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lnvestigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulation and Hybrid Models

Fragner, Moritz and Deiterding, Ralf (2018) lnvestigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulation and Hybrid Models. In: Computational Methods in Applied Sciences 45 Computation Methods and Models for Transport, 45 (14). Springer International Publishing AG 2018. pp. 223-241. doi: 10.1007/978-3-319-54490-8_14. ISBN 978-3-319-54489-2. ISSN 11871-3033.

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Official URL: https://doi.org/10.1007/978-3-319-54490-8_14


Crosswind flowover high speed trains can pose serious safety concerns for rail transport. Methodologies for evaluating the aerodynamic forces exerted on the train include full-scale measurements, physical modeling using wind-tunnel experiments and numerical modeling using computational fluidmechanics (CFD). Although CFD presents the most cost-effective approach, it faces severe uncertain­ties in the predicted forces, most of which are related to the turbulence modeling technique employed. In here we investigate the influenceof various turbulence mod­eling approaches on crosswind flow Simulations and calculated force coefficientsIn particular, we pe1form URANS, LES and DDES simulations utilizing the DLR Next Generation Train 2 model geometry. Particular emphasis is laid on simulating a wind angle of 30 degrees and Reynolds number of 225,000 for which validation data is provided by wind tunnel measurements. We confirmthat a major vortex sys­tem on the leeward side of the train develops, which mainly drives the overturningforce and moment of the train. The lift force is determined mainly by the underbody flow,which is characterized by unsteady vortex shedding. Due to its dual ability to properly model the roof boundary layer on the one hand and to resolve small-scale turbulent eddies in the underfloor region on the other, the DDES approach is found to give the most accurate force predictions. LES overpredicts the overlurning force and moment, while URANS overpredicts the lift force.

Item URL in elib:https://elib.dlr.de/118763/
Document Type:Contribution to a Collection
Additional Information:eBook, online: ISBN 978-3-319-54490-8
Title:lnvestigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulation and Hybrid Models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fragner, Moritzmoritz.fragner (at) dlr.deUNSPECIFIED
Deiterding, RalfUniversity of Southampton, HighfieldCampus, Southampton SO 17 1 BJ, UKUNSPECIFIED
Journal or Publication Title:Computational Methods in Applied Sciences 45
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1007/978-3-319-54490-8_14
Page Range:pp. 223-241
EditorsEmailEditor's ORCID iD
Publisher:Springer International Publishing AG 2018
Series Name:Computation Methods and Models for Transport
Keywords:Side-Wind Stability, High Speed Trains, LES
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Next Generation Train III (old)
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Fluid Systems, GO
Deposited By: Bachmann, Barbara
Deposited On:06 Feb 2018 11:02
Last Modified:05 Nov 2020 11:28

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