Journal Tittle: Acta Mechanica Sinica
Article Tittle: Aerodynamic Shape Optimization of an Urban Maglev Train
Authors: Z. X. Sun, M. Y. Wang, L. Y. Wei, F. B. Kong, G. W. Yang
Novelty/impact/significance
1. The aerodynamic shape optimization strategy has been proposed with use of Cross-Validation based Kriging model, improved two-point infill criterion and NSGA-II algorithm.
2. The Local Shape Function method has been successfully applied to the urban maglev train to achieve fast and reasonable shape deformations.
Scientific question
How to significantly improved the aerodynamic performance of an urban maglev train.
Key of how
The aerodynamic lift of the leading car has been increased by 33.25%, and the drag of the whole train has been reduced by 4.44%.
Major points
1. Strong nonlinear relationship exists between the design variables and objectives.
2. The length of the streamline shows little influence on aerodynamic lift of the leading car but great influence on the drag of the whole train.
3. The nose height affects severely both aerodynamic lift of the leading car and drag of the whole train.
Funding of the work
This work was supported by Youth Innovation Promotion Association CAS (2019020) and Advanced Rail Transportation Special Plan in National Key Research and Development Project under 2016YFB1200601-B13 and 2016YFB1200602-09. And Computing Facility for the ‘Era’ petascale supercomputer of Computer Network Information Center of Chinese Academy of Sciences is gratefully acknowledged.
Please go to the website to read this article: http://ams.cstam.org.cn/EN/abstract/abstract157439.shtml