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ANALYSIS OF TRAIN DRAG IN VARIOUS CONFIGURATIONS OF LONG TUNNEL

R G Gawthorpe, Catherine Pope, R H Green

Open publisher page 10 citations

Abstract

Designers of long rail tunnels in many parts of the world are presently hampered by the scarcity of information allowing a prediction of train drag. Such data are vital to the optimum choice of tunnel configuration, and particularly the cross-sectional dimensions, because of its bearing on train power requirement, traction energy costs and the temperature conditions of the tunnel environment. The paper describes a relatively unsophisticated theory which predicts overall mean values of aerodynamic drag for various combinations of train and tunnel types. Where possible, comparisons are made with other experimental and theoretical data. An important part of the paper then discusses the trends arising from the results, and in particular the implications that these have on the decision-making process for a particular railway tunnel requirement.

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What this paper is about

Designers of long rail tunnels in many parts of the world are presently hampered by the scarcity of information allowing a prediction of train drag. Such data are vital to the optimum choice of tunnel configuration, and particularly the cross-sectional dimensions, because of its bearing on train power requirement, traction energy costs and the temperature conditions of the tunnel environment. The paper describes a relatively unsophisticated theory which predicts overall mean values of aerodynamic drag for various combinations of train and tunnel types. Where possible, comparisons are made with other experimental and theoretical data. An important part of the paper then discusses the trends arising from the results, and in particular the implications that these have on the decision-making process for a particular railway tunnel requirement.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Designers of long rail tunnels in many parts of the world are presently hampered by the scarcity of information allowing a prediction of train drag. Such data are vital to the optimum choice of tunnel configuration, and particularly the cross-sectional dimensions, because of its bearing on train power requirement, traction energy costs and the temperature conditions of the tunnel environment. The paper describes a relatively unsophisticated theory which predicts overall mean values of aerodynamic drag for various combinations of train and tunnel types. Where possible, comparisons are made with other experimental and theoretical data. An important part of the paper then discusses the trends arising from the results, and in particular the implications that these have on the decision-making process for a particular railway tunnel requirement.

Key concepts: Drag, Aerodynamics, Scarcity, Engineering, Aerodynamic drag, Marine engineering, Computer science, Transport engineering

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