On the aerodynamic loads when a high speed train passes under an overhead bridge

Liang, Xifeng; Li, Xiao Bai; Guang, Chen; Sun, Bo; Wang, Zhe; Xiong, Xiaohui; Yin, Juanjuan; Tang, Ming; Li, Xue Liang; Krajnović, Siniša

doi:10.1016/j.jweia.2020.104208

Cited by 29 publications

(6 citation statements)

References 29 publications

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“…Mesh generation was conducted in the commercial software STAR-CCM+ developed by Siemens using the Trimmer and Prism Layer Mesher for mesh discretisation of the calculation area (Liang et al 2020). In the settings, the percentage of base of the maximum cell size in space is 200, and the number of prism layers is 5.…”

Section: Computational Meshmentioning

confidence: 99%

Pedigree Aerodynamic Shape Design of High-Speed Trains

2023

JAFM

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The aerodynamic performance of high-speed trains is closely related to their head shape. As each train set has its own modelling system, the aerodynamic shape design of head type of a high-speed train must follow a pedigree modelling approach. The train pedigree characteristics directly reflect its aerodynamic performance. The focus of this study is the extraction and application of the Shinkansen train pedigree features. First, large-scale differences in train head shapes are eliminated by dimensionless elimination. Second, the Shinkansen model pedigree features are extracted using similarity calculations. Finally, based on the constraint range of pedigree features on the new model shape, the concept head shape is designed with reference to the shape and surface parameters of high-speed trains, and its aerodynamic performance is verified. The results of the aerodynamic verification indicate that the concept design reduces the drag by more than 10% compared to the E2 Series base model. Additionally, the results demonstrate that the extraction and design application of train pedigree features can help a new train to develop its aerodynamic shape within its own pedigree modelling system, thus enabling the synergistic design of train shape and aerodynamic performance.

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Section: Computational Meshmentioning

confidence: 99%

Pedigree Aerodynamic Shape Design of High-Speed Trains

2023

JAFM

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“…Unsteady incompressible N-S equations are used to solve the flow field for the cases with a train running on the bridge and pass by the wind barrier. A Shear Stress Transport (SST) turbulence model is widely used in numerical simulation of the flow around the train (Liang et al, 2020;Yao et al, 2020), which is designed to deal with adverse pressure gradients and separated flows (Menter et al, 2003). The SST k-ω turbulence model is used as the turbulence closure for the RANS equations listed below:…”

Section: Numerical Schemesmentioning

confidence: 99%

Numerical investigation on the crosswind effects on a train running on a bridge

Zou

Wang

2020

Engineering Applications of Computational Fluid Mechanics

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“…At present, some scholars have studied the influence of different operating environments on the aerodynamic performance of high-speed trains (Xu et al 2020;Dong et al 2020;Liang et al 2020a;Xiao et al 2020;Xiang et al 2014;Cai et al 2018;Liu et al 2018). Cui et al (2011) adopted fluid-solid coupling vibration to analyze the aerodynamic and dynamic response of high-speed trains passing through platforms under crosswind.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Response Analysis of High-Speed Trains Passing through High Platforms under Crosswind

2022

JAFM

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On the aerodynamic loads when a high speed train passes under an overhead bridge

Cited by 29 publications

References 29 publications

Pedigree Aerodynamic Shape Design of High-Speed Trains

Pedigree Aerodynamic Shape Design of High-Speed Trains

Numerical investigation on the crosswind effects on a train running on a bridge

Aerodynamic Response Analysis of High-Speed Trains Passing through High Platforms under Crosswind

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