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Surrogate Based Optimization of Aerodynamic Noise for Streamlined Shape of High Speed Trains
Sun ZX(孙振旭); Zhang Y; Yang GW(杨国伟); Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
发表期刊APPLIED SCIENCES-BASEL
2017-02-01
卷号7期号:2
ISSN2076-3417
摘要Aerodynamic noise increases with the sixth power of the running speed. As the speed increases aerodynamic noise becomes predominant and begins to be the main noise source at a certain high speed. As a result aerodynamic noise has to be focused on when designing new high-speed trains. In order to perform the aerodynamic noise optimization the equivalent continuous sound pressure level (SPL) has been used in the present paper which could take all of the far field observation probes into consideration. The Non-Linear Acoustics Solver (NLAS) approach has been utilized for acoustic calculation. With the use of Kriging surrogate model a multi-objective optimization of the streamlined shape of high-speed trains has been performed which takes the noise level in the far field and the drag of the whole train as the objectives. To efficiently construct the Kriging model the cross validation approach has been adopted. Optimization results reveal that both the equivalent continuous sound pressure level and the drag of the whole train are reduced in a certain extent.
关键词Aerodynamic Noise Nlas Kriging Model Cross Validation Equivalent Continuous Spl
DOI10.3390/app7020196
收录类别SCI
语种英语
WOS记录号WOS:000395488900087
关键词[WOS]KRIGING MODEL ; NOSE SHAPE ; IDENTIFICATION
WOS研究方向Chemistry ; Materials Science ; Physics
WOS类目Chemistry, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
项目资助者National Natural Science Foundation of China(11302233)
课题组名称LMFS流固耦合与数值计算(LHO)
论文分区Q3
力学所作者排名1
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://dspace.imech.ac.cn/handle/311007/60592
专题流固耦合系统力学重点实验室
高温气体动力学国家重点实验室
通讯作者Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
推荐引用方式
GB/T 7714
Sun ZX,Zhang Y,Yang GW,et al. Surrogate Based Optimization of Aerodynamic Noise for Streamlined Shape of High Speed Trains[J]. APPLIED SCIENCES-BASEL,2017,7,2,.
APA 孙振旭,Zhang Y,杨国伟,&Sun, ZX .(2017).Surrogate Based Optimization of Aerodynamic Noise for Streamlined Shape of High Speed Trains.APPLIED SCIENCES-BASEL,7(2).
MLA 孙振旭,et al."Surrogate Based Optimization of Aerodynamic Noise for Streamlined Shape of High Speed Trains".APPLIED SCIENCES-BASEL 7.2(2017).
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