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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 104
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo
Paper 74
Finite Element Analysis of a Masonry Arch Railway Bridge using Polyurethane Polymer P.K. Woodward1, O. Laghrouche1 and S. Thomas2
1Institute of Infrastructure and Environment, School of Built Environment, Heriot Watt University, Edinburgh, Scotland
P.K. Woodward, O. Laghrouche, S. Thomas, "Finite Element Analysis of a Masonry Arch Railway Bridge using Polyurethane Polymer", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 74, 2014. doi:10.4203/ccp.104.74
Keywords: finite element, structural analysis, polymer, railway.
Summary
It is known that masonry arch bridges carry a lot of rail traffic in the UK; almost all
of which have been in service for many years. However, they increasingly need to
be maintained and hence their performance requires enhancement to ensure
increased longevity. Arch structures were designed for lower vehicle loads than they
are currently subjected to. Hence this work is focused on finding a new technique of
extending the scope of a proven ballast strengthening technique (XiTRACK) to
allow a better distribution of the loads from the trains. In this work a static 3D finite
element analysis of a masonry arch railway bridge has been conducted to study the
stabilizing effects on the bridge using polyurethane polymer. A moving load across
the masonry arch was also analysed to detect critical loads of maximum stress
applied to the arch. The results of the finite element analysis were calibrated and
verified with actual data recorded on site from the Whiley Hill bridge located at
Darlington. The work presented in this paper is based on a linear elastic analysis.
Further simulations using non-linear plasticity analysis are currently being
performed in combination with actual site measurement data to achieve more
accurate results.
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