Adjoint Optimization Method for Head Shape of High-‎Speed Maglev Train

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Li H. C.; Yang Z. M.; Zhang L.; Li R.

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Journal Paper

Paper Information

Journal: JOURNAL OF APPLIED FLUID MECHANICS (JAFM) Year:2021 | Volume:14 | Issue:6 Page(s): 1839-1850

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Information Journal Paper

Title

Adjoint Optimization Method for Head Shape of High-‎Speed Maglev Train

Author(s)

Li H. C. | Yang Z. M. | Zhang L. | Li R. | Issue Writer Certificate

Keywords

Maglev

Aerodynamic drag

Adjoint method

Optimization.‎

Abstract

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%‎‎.

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