Aerodynamic characteristics of the train–SENB (semi-enclosed noise barrier) system: A high-speed model experiment and LES study
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering
Reference57 articles.
1. Wind tunnel analysis of the slipstream and wake of a high-speed train;Bell;J. Wind Eng. Ind. Aerod.,2014
2. Railway application–aerodynamics,2013
3. Aerodynamic behaviour investigation of the new EMUV250 train to cross wind;Cheli;J. Wind Eng. Ind. Aerod.,2010
4. Dynamic analysis of the effect of nose length on train aerodynamic performance;Chen;J. Wind Eng. Ind. Aerod.,2019
5. Analysis of the aerodynamic effects of different nose lengths on two trains intersecting in a tunnel at 350 km/h;Chen;Tunn. Undergr. Space Technol.,2017
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