Experimental and numerical analysis of aerodynamic drag reduction of high-speed train: impact of nose, bogie fairing and roof apparatus variations

Beomsu Kim , Nayeong Kim , Kyungwon Lee , Hyeokbin Kwon , Junsun Ahn

Railway Engineering Science ›› : 1 -23.

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Railway Engineering Science ›› :1 -23. DOI: 10.1007/s40534-026-00457-0
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Experimental and numerical analysis of aerodynamic drag reduction of high-speed train: impact of nose, bogie fairing and roof apparatus variations
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Abstract

Assessing aerodynamic modifications in high-speed trains requires quantifying drag reduction relative to previous designs and evaluating the improvement potential of an integrated configuration. This study investigated three-car configurations of the KTX-Cheongryong and HSEMU-370 platforms using 4.3%-scale wind tunnel tests and unsteady Reynolds-averaged Navier–Stokes simulations to characterize the aerodynamic effects of variations in the nose, bogie fairing, and roof apparatus. The baseline HSEMU-370 configuration was compared with bogie fairing and roof apparatus variants to assess its drag reduction potential. The numerical predictions agreed with the measured drag coefficients within 2.29% and showed that the nose was the dominant drag source, and that the streamlined HSEMU-370 nose alleviated both nose pressure loading and the downstream flow disturbances extending into the first bogie region. In the underbody region, the half-covered fairing of the baseline HSEMU-370 did not consistently outperform the open KTX-Cheongryong arrangement, whereas the full underbody and side coverage produced the largest reduction by suppressing cavity-induced losses. In the roof region, the streamlined low-profile roof apparatus attenuated roof-side pressure disturbances and downstream boundary layer thickening compared to the protruding configuration, while full integration yielded an additional reduction in roof-induced drag. Compared with KTX-Cheongryong, the HSEMU-370 achieved a 12.49% reduction in the maximum cumulative drag coefficient, which increased to 14.88% and 16.52% with additional underbody and roof-side modifications, respectively. These findings demonstrate that drag reduction is governed by the flow mechanisms of nose pressure loading, cavity flow behavior, and roof-side disturbance, and that further reductions can be achieved through coordinated modifications. This study highlights the importance of an integrated aerodynamic design considering the coupled effects of external components in high-speed train development.

Keywords

High-speed train / Wind tunnel testing / Computational fluid dynamics / Drag reduction

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Beomsu Kim, Nayeong Kim, Kyungwon Lee, Hyeokbin Kwon, Junsun Ahn. Experimental and numerical analysis of aerodynamic drag reduction of high-speed train: impact of nose, bogie fairing and roof apparatus variations. Railway Engineering Science 1-23 DOI:10.1007/s40534-026-00457-0

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References

[1]

Baker CJ, Johnson T, Flynn D, et al.. Train aerodynamics: fundamentals and applications, 2019, Amsterdam, Elsevier

[2]

Kim BS, Kim NY, Kim HK, et al.. Numerical investigation of the aerodynamic performance of a Bezier surface-based simplified scaled high-speed train model in crosswind. J Korean Soc Vis, 2025, 23: 72-80

[3]

Hashimoto N, Sonobe M, Kato T, et al.. Expanding response distance of position-corrective ground coil for speed increments in Shinkansen trains. Trans JSME Jpn, 2019, 85(878): 19-25

[4]

Eva H (2018) Siemens presents its new high-speed train—the ‘Velaro Novo.’ Siemens. https://press.siemens.com/global/en/pressrelease/siemens-presents-its-new-high-speed-train-velaro-novo. Accessed 27 Jan 2026

[5]

Dai Z, Li T, Zhang W, et al.. Investigation on aerodynamic characteristics of high-speed trains with shields beneath bogies. J Wind Eng Ind Aerodyn, 2024, 246 105666

[6]

Jin Y, Chen X. Research on aerodynamic characteristics of high-velocity train bogies. J Eng Appl Sci, 2024, 71(1): 206

[7]

Han S, Zhang J, Tudball-Smith D, et al.. A novel passive flow control method employing vortex generators to suppress wake flow characteristics of a high-speed train: mechanism and application. J Cent South Univ, 2026, 33(1): 484-505

[8]

Xie Z, Zeng W, Zhou Y, et al.. Aerodynamic drag reduction of high-speed trains via integrated bogie fairing designs. Railw Eng Sci, 2026

[9]

Hyundai Rotem (n.d.) Developing core technologies for 370 km/h high-speed train: How far have we come? https://tech.hyundai-rotem.com/en/development-of-core-technology-for-370km-h-high-speed-rail-vehicle/. Accessed 27 Jan 2026

[10]

Kim B, Kim N, Ahn J, et al.. Computational analysis to derive passenger ear discomfort criteria for 400 km/h high speed train. J Korean Soc Railw, 2024, 27(12): 1055-1064

[11]

Zhang L, Li T, Zhang J. Research on aerodynamic shape optimization of trains with different dimensional design variables. Int J Rail Transp, 2021, 9(5): 479-501

[12]

Wang T, Yang L, Wang Y, et al.. Research on aerodynamic drag reduction for 400 km/h high-speed trains. Adv Wind Eng, 2025, 2(2 100056

[13]

Xiang ZR, Zhi JY, Huang JH, et al.. A systematic approach for streamlined head form design and evaluation of Chinese high-speed train. Int J Rail Transp, 2019, 7(2): 117-139

[14]

Chen G, Li XB, Liu Z, et al.. Dynamic analysis of the effect of nose length on train aerodynamic performance. J Wind Eng Ind Aerodyn, 2019, 184: 198-208

[15]

Schito P, Vigevano L, Negri S, et al.. Numerical analysis of the effect of different nose shapes on train aerodynamic performance. Fluids, 2024, 9(10): 225

