Adjoint Optimization Method for Head Shape of High- Speed Maglev Train
The head shape of a high-speed maglev train was optimized in this study, based on the adjoint method, and the aerodynamic drag of four optimized train models were simulated and compared using different control point generation methods. The effectiveness of using the adjoint method to develop a co...
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Isfahan University of Technology
2021
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oai:doaj.org-article:ad04a59d85664efbbab2cda61d1e910c2021-11-13T07:03:04ZAdjoint Optimization Method for Head Shape of High- Speed Maglev Train1735-3572https://doaj.org/article/ad04a59d85664efbbab2cda61d1e910c2021-01-01T00:00:00Zhttp://jafmonline.net/JournalArchive/download?file_ID=57326&issue_ID=1015https://doaj.org/toc/1735-3572The head shape of a high-speed maglev train was optimized in this study, based on the adjoint method, and the aerodynamic drag of four optimized train models were simulated and compared using different control point generation methods. The effectiveness of using the adjoint method to develop a compressible model for a maglev train was verified. The results show that the adjoint matrix optimization method can quickly and effectively capture the shape characteristics of the train head that are sensitive to aerodynamic resistance. When the design variables of the head are not defined separately, the grid control point set and surface control point set can be used to carry out the adjoint closed-loop optimization of the train head shape, and the exchange control point generation method can be used to perform closed-loop optimization. The results of a numerical simulation show that the optimized train model reduces aerodynamic resistance by approximately 4.8%.H. C. LiZ. M. YangL. ZhangR. LiIsfahan University of Technology articlemaglev; aerodynamic drag; adjoint method; optimization.Mechanical engineering and machineryTJ1-1570ENJournal of Applied Fluid Mechanics, Vol 14, Iss 6, Pp 1839-1850 (2021) |
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DOAJ |
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topic |
maglev; aerodynamic drag; adjoint method; optimization. Mechanical engineering and machinery TJ1-1570 |
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maglev; aerodynamic drag; adjoint method; optimization. Mechanical engineering and machinery TJ1-1570 H. C. Li Z. M. Yang L. Zhang R. Li Adjoint Optimization Method for Head Shape of High- Speed Maglev Train |
description |
The head shape of a high-speed maglev train was optimized in this study, based on the adjoint method, and the aerodynamic drag of four optimized train models were simulated and compared using different control point generation methods. The effectiveness of using the adjoint method to develop a compressible model for a maglev train was verified. The results show that the adjoint matrix optimization method can quickly and effectively capture the shape characteristics of the train head that are sensitive to aerodynamic resistance. When the design variables of the head are not defined separately, the grid control point set and surface control point set can be used to carry out the adjoint closed-loop optimization of the train head shape, and the exchange control point generation method can be used to perform closed-loop optimization. The results of a numerical simulation show that the optimized train model reduces aerodynamic resistance by approximately 4.8%. |
format |
article |
author |
H. C. Li Z. M. Yang L. Zhang R. Li |
author_facet |
H. C. Li Z. M. Yang L. Zhang R. Li |
author_sort |
H. C. Li |
title |
Adjoint Optimization Method for Head Shape of High- Speed Maglev Train |
title_short |
Adjoint Optimization Method for Head Shape of High- Speed Maglev Train |
title_full |
Adjoint Optimization Method for Head Shape of High- Speed Maglev Train |
title_fullStr |
Adjoint Optimization Method for Head Shape of High- Speed Maglev Train |
title_full_unstemmed |
Adjoint Optimization Method for Head Shape of High- Speed Maglev Train |
title_sort |
adjoint optimization method for head shape of high- speed maglev train |
publisher |
Isfahan University of Technology |
publishDate |
2021 |
url |
https://doaj.org/article/ad04a59d85664efbbab2cda61d1e910c |
work_keys_str_mv |
AT hcli adjointoptimizationmethodforheadshapeofhighspeedmaglevtrain AT zmyang adjointoptimizationmethodforheadshapeofhighspeedmaglevtrain AT lzhang adjointoptimizationmethodforheadshapeofhighspeedmaglevtrain AT rli adjointoptimizationmethodforheadshapeofhighspeedmaglevtrain |
_version_ |
1718430275001647104 |