Influence of trains meeting on the ventilation performance of equipment compartment with independent air duct in high-speed train: numerical and experimental study

Yitong Wu, Wei Zhou, Xifeng Liang, Xinchao Su, Kewei Xu, Yutao Xia, Zhixin Wang, Sinisa Krajnović

Railway Engineering Science ›› 2024, Vol. 33 ›› Issue (1) : 127-150.

Railway Engineering Science ›› 2024, Vol. 33 ›› Issue (1) : 127-150. DOI: 10.1007/s40534-024-00355-3
Article

Influence of trains meeting on the ventilation performance of equipment compartment with independent air duct in high-speed train: numerical and experimental study

Author information +
History +

Abstract

During the train meeting events, train equipment compartments are exposed to the worst pressure changes, potentially affecting the ventilation performance of equipment, particularly for electrical facilities equipped with independent air ducts. In this paper, a two-step method is used for numerical computation: (1) obtaining the temporal and spatial transient node data of the flow field sections during the train-passing simulation and (2) using the data as the input data for the equipment compartment simulation. In addition, this paper also compares the difference in equipment ventilation between the single-train and train-passing scenarios in real vehicle tests. The results indicate that the primary factors influencing ventilation effectiveness are the aerodynamic compression and deceleration of airflow induced by the other train’s nose, as well as the instability of the external flow field in the wake of the other train. During train crossing, the air is forced into the air duct, with a maximum ratio of the airflow in-duct to the airflow out-duct reaching 3.2. The average mass flow falls below the rated mass flow for the converter. Compared to the rated air volume of converter, the maximum suppression rates obtained from testing and simulation are – 24.5% and – 16.8%, respectively. Compared to the single-train operation, the maximum suppression rates obtained from testing and simulation are – 15% and – 18%, respectively. These findings provide valuable insights into the design and operation of high-speed trains.

Cite this article

Download citation ▾
Yitong Wu, Wei Zhou, Xifeng Liang, Xinchao Su, Kewei Xu, Yutao Xia, Zhixin Wang, Sinisa Krajnović. Influence of trains meeting on the ventilation performance of equipment compartment with independent air duct in high-speed train: numerical and experimental study. Railway Engineering Science, 2024, 33(1): 127‒150 https://doi.org/10.1007/s40534-024-00355-3

