovation Promotion Association CAS
论文分区一类
力学所作者排名1
RpAuthorLiu, Wen
引用统计
文献类型期刊论文
条目标识符http://dspace.imech.ac.cn/handle/311007/94001
专题高温气体动力学国家重点实验室
作者单位Chinese Acad Sci, State Key Lab High Temp Gas Dynam, Inst Mech, Beijing 100190, Peoples R China
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GB/T 7714
Guo SQ,Liu W,Zhang CA,et al. Aerodynamic optimization of hypersonic blunted waveriders based on symbolic regression[J]. AEROSPACE SCIENCE AND TECHNOLOGY,2024,144:18.
APA 郭帅旗,刘文,张陈安,刘洋,&王发民.(2024).Aerodynamic optimization of hypersonic blunted waveriders based on symbolic regression.AEROSPACE SCIENCE AND TECHNOLOGY,144,18.
MLA 郭帅旗,et al."Aerodynamic optimization of hypersonic blunted waveriders based on symbolic regression".AEROSPACE SCIENCE AND TECHNOLOGY 144(2024):18.
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