Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107617
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorXia, Yen_US
dc.creatorLiu, Ten_US
dc.creatorChen, Xen_US
dc.creatorSu, Xen_US
dc.creatorChen, Zen_US
dc.creatorGuo, Zen_US
dc.creatorZhou, Len_US
dc.creatorKrajnović, Sen_US
dc.date.accessioned2024-07-04T08:49:09Z-
dc.date.available2024-07-04T08:49:09Z-
dc.identifier.issn0167-6105en_US
dc.identifier.urihttp://hdl.handle.net/10397/107617-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2023 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Xia, Y., Liu, T., Chen, X., Su, X., Chen, Z., Guo, Z., Zhou, L., & Krajnović, S. (2023). Investigation of the dynamic airtightness coefficient of high-speed trains traveling through a tunnel: A field study. Journal of Wind Engineering and Industrial Aerodynamics, 236, 105395 is available at https://doi.org/10.1016/j.jweia.2023.105395.en_US
dc.subjectCalculation methoden_US
dc.subjectDynamic airtightness coefficienten_US
dc.subjectField testen_US
dc.subjectHigh-speed trainen_US
dc.subjectOptimization algorithmen_US
dc.subjectTunnelen_US
dc.titleInvestigation of the dynamic airtightness coefficient of high-speed trains traveling through a tunnel : a field studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume236en_US
dc.identifier.doi10.1016/j.jweia.2023.105395en_US
dcterms.abstractDetermining the dynamic airtightness coefficient (τdyn) of train carriages using a high-accuracy and high- efficiency method is essential regarding the study of the dynamic airtightness performance of high-speed trains (HSTs) traveling through tunnels. This study set out to provide a systematic elaboration and investigation of the whole process of establishing the calculation methodology of τdyn of HST carriages. Moreover, the applicability of three different typical optimization algorithms in the calculation of τdyn was explored and compared. These were the traversal algorithm (TRAA), the trichotomy algorithm (TRIA), and the genetic algorithm (GA). Using the established calculation method, the values of τdyn of different HST carriages for tunnels with different lengths were calculated based on field test data of pressure outside and inside HST carriages. Results revealed that the selection of optimization algorithms had significant effects on the calculation process of τdyn because of their different optimization mechanisms. These three optimization algorithms were proven to be feasible for establishing the calculation method of τdyn and gave the same calculation result of τdyn for the calculation example within the expected accuracy. The elapsed time of the TRAA and GA were approximately 100 and 80 times that of the TRIA regarding the calculation example. The TRIA was the preferable choice for the calculation of τdyn among the three algorithms because of its uncomplicated implementation logic and high efficiency. Within the tunnel-length range involved, the tunnel length itself had no significant effect on τdyn of HST carriages. A significant increasing trend in τdyn of HST carriages was found along the train length. Compared to the head car, the increasing ratio of τdyn of the second car was varying from 0.2 to 0.5, while the increasing ratio of the seventh car was ranging from 0.8 to 1.7 considering different tunnel lengths. These findings provide a reference basis for the design of the calculation method of τdyn of HST carriages and also enhance understanding of τdyn of HST carriages under different operating circumstances.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of wind engineering and industrial aerodynamics, May 2023, v. 236, 105395en_US
dcterms.isPartOfJournal of wind engineering and industrial aerodynamicsen_US
dcterms.issued2023-05-
dc.identifier.scopus2-s2.0-85150424955-
dc.identifier.eissn1872-8197en_US
dc.identifier.artn105395en_US
dc.description.validate202407 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2947-
dc.identifier.SubFormID48898-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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