References

[1.]
Fujii K, Ogawa T. Aerodynamics of high-speed trains passing by each other. Comput Fluids, 1995, 24(8): 897-908
CrossRef Google scholar
[2.]
Chen Y, Wu Q. Study on unsteady aerodynamic characteristics of two trains passing by each other in the open air. J Vibroeng, 2018, 20(2): 1161-1178
CrossRef Google scholar
[3.]
Hermanns L, Giménez JG, Alarcón E. Efficient computation of the pressures developed during high-speed train passing events. Comput Struct, 2005, 83(10–11): 793-803
CrossRef Google scholar
[4.]
Srivastava S, Sivasankar G, Dua G. A review of research into aerodynamic concepts for high speed trains in tunnels and open air and the air-tightness requirements for passenger comfort. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2022, 236(9): 1011-1025
CrossRef Google scholar
[5.]
Du J, Zhang L, Yang M, et al.. Moving model experiments on transient pressure induced by a high-speed train passing through noise barrier. J Wind Eng Ind Aerodyn, 2020, 204 104267
CrossRef Google scholar
[6.]
Liu Y, Yang W, Deng E, et al.. Aerodynamic impacts of high-speed trains on city-oriented noise barriers: a moving model experiment. Alex Eng J, 2023, 68: 343-364
CrossRef Google scholar
[7.]
Meng S, Zhou D, Xiong X, et al.. The effect of the nose length on the aerodynamics of a high-speed train passing through a noise barrier. Flow Turbul Combust, 2022, 108(2): 411-431
CrossRef Google scholar
[8.]
Li C, Liu M, Chang R, et al.. Air pressure and comfort study of the high-speed train passing through the subway station. Sustain Cities Soc, 2022, 81 103881
CrossRef Google scholar
[9.]
Liang X, Chen G, Li X, et al.. Numerical simulation of pressure transients caused by high-speed train passage through a railway station. Build Environ, 2020, 184 107228
CrossRef Google scholar
[10.]
Zhou D, Tian H, Zhang J, et al.. Pressure transients induced by a high-speed train passing through a station. J Wind Eng Ind Aerodyn, 2014, 135: 1-9
CrossRef Google scholar
[11.]
Zhou D, Li J, Li X, et al.. Experimental study on ventilation shaft locations for alleviating transient pressure induced by high-speed trains passing through underground station. J Cent South Univ, 2023, 30(7): 2427-2440
CrossRef Google scholar
[12.]
Meng S, Li X, Chen G, et al.. Numerical simulation of slipstreams and wake flows of trains with different nose lengths passing through a tunnel. Tunn Undergr Space Technol, 2021, 108 103701
CrossRef Google scholar
[13.]
Wang Q, Hu Z, Liang X, et al.. Experimental simulation of alternating aerodynamic loads induced by high-speed trains passing in tunnels. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2023, 237(9): 1176-1184
CrossRef Google scholar
[14.]
Zhao J, Li R. A study of aerodynamic effects of high-speed trains through tunnels. Appl Mech Mater, 2011, 94–96: 1663-1667
CrossRef Google scholar
[15.]
C Baker, M Sterling (2004) The effects of the slipstreams of passing high speed trains on waiting passengers. In: Wind Engineering Society Conference, Cranfield
[16.]
S C Jordan (2008) An investigation of the slipstreams and wakes of trains and the associated effects on trackside people and objects. Dissertation, University of Birmingham
[17.]
Hu H, Xiang H, Liu K, et al.. Aerodynamic characteristics of moving vehicles of two trains passing each other on bridge under crosswinds. J Cent South Univ, 2022, 29(8): 2558-2573
CrossRef Google scholar
[18.]
Zhao Y, Zhang J, Li T, et al.. Aerodynamic performances and vehicle dynamic response of high-speed trains passing each other. J Mod Transp, 2012, 20(1): 36-43
CrossRef Google scholar
[19.]
Liu T, Chen Z, Zhou X, et al.. A CFD analysis of the aerodynamics of a high-speed train passing through a windbreak transition under crosswind. Eng Appl Comput Fluid Mech, 2018, 12(1): 137-151
[20.]
Wu H, Zhou Z. Study on aerodynamic characteristics and running safety of two high-speed trains passing each other under crosswinds based on computer simulation technologies. J Vibroeng, 2017, 19(8): 6328-6345
CrossRef Google scholar
[21.]
Ouyang D, Deng E, Ni Y, et al.. Evolution of flow field around high-speed trains meeting at the tunnel entrance under strong wind-rain environments. J Wind Eng Ind Aerodyn, 2023, 241 105537
CrossRef Google scholar
[22.]
Chen X, Liu T, Zhou X, et al.. Analysis of the aerodynamic effects of different nose lengths on two trains intersecting in a tunnel at 350 km/H. Tunn Undergr Space Technol, 2017, 66: 77-90
