1E35 Aerodynamic noise optimization of streamlined shape of high speed trains(Environment and Energy)
-
- SUN Zhenxu
- Key Laboratory for Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences
-
- YANG Guowei
- Key Laboratory for Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences
-
- ZHAO Guilin
- Key Laboratory for Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences
説明
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 has been firstly introduced in the present paper, which could take all 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. In order 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, indicating that it is feasible to perform aerodynamic noise optimization for high speed trains with the use of Kriging surrogate model.
収録刊行物
-
- The Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH
-
The Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (0), _1E35-1_-_1E35-11_, 2015
一般社団法人 日本機械学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390282680879759360
-
- NII論文ID
- 110010044561
-
- ISSN
- 24243167
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可