Vibration emission from railway lines in tunnel – characterization and prediction
M. Villot,
E. Augis,
C. Guigou-Carter,
P. Jean,
P. Ropars,
S. Bailhache and
C. Gallais
International Journal of Rail Transportation, 2016, vol. 4, issue 4, 208-228
Abstract:
A method for characterizing and predicting vibration emission from railway lines in tunnels is presented. The characterization method consists in measuring both the tunnel vibration response during train pass-by events and the tunnel effective mobility (mobility combining point and transfer mobilities), from which the line of uncorrelated forces characterizing the source can be calculated. The results from field measurements of commuter train operations are presented and improved using a numerical tunnel/ground model. The transfer of an existing situation to a new one is performed using two different train/track/tunnel models. The situation change is expressed in terms of difference in the force density applied to the tunnel invert between the original and the new situation. The track models are first calibrated from the characterization field measurements and then used to estimate a given situation change. The results of the two models/procedures compare rather well, thus cross-validating the approaches.
Date: 2016
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23248378.2016.1220267 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjrtxx:v:4:y:2016:i:4:p:208-228
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjrt20
DOI: 10.1080/23248378.2016.1220267
Access Statistics for this article
International Journal of Rail Transportation is currently edited by Wanming Zhai and Kelvin C. P. Wang
More articles in International Journal of Rail Transportation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().