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Deng Qin

Researcher at Southwest Jiaotong University

Publications -  11
Citations -  95

Deng Qin is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Aerodynamics & Noise (video). The author has an hindex of 2, co-authored 5 publications receiving 30 citations.

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Effect of RANS Turbulence Model on Aerodynamic Behavior of Trains in Crosswind

TL;DR: In this paper, 6 different turbulence models are used to simulate the flow characteristics, surface pressure and aerodynamic forces of the train in cross-wind, respectively, and the results show that the most accurate model for predicting the surface pressure is SST k-ω, followed by Realizable k-e.
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Study on the aerodynamic noise characteristics of high-speed pantographs with different strip spacings

TL;DR: In this paper, the effect of the strip spacing on the aerodynamic noise characteristics of the high-speed train pantograph is studied using the detached eddy simulation (DES) and its aerodynamic variation is verified by flows around a cylinder with a finite span.
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Step-by-Step Numerical Prediction of Aerodynamic Noise Generated by High Speed Trains

TL;DR: In this paper , a step-by-step calculation of each local aerodynamic noise source is used to obtain the superimposed value of the far-field noise, and the results show that the local noise sources of high-speed trains and the whole noise source conform to the principle of sound source energy superposition.
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Aerodynamic characteristics of the evacuated tube maglev train considering the suspension gap

TL;DR: In recent years, the evacuated tube maglev train (ETMT) has gradually become the research hotspot due to the increasing demand of the travelling speed and the suspension gap related to running safety as discussed by the authors.
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Numerical study on the aerodynamic and acoustic scale effects for high-speed train body and pantograph

TL;DR: In this paper , the aerodynamic and acoustic scale effects of high-speed train bodies and pantographs are numerically studied, by changing the model scale, and the results show that as the scale of the model decreases, the root mean square (RMS) value and the degree of fluctuation of aerodynamic drag coefficient of the pantograph increase.