CrossRef Google scholar
[23.]
Li F, Luo J, Wang D, et al.. Aerodynamic characteristics when trains pass each other in high-speed railway shield tunnel. Appl Sci, 2022, 12(12): 6244
CrossRef Google scholar
[24.]
Zhang M, Yang Y, Lu L, et al.. Numerical simulation of two high speed trains passing by each other in a long tunnel. Appl Mech Mater, 2012, 117–119: 670-673
[25.]
Sun Z, Zhang Y, Guo D, et al.. Research on running stability of CRH3 high speed trains passing by each other. Eng Appl Comput Fluid Mech, 2014, 8(1): 140-157
[26.]
Raghunathan RS, Kim HD, Setoguchi T. Aerodynamics of high-speed railway train. Prog Aerosp Sci, 2002, 38(6–7): 469-514
CrossRef Google scholar
[27.]
Huang S, Li Z, Yang M. Aerodynamics of high-speed maglev trains passing each other in open air. J Wind Eng Ind Aerodyn, 2019, 188: 151-160
CrossRef Google scholar
[28.]
Xia Y, Liu T, Wang X, et al.. Piecewise linear representation of pressure wave data of high-speed trains traveling through tunnels. J Cent South Univ, 2023, 30(7): 2411-2426
CrossRef Google scholar
[29.]
Tian H, He H. Influence of various factors on the air pressure pulse from passing trains. Int J Heavy Veh Syst, 2005, 12(1): 60-68
CrossRef Google scholar
[30.]
Baker C, Jordan S, Gilbert T, et al.. Transient aerodynamic pressures and forces on trackside and overhead structures due to passing trains. Part 1: Model-scale experiments; Part 2: Standards applications. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2014, 228(1): 37-70
CrossRef Google scholar
[31.]
Liu T, Chen X, Li W, et al.. Field study on the interior pressure variations in high-speed trains passing through tunnels of different lengths. J Wind Eng Ind Aerodyn, 2017, 169: 54-66
CrossRef Google scholar
[32.]
Schwanitz S, Wittkowski M, Rolny V, et al.. Pressure variations on a train–Where is the threshold to railway passenger discomfort?. Appl Ergon, 2013, 44(2): 200-209
CrossRef Google scholar
[33.]
Peng Y, Fan C, Hu L, et al.. Tunnel driving occupational environment and hearing loss in train drivers in China. Occup Environ Med, 2019, 76(2): 97-104
CrossRef Google scholar
[34.]
Wang T, Wu F, Yang M, et al.. Reduction of pressure transients of high-speed train passing through a tunnel by cross-section increase. J Wind Eng Ind Aerodyn, 2018, 183: 235-242
CrossRef Google scholar
[35.]
Sun Z, Yang G, Zhu L. Study on the critical diameter of the subway tunnel based on the pressure variation. Sci China Technol Sci, 2014, 57(10): 2037-2043
CrossRef Google scholar
[36.]
Hwang J, Yoon T, Lee D, et al.. Numerical study of unsteady flowfield around high speed trains passing by each other. JSME Int J, Ser B, 2001, 44(3): 451-464
CrossRef Google scholar
[37.]
Hwang J, Lee DH (1999) Numerical simulation of flowfield around high speed trains passing by each other. In: the 17th Applied Aerodynamics Conference. Norfolk, pp 3156
[38.]
Li W, Liu T, Chen Z, et al.. Comparative study on the unsteady slipstream induced by a single train and two trains passing each other in a tunnel. J Wind Eng Ind Aerodyn, 2020, 198 104095
CrossRef Google scholar
[39.]
Meng S, Meng S, Wu F, et al.. Comparative analysis of the slipstream of different nose lengths on two trains passing each other. J Wind Eng Ind Aerodyn, 2021, 208 104457
CrossRef Google scholar
[40.]
Yi L, Li Y, Ouyang J, et al.. Modeling and simulation analysis of the temperature field of high speed missile cabin. J Phys: Conf Ser, 2022, 2179(1) 012007
[41.]
Wang C, Xu R, Jiang P. Numerical study on spray cooling of aircraft equipment cabin. Appl Therm Eng, 2024, 239 122086
CrossRef Google scholar
[42.]
Niu J, Zheng Q, Lv D, et al.. Numerical simulation of the effect of air-intake on the indoor flow field of a dedusting equipment cabin used in tunnel construction. Alex Eng J, 2022, 61(12): 12405-12416
CrossRef Google scholar
[43.]
Jia Q, Xia C, Zang J, et al.. Numerical simulation on the temperature field in an equipment cabin of a high-speed railway train. Build Simul, 2016, 9(6): 689-700
CrossRef Google scholar
[44.]
Zhang N, Lu Z, Niu J, et al.. Temperature field in equipment cabin of high-speed train in the harsh wind environment and extreme temperature condition. DEStech Trans Eng Technol Res, 2017, 2017: 903-910
[45.]
Li X, Wu F, Tao Y, et al.. Numerical study of the air flow through an air-conditioning unit on high-speed trains. J Wind Eng Ind Aerodyn, 2019, 187: 26-35
CrossRef Google scholar
[46.]
