Calculation grid and turbulence model for numerical simulating pressure fluctuations in high-speed train tunnel

Peng Ji , Tian-tian Wang , Fan Wu

Journal of Central South University ›› 2019, Vol. 26 ›› Issue (10) : 2870 -2877.

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Journal of Central South University ›› 2019, Vol. 26 ›› Issue (10) : 2870 -2877. DOI: 10.1007/s11771-019-4220-6
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Calculation grid and turbulence model for numerical simulating pressure fluctuations in high-speed train tunnel

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Abstract

Calculation grid and turbulence model for numerical simulating pressure fluctuations in a high-speed train tunnel are studied through the comparison analysis of numerical simulation and moving model test. Compared the waveforms and peak-peak values of pressure fluctuations between numerical simulation and moving model test, the structured grid and the SST k-ω turbulence model are selected for numerical simulating the process of high-speed train passing through the tunnel. The largest value of pressure wave amplitudes of numerical simulation and moving model test meet each other. And the locations of the largest value of the initial compression and expansion wave amplitude of numerical simulation are in agreement with that of moving model test. The calculated pressure at the measurement point fully conforms to the propagation law of compression and expansion waves in the tunnel.

Keywords

high-speed train / calculation grid / turbulence model / tunnel / pressure fluctuations

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Peng Ji, Tian-tian Wang, Fan Wu. Calculation grid and turbulence model for numerical simulating pressure fluctuations in high-speed train tunnel. Journal of Central South University, 2019, 26(10): 2870-2877 DOI:10.1007/s11771-019-4220-6

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References

[1]

TianH-qiTrain aerodynamics [M], 2007, Beijing, China Railway Publish House

[2]

WangT-t, JiangC-w, GaoZ-x, LeeC-hian. Numerical simulation of sand load applied on high-speed train in sand environment. [J]. Journal of Central South University, 2017, 24: 442-447

[3]

TaoY, YangM-z, QianB-s, WuF, WangT-tian. Numerical and experimental study on ventilation panel models in a subway passenger compartment. [J]. Engineering, 2019, 5: 329-336

[4]

ZhouD, TianH-q, ZhangJ, YangM-zhi. Pressure fluctuations induced by a high-speed train passing through a station. [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 135: 1-9

[5]

KimJ Y, KimK Y. Experimental and numerical analyses of train-induced unsteady tunnel flow in subway. [J]. Tunnelling and Underground Space Technology, 2007, 22: 166-172

[6]

SoperD, BakerC J, SterlingM. Experimental investigation of the slipstream development around a container freight train using a moving model facility. [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 135: 105-117

[7]

BellenoueM, MoriniereV, KageyamaT. Experimental 3-D simulation of the compression wave, due to train-tunnel entry. [J]. Journal of Fluids and Structures, 2002, 16: 581-595

[8]

RiccoaP, BaronbA, MolteniP. Nature of pressure waves induced by a high-speed train travelling through a tunnel. [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2007, 95: 781-808

[9]

ZhangL, YangM-z, LiangX-f, ZhangJian. Oblique tunnel portal effects on train and tunnel aerodynamics based on moving model tests. [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2017, 167: 128-139

[10]

EndoH, MeguroF, OtaM. Small model experiment on the gradient of pressure wave by entering the tunnel of a conventional limited express. [J]. Proceedings of the Japan Society for Photoelasticity, 2014, 14: 42-47

[11]

ZhouDanResearch on the long tunnel and tunnel group’s aerodynamic algorithm and its application [D], 2007

[12]

OgawaT, FujiiK. Numerical investigation of three-dimensional compressible flows induced by a train moving into a tunnel. [J]. Computers and Fluids, 1997, 26: 565-585

[13]

WangT-t, LeeC-x, YangM-zhi. Influence of enlarged section parameters on pressure fluctuations in a high-speed train tunnel. [J]. Journal of Central South University, 2018, 25: 2831-2840

[14]

WangT-t, WuF, YangM-z, JiP, QianB-sen. Reduction of pressure fluctuations in a high-speed train tunnel by cross-section increase. [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2018, 183: 235-242

[15]

ZhangL, HurowK, StollN, LiuHui. Influence of the geometry of equal-transect oblique tunnel portal on compression wave and micro-pressure wave generated by high-speed trains entering tunnels. [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2018, 178: 1-17

[16]

HemidaH, GilN, BakerC J. LES of the slipstream of a rotating train. [J]. Journal of Fluids Engineering, 2010, 132: 1031-1039

[17]

ChenJ-w, GaoG-j, ZhuC-li. Detached-eddy simulation of flow around high-speed train on a bridge under cross winds. [J]. Journal of Central South University, 2016, 23: 2735-2746

[18]

MalekiS, BurtonD, ThompsonM C. Assessment of various turbulence models (ELES, SAS, URANS and RANS) for predicting the aerodynamics of freight train container wagons. [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2017, 170: 68-80

[19]

MordenJ A, HemidaH, BakerC J. Comparison of RANS and detached eddy simulation results to wind-tunnel data for the surface pressures upon a class 43 high-speed train. [J]. Journal of Fluids Engineering, 2015, 137: 1-9

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