[16]

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

[17]

Muñoz-Paniagua J, García J. Aerodynamic surrogate-based optimization of the nose shape of a high-speed train for crosswind and passing-by scenarios. J Wind Eng Ind Aerodyn, 2019, 184: 139-152

[18]

Muñoz-Paniagua J, García J. Aerodynamic drag optimization of a high-speed train. J Wind Eng Ind Aerodyn, 2020, 204 104215

[19]

Mancini G, Malfatti A, Violi AG et al (2001) Effects of experimental bogie fairings on the aerodynamic drag of the ETR 500 high speed train. In: Proceedings of the World Congress on Railway Research (WCRR), Cologne, Germany, 25–29 Nov 2001

[20]

Wang J, Minelli G, Dong T, et al.. The effect of bogie fairings on the slipstream and wake flow of a high-speed train. An IDDES study. J Wind Eng Ind Aerodyn, 2019, 191: 183-202

[21]

Wang J, Gao G, Li X, et al.. Effect of bogie fairings on the flow behaviours and aerodynamic performance of a high-speed train. Veh Syst Dyn, 2020, 58(6): 890-910

[22]

Zheng ZY, Wang TT, Wang Y, et al.. Aerodynamic characteristics on a full-scale high-speed train bogie with rotating wheelsets. J Cent South Univ, 2025, 32(12): 4702-4719

[23]

Liu H, Zhang S, Liang X, et al.. The effect of covering structure in pantograph sinking platform on the aerodynamics of high- speed train. Eng Appl Comput Fluid Mech, 2022, 16(1): 2157-2175

[24]

Lee Y, Kim KH, Rho JH, et al.. Investigation on aerodynamic drag of Korean high speed train (HEMU-430X) due to roof apparatus for electrical device. J Mech Sci Technol, 2016, 30(4): 1611-1616

[25]

Kwon HB, Lee DH, Baek JH. An experimental study of aerodynamic drag on high-speed train. J Mech Sci Technol, 2000, 14: 1267-1275

[26]

European Committee for Standardization (CEN). Railway applications–Aerodynamics–Part 6: requirements and test procedures for cross wind assessment, EN 14067–6:2018, 2018, Brussels, CEN

[27]

Sung B, Jung J, Kwon K, et al.. KARI LSWT. J Korean Soc Aeronaut Space Sci, 1999, 27: 167-174

[28]

Lee SJ, Cho TH (2025) Wind tunnel test for drag measurement of TGV Duplex car. In: Proceedings of the Korean Society for Aeronautical & Space Sciences Spring Conference, Jeju, South Korea, 2–4 Apr 2025 (in Korean)

[29]

Zhang J, Li JJ, Tian HQ, et al.. Impact of ground and wheel boundary conditions on numerical simulation of the high-speed train aerodynamic performance. J Fluids Struct, 2016, 61: 249-261

[30]

Wang S, Burton D, Herbst AH, et al.. The effect of the ground condition on high-speed train slipstream. J Wind Eng Ind Aerodyn, 2018, 172: 230-243

[31]

Kwon HB, Park YW, Lee DH, et al.. Wind tunnel experiments on Korean high-speed trains using various ground simulation techniques. J Wind Eng Ind Aerodyn, 2001, 89(13): 1179-1195

[32]

Medina AF, Cochard S, de Souza FJ (2017) CFD analysis on high-speed train aerodynamics under crosswind conditions. In: Proceedings of the 24th ABCM International Congress of Mechanical Engineering—COBEM 2017, Curitiba, Brazil

[33]

Bell JR, Burton D, Thompson MC, et al.. The effect of tail geometry on the slipstream and unsteady wake structure of high-speed trains. Exp Therm Fluid Sci, 2017, 83: 215-230

[34]

Scanivalve Corporation (2026) MPS4264—Miniature Pressure Scanner, product specification. https://scanivalve.com/products/pressure-measurement/miniature-ethernet-pressure-scanners/mps4264/. Accessed 10 Apr 2026

[35]

European Committee for Standardization (CEN). Railway applications–Aerodynamics–Part 4: requirements and test procedures for aerodynamics on open track, EN 14067–4:2013, 2013, Brussels, CEN

[36]

Weidner D, Stoll D, Kuthada T, et al.. Aerodynamics of high-speed trains with respect to ground simulation. Fluids, 2022, 7(7 228

[37]

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

[38]

Yao SB, Sun ZX, Guo DL, et al.. Numerical study on wake characteristics of high-speed trains. Acta Mech Sin, 2013, 29(6): 811-822

[39]

Wang S, Bell JR, Burton D, et al.. The performance of different turbulence models (URANS, SAS and DES) for predicting high-speed train slipstream. J Wind Eng Ind Aerodyn, 2017, 165: 46-57

[40]

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

[41]

Menter FR. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J, 1994, 32(8): 1598-1605

[42]

Ingram DM, Causon DM, Mingham CG. Developments in Cartesian cut cell methods. Math Comput Simul, 2003, 61(3–6): 561-572

[43]

Dunlop JA, Thompson MC. Reducing slipstream velocities experienced in proximity to high-speed trains. Fluids, 2022, 7(2): 72

[44]

Salehinia M, Younesian D, Mirhosseini M. Effect of the cavity edge topology on the aerodynamic noise of a pantograph in high-speed train. Railw Eng Sci, 2026, 34(3): 470-488

[45]

Shon S, Ji WG, Kim B, et al.. Evaluation of snow accumulation simulation on a train using experimental results. J Wind Eng Ind Aerodyn, 2023, 232 105275

[46]

Jeong J, Hussain F. On the identification of a vortex. J Fluid Mech, 1995, 285: 69-94

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