Li X, Wu F, Tao Y, et al.. Numerical investigation of flow deflectors for the improvement of condensing air flux through the air-conditioning unit on high-speed trains. Build Environ, 2022, 215 108949
CrossRef Google scholar
[47.]
Wu Y, Zhou W, Liang X, et al.. Numerical and experiment study on ventilation performance of the equipment compartment of Alpine high-speed train. Eng Appl Comput Fluid Mech, 2023, 17(1): 2252514
[48.]
Jiang Z, Liu T, Chen X, et al.. Numerical prediction of the slipstream caused by the trains with different marshalling forms entering a tunnel. J Wind Eng Ind Aerodyn, 2019, 189: 276-288
CrossRef Google scholar
[49.]
Tan C, Zhou D, Chen G, et al.. Influences of marshalling length on the flow structure of a maglev train. Int J Heat Fluid Flow, 2020, 85 108604
CrossRef Google scholar
[50.]
Huang Y, Hong TH, Kim CN. A numerical simulation of train-induced unsteady airflow in a tunnel of Seoul subway. J Mech Sci Technol, 2012, 26(3): 785-792
CrossRef Google scholar
[51.]
Cheng F, Xiong X, Tang M, et al.. Impact of the gap distance between two adjacent external windshields of a high-speed train on surrounding flow characteristics: an IDDES study. Eng Appl Comput Fluid Mech, 2022, 16(1): 724-745
[52.]
Dong T, Minelli G, Wang J, et al.. Numerical investigation of a high-speed train underbody flows: studying flow structures through large-eddy simulation and assessment of steady and unsteady Reynolds-averaged Navier-Stokes and improved delayed detached eddy simulation performance. Phys Fluids, 2022, 34(1) 015126
CrossRef Google scholar
[53.]
He K, Su X, Gao G, et al.. Evaluation of LES, IDDES and URANS for prediction of flow around a streamlined high-speed train. J Wind Eng Ind Aerodyn, 2022, 223 104952
CrossRef Google scholar
[54.]
Xia C, Wang H, Shan X, et al.. Effects of ground configurations on the slipstream and near wake of a high-speed train. J Wind Eng Ind Aerodyn, 2017, 168: 177-189
CrossRef Google scholar
[55.]
Foster A, Kinzel M. Estimating COVID-19 exposure in a classroom setting: a comparison between mathematical and numerical models. Phys Fluids, 2021, 33(2) 021904
CrossRef Google scholar
[56.]
Su X, He K, Xu K, et al.. Comparison of flow characteristics behind squareback bluff-bodies with and without wheels. Phys Fluids, 2023, 35(3) 035114
CrossRef Google scholar
[57.]
Zhang J, Guo Z, Han S et al (2022) An IDDES study of the near-wake flow topology of a simplified heavy vehicle. Transp Saf Environ 4(2): tdac015
[58.]
Zhang J, Gidado F, Adamu A, et al.. An investigation on the wake flow of a generic ship using IDDES: the effect of computational parameters. Ocean Eng, 2023, 271 113644
CrossRef Google scholar
[59.]
Shur ML, Spalart PR, Strelets MK, et al.. A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities. Int J Heat Fluid Flow, 2008, 29(6): 1638-1649
CrossRef Google scholar
[60.]
Chu CR, Chien SY, Wang CY, et al.. Numerical simulation of two trains intersecting in a tunnel. Tunn Undergr Space Technol, 2014, 42: 161-174
CrossRef Google scholar
[61.]
Anderson J. Fundamentals of aerodynamics, 2011 7 New York, McGraw Hill
[62.]
Liu K, Jing L, Ren M. The characteristics of air wave induced by two high-speed trains passing by each other in a tunnel. Adv Mech Eng, 2018, 10(3): 168781401876697
CrossRef Google scholar
[63.]
Zhang S. CRH2 electric multiple unit, 2007, Ltd, Beijing (in Chinese), China Railway Publishing House Co.
[64.]
Cheng N, Hao Z, Tan S. Comparison of quadratic and power law for nonlinear flow through porous media. Exp Therm Fluid Sci, 2008, 32(8): 1538-1547
CrossRef Google scholar
[65.]
M Ariff, SM Salim, SC Cheah (2009) Wall y+ approach for dealing with turbulent flow over a surface mounted cube: Part 2—High Reynolds Number. In: Seventh International Conference on CFD in the Mineral and Process Industries, Melbourne, pp 1–6
[66.]
Dong T, Liang X, Krajnović S, et al.. Effects of simplifying train bogies on surrounding flow and aerodynamic forces. J Wind Eng Ind Aerodyn, 2019, 191: 170-182
CrossRef Google scholar
[67.]
Xiong X, Liang X. Analysis of air pressure pulses in meeting of CRH2 EMU trains. J Chin Railw Soc, 2009, 31(6): 15-20 (in Chinese)
Funding
Technology R&D Program of China State Railway Group Co., Ltd(N2022J013); Hunan Provincial Innovation Foundation for Postgraduate(CX20220279); Fundamental Research Funds for Central Universities of the Central South University(2022ZZTS0193); China Scholarship Council(202106370112)

Accesses

Citations

Detail

Sections
Recommended

/