An Investigation into the Effects of the Reynolds Number on High-Speed Trains Using a Low Temperature Wind Tunnel Test Facility

Han, Yundong; Chen, Dawei; Liu, Shaoqing; Xu, Gang

doi:10.32604/fdmp.2020.06525

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…Nowadays, most research uses a scaled model to reduce computational costs, which results in a much lower Reynolds number than the corresponding full-scale test [15]. Besides, if the Reynolds number is large enough, the effect on the aerodynamic parameters is relatively small but it is often difficult in the scaled-model test [16]. This indicates the importance of further research into the impact of different Reynolds numbers, particularly for NG-HSTs.…”

Section: Introductionmentioning

confidence: 99%

Effect of Reynolds number on the wake of a Next-Generation High-Speed Train using CFD analysis

Arafat

Ishak²,

Mohammad³

et al. 2023

CFDL

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Improvement to the next-generation high-speed train (NG-HST) is ongoing particularly in achieving a higher operating speed. Consequently, the aerodynamic effect of the train will be more critical as it affects the development of a wake flow characterized by complex and unsteady structures. Although the effect of Reynolds number (Re) on aerodynamic forces is negligible, its effect on the wake of NG-HSTs is unknown. In this study, the Re ranging from 7.42 × 105 to 1.62 × 106 was used to examine the characteristics of vortex structures, streamline distributions, velocity characteristics, and pressure characteristics in the wake region of an NG-HST. The Delayed Detached Eddy Simulation (DDES) is used as the turbulence model. In addition, the simulation results were compared with the previous wind tunnel experimental data. The results indicated no significant changes in the overall wake flow structure when Re was increased. According to power spectral density analysis, increasing the Reynolds number increased the turbulence intensity of the wake which gradually dissipated as the distance from the train increased. The findings of the study could be used to better understand the flow characteristics at the wake of NG-HSTs for future development.

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Section: Introductionmentioning

confidence: 99%

Effect of Reynolds number on the wake of a Next-Generation High-Speed Train using CFD analysis

Arafat

Ishak²,

Mohammad³

et al. 2023

CFDL

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“…This is especially true for thermal conductivity and dynamic viscosity, the experimental determination of which presents significant difficulties. Therefore, it is important to consider the equations that are the most reliable and convenient for calculation with sufficient approximation for practice [14,15].…”

Section: Introductionmentioning

confidence: 99%

Thermal Conductivity and Dynamic Viscosity of Highly Mineralized Water

Mohamad¹,

Jawad²,

Guerrero³

et al. 2022

Fluid Dynamics &Amp; Materials Processing

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Further development in the field of geothermal energy require reliable reference data on the thermophysical properties of geothermal waters, namely, on the thermal conductivity and viscosity of aqueous salt solutions at temperatures of 293-473 K, pressures Ps = 100 MPa, and concentrations of 0-25 wt.%. Given the lack of data and models, especially for the dynamic viscosity of aqueous salt solutions at a pressure of above 40 MPa, generalized formulas are presented here, by which these gaps can be filled. The article presents a generalized formula for obtaining reliable data on the thermal conductivity of water aqueous solutions of salts for Ps = 100 MPa, temperatures of 293-473 K and concentrations of 0%-25% (wt.%), as well as generalized formulas for the dynamic viscosity of water up to pressures of 500 MPa and aqueous solutions of salts for Ps = 100 MPa, temperatures 333-473 K, and concentration 0%-25%. The obtained values agree with the experimental data within 1.6%.

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“…Collignan et al [10] and Akbari et al [11] simulated the indoor radon migration based on convective-diffusion without considering the effect of radon decay term. When the radon migrates in the confined space with high air velocity or complex geometric structure, the turbulence flow must be considered for the numerical model [12,13]. In this paper, we established a three-dimensional model of radon migration in confined space with consideration of turbulence flow and radon diffusion-convection process.…”

Section: Introductionmentioning

confidence: 99%

Convection-Diffusion Model for Radon Migration in a Three-Dimensional Confined Space in Turbulent Conditions

Feng¹,

Xiong²,

Chen³

et al. 2020

Fluid Dynamics &Amp; Materials Processing

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Convection and diffusion are the main factors affecting radon migration. In this paper, a coupled diffusion-convection radon migration model is presented taking into account turbulence effects. In particular, the migration of radon is simulated in the framework of the k-ε turbulence model. The model equations are solved in a complex 3D domain by the finite element method (FEM). Special attention is paid to the case study about radon migration in an abandoned air defense shelter (AADS). The results show that air convection in a confined space has a great influence on the radon migration and the radon concentration is inversely proportional to the wind speed.

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An Investigation into the Effects of the Reynolds Number on High-Speed Trains Using a Low Temperature Wind Tunnel Test Facility

Cited by 10 publications

References 10 publications

Effect of Reynolds number on the wake of a Next-Generation High-Speed Train using CFD analysis

Effect of Reynolds number on the wake of a Next-Generation High-Speed Train using CFD analysis

Thermal Conductivity and Dynamic Viscosity of Highly Mineralized Water

Convection-Diffusion Model for Radon Migration in a Three-Dimensional Confined Space in Turbulent Conditions

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