Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112823
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorHuang, S-
dc.creatorLi, ZW-
dc.creatorPeng, WJ-
dc.creatorLin, JR-
dc.creatorHuang, ZD-
dc.creatorZeng, GZ-
dc.date.accessioned2025-05-09T00:55:10Z-
dc.date.available2025-05-09T00:55:10Z-
dc.identifier.issn1994-2060-
dc.identifier.urihttp://hdl.handle.net/10397/112823-
dc.language.isoenen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rights© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.en_US
dc.rightsThe following publication Huang, S., Li, Z. W., Peng, W. J., Lin, J. R., Huang, Z. D., & Zeng, G. Z. (2025). Effect of jet flow control in front of the leading bogie on the aerodynamic drag and underbody slipstream of high-speed trains. Engineering Applications of Computational Fluid Mechanics, 19(1) is available at https://doi.org/10.1080/19942060.2024.2447391.en_US
dc.subjectAerodynamic dragen_US
dc.subjectBogiesen_US
dc.subjectHigh-speed trainsen_US
dc.subjectJet flow controlen_US
dc.subjectSlipstreamen_US
dc.titleEffect of jet flow control in front of the leading bogie on the aerodynamic drag and underbody slipstream of high-speed trainsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume19-
dc.identifier.issue1-
dc.identifier.doi10.1080/19942060.2024.2447391-
dcterms.abstractBogies are significant contributors to the aerodynamic resistance of high-speed trains, making them key areas of consideration for flow control and optimization. This study applied an air jet slot positioned in front of the leading bogie to explore its effectiveness in reducing the train’s aerodynamic resistance under Reynolds number (Re) of 2.64 × 106. The SST k-ω-based Improved Delayed Detached Eddy Simulation (IDDES) turbulence model was utilized to study the effects of various jet velocities and angles on the transient and time-averaged flow change underneath the train, as well as their correlations with aerodynamic drag reduction rates (𝛿). Results indicate that the 𝛿 exhibits a notable upward trajectory with increasing jet velocity, followed by a slight decline once the jet velocity exceeds 0.8U (the train speed) at jet angles below 75°. Moreover, the increase of jet velocity results in a significant decrease in slipstream velocities but an increase in turbulent vorticity, intensity and kinetic energy underneath the leading bogie after the jet slot. The impact of jet angle is comparatively less pronounced than that of jet velocity, the disparity in drag reduction rates caused by varying jet angles remains within a range of 2.4% at a specific jet velocity, and the mean slipstreams and turbulent variables demonstrate minimal changes with varying jet angles. Optimal aerodynamic drag reduction is achieved with an air jet velocity of 0.8U and an angle of 15°, which is 6.43% for the whole train. The results presented in this paper suggest a new aerodynamic drag reduction method based on active flow control, providing engineering implications for the energy-efficient development of high-speed trains.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEngineering applications of computational fluid mechanics, 2025, v. 19, no. 1, 2447391-
dcterms.isPartOfEngineering applications of computational fluid mechanics-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-85215115829-
dc.identifier.eissn1997-003X-
dc.identifier.artn2447391-
dc.description.validate202505 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe National Science Foundation of Guangdong Province under [grant number 2022A1515010011]; the Jiangmen Basic and Theoretical Science Research Project (2023) under [grant number 2023JC01020]; the Hong Kong and Macao Joint Research and Development Fund of Wuyi University under [grant number2019WGALH17]en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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