Mobility Compass

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Seuring, Stefan
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Autor Correspondente Coelho, Sílvia.
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Soper, David

  • Google
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University of Birmingham

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (13/13 displayed)

  • 2022The Flow Around a Lorry Platoon Subject to a Crosswind—a Detached Eddy Simulation3citations
  • 2022Development of a novel railway positioning system using RFID technology13citations
  • 2021Investigation of the aerodynamic phenomena associated with a long lorry platoon running through a tunnel7citations
  • 2019Numerical simulations of the separated flow around a freight train passing through a tunnel using the sliding mesh technique13citations
  • 2019Experimental investigation of the aerodynamics of a freight train passing through a tunnel using a moving model13citations
  • 2019Detached eddy simulation of a closely running lorry platoon19citations
  • 2018A comparison of methods to simulate the aerodynamic flow beneath a high speed train20citations
  • 2018The calculation of the overturning wind speed of large road vehicles at exposed sites2citations
  • 2016The influence of ballast shoulder height on train aerodynamic flow developmentcitations
  • 2015An experimental investigation to assess the influence of container loading configuration on the effects of a crosswind on a container freight train17citations
  • 2015The behaviour of long entrance hoods for high speed rail tunnelscitations
  • 2014Detached-eddy simulation of the slipstream of an operational freight train94citations
  • 2013The Slipstream development of a container freight traincitations

Places of action

Chart of shared publication
Baker, Christopher
7 / 17 shared
He, Mingzhe
2 / 3 shared
Huo, Shen Shuan
1 / 1 shared
Hemida, Hassan
7 / 19 shared
Sterling, Mark
4 / 8 shared
Hamadache, Moussa
1 / 7 shared
Olaby, Osama
1 / 9 shared
Dixon, Roger
1 / 50 shared
Winship, Phil
1 / 2 shared
Zhang, Xiaotian
1 / 2 shared
Robertson, Francis
2 / 2 shared
Huang, Shi-Di
1 / 1 shared
Iliadis, Panagiotis
2 / 3 shared
Bourriez, Frederick
1 / 1 shared
Huo, Ryan
1 / 1 shared
Flynn, Dominic
2 / 4 shared
Jackson, Adam
1 / 1 shared
Quinn, Andrew
1 / 13 shared
Gallagher, M.
1 / 2 shared
Baker, C.
1 / 3 shared
Baker, Chris
1 / 3 shared
Sturt, R.
1 / 1 shared
Vardy, A. E.
1 / 1 shared
Baker, C. J.
1 / 5 shared
Baker, Chris J.
1 / 2 shared
Chart of publication period
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Co-Authors (by relevance)

  • Baker, Christopher
  • He, Mingzhe
  • Huo, Shen Shuan
  • Hemida, Hassan
  • Sterling, Mark
  • Hamadache, Moussa
  • Olaby, Osama
  • Dixon, Roger
  • Winship, Phil
  • Zhang, Xiaotian
  • Robertson, Francis
  • Huang, Shi-Di
  • Iliadis, Panagiotis
  • Bourriez, Frederick
  • Huo, Ryan
  • Flynn, Dominic
  • Jackson, Adam
  • Quinn, Andrew
  • Gallagher, M.
  • Baker, C.
  • Baker, Chris
  • Sturt, R.
  • Vardy, A. E.
  • Baker, C. J.
  • Baker, Chris J.
OrganizationsLocationPeople

article

Numerical simulations of the separated flow around a freight train passing through a tunnel using the sliding mesh technique

  • Iliadis, Panagiotis
  • Baker, Christopher
  • Soper, David
  • Hemida, Hassan
Abstract

<p>The main aim of this investigation is to analyse the flow around a freight train as it passes through a tunnel. The separated flow around the train nose is related to energy losses, lateral vibration, noise and streamline deviation, and it also influences the velocity magnitudes around the train. Such effects are expected to become more important with the prospect of increasing freight train speeds. The numerical simulations performed in this study use a Class 66 locomotive connected to eight container wagons, scaled to 1/25th, moving at a train speed of 33.5 m/s through a tunnel with a blockage ratio of 0.202. The k–ω model combined with a high advection scheme solves the governing equations on a structured hexahedral mesh using the sliding mesh technique. The pressure histories at the tunnel walls and train surface as well as the velocity field around the train were validated with experimental data obtained using a moving model. The longest separation bubble is found at the middle-height and middle-width of the locomotive due to extended corners at these regions. When the train enters the tunnel, the separation length is reduced by 32% at the roof and 31% at the sides, compared to open air. The maximum separation length is found at the sides of the train where it reattaches at 19% of the locomotive length, influencing the velocity peak at a short distance from the train surface. The larger the separation length, the higher the length/duration of this peak. When the train head is halfway through the tunnel, the nose velocity peak reduces by 30% compared to open air. The position of the nose inside the tunnel affects not only the slipstream velocity but also the velocity field at the tunnel portal and exit. These novel findings can be used as a benchmark for designing new freight train and tunnel shapes.</p>

Topics
  • equation
  • simulation
  • data
  • vibration
  • commodity
  • region
  • benchmark
  • pressure
  • container
  • container
  • noise
  • velocity
  • noise
  • dissipation
  • nose
  • deviation
  • building exit
  • freight train
  • locomotive
  • tunnel lining
  • bubble
  • container car

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