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Journal of Sound and Vibration
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A methodology for the prediction of the sonic boom in tunnels of high-speed trains

Authors: Rivero Fernández, Juan Manuel; González Martínez, Ezequiel; Rodríguez Fernández, Manuel;

A methodology for the prediction of the sonic boom in tunnels of high-speed trains

Abstract

The present study focuses in the propagation and deformation of the first compression wave generated when a high speed train enters a tunnel. This first wave is a determining factor in shock wave formation inside the tunnel, and therefore in sonic boom phenomena. This is modelled with the one-dimensional equations for the flow in a tube, and an analogy that relates a piston inside a tube with the entering train, both opening the door to an algebraic formulation that delimits the problem of shock formation. The model is represented in a characteristic form to find the relation between the distance where the pressure wave becomes a shock wave (named the regression distance) and the parameters that define the initial wave profile, namely the maximum pressure increment and the maximum pressure gradient downstream the entry portal. Later, steady and unsteady wall friction and heat transfer effects are analysed. Differences between the regression distance for the cases with friction and heat transfer and without them, seems to be delimited, that makes the algebraic formulation suited for fast decisions at the time of conceptual design of high-speed lines. Model validation with more complex models and experimental data is provided.

Country
Spain
Related Organizations
Keywords

Transporte, Ingeniería Industrial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
Green