Kouroussis, G, Vogiatzis, KE and Connolly, DP (2018) A Hybrid Numerical-Experimental Assessment of Railway Ground Vibration in Urban Area. In: ICRT 2017: Railway Development, Operations, and Maintenance. 1st International Conference on Rail Transportation (ICRT), 10-12 Jul 2017, SW Jiaotong Univ, Chengdu, China. ASCE , pp. 88-98. ISBN 9780784481257
Abstract
A common source of railway-induced ground vibrations is local defects such as rail joints, switches, and turnouts which cause large amplitude excitations at isolated locations along the track. Moreover, the distance between railway networks (tram, metro) and neighboring buildings is relatively close in urban areas. To analyze such situations, a combined numerical-experimental study is developed in this paper. The numerical approach addresses vehicle-track dynamics by considering the effect of local defects at the rail surface when a tram passes. A multibody vehicle model and a flexible two-dimensional track are coupled, which faithfully capture the interaction between the railway vehicle and the track. Field experiments are undertaken to determine track-ground dynamics. These involve measuring single source transfer mobilities between soil or building, and the force generated at the rail head, at the location of a local defect. The influence of building type and location is evaluated through experimental data collected in Brussels (Belgium). The results show that it is possible to assess vibrations from light rapid transit systems, while considering local rail defects as potential sources of vibration, and/or the complex paths associated with vibration transmission.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Keywords: | ground vibration; impact force; measurement on building; turnout; rail joint; Brussels tram |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Nov 2018 10:36 |
Last Modified: | 15 Nov 2018 10:37 |
Status: | Published |
Publisher: | ASCE |
Identification Number: | 10.1061/9780784481257.011 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138701 |