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Author: search.filters.author.Sun, Zhen XuSubject: search.filters.subject.high-speed trains

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    Item type:Publication,
    Effect of height of noise barriers on sound source characteristics of aerodynamic noise from high-speed trains
    (2025-12-01)
    Lu, Wei Shuang
    ;
    Huang, Jun Hui
    ;
    Sun, Zhen Xu
    ;
    Prasert, Prapamonthon
    ;
    Guo, Di Long
    This paper aims to explore the influence of different noise barrier heights on the sound source generation mechanisms of higher-speed trains (400 km/h) using a combination of delayed detached eddy simulation (DDES) and Ffowcs Williams-Hawkings (FW-H) equations. Four cases are investigated and compared, i.e. 1) no barrier, 2) 2.3 m, 3) 3.3 m, and 4) 4.3 m single-side barriers on a bridge. Numerical results show that the presence of noise barriers causes an increase in sound source intensity ranging from 2.1 to 2.8 dB(A). However, the relationship between the barrier height and the increase in sound source intensity varies across different parts of the train. Compared with the head and frontmiddle cars, the boundary layer is thicker around the rear-middle and tail car areas. A thick boundary layer introduces the influence of the crash wall, causing asymmetry and increases in sound source intensity. This is due to the deceleration region formed between the crash wall and the rail surface, as well as the acceleration region formed by the contraction of the flow channel in the noise barrier, both of which influence the sound source’s characteristics. In addition, higher barriers exacerbate asymmetry and increases in sound source intensity.
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    Investigation of aerodynamic shape optimization of cross-sectional body of high-speed train
    (2025-12-01)
    Prasert, Prapamonthon
    ;
    Sun, Zhen Xu
    ;
    Yao, Shuan Bao
    ;
    Bai, Ye
    ;
    Guo, Di Long
    A train body’s cross-sectional shape has a significant impact on aerodynamic drag and operational safety in high-speed trains (HSTs). This study extracts five design variables from a real-world HST body: height, width, side arc radius, arc radius at the connection between the side and the roof, and arc radius at the connection between the side and the train’s bottom. The cross-validated Kriging surrogate model and the genetic algorithm are used to perform two types of aerodynamic optimization, with the cross-sectional area as a constraint. Cross-sectional shapes are optimized in both windless and windy conditions. Numerical results indicate that in a windless environment, the aerodynamic drag coefficient of the whole train is reduced by 2.4%; in a windy condition, the aerodynamic drag coefficient of the entire vehicle is reduced by 2.4%, and the aerodynamic lateral force of the leading car is reduced by 37.8%. These suggest that a flat and wide shape helps to reduce not only overall aerodynamic drag in a windless environment but also aerodynamic load in a windy environment, which can be accomplished by reducing the area of the side wall and top region, lowering the train body’s height, increasing its width, and lowering the radius of the side and top arcs.
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