The need for cost-effective maintenance strategies for highway bridges is becoming increasingly important as these structures age and the demands for funding expand. Shortfalls in the annual budget to complete all the identified work also requires that rational procedures be formulated regarding when maintenance work on different structures within a stock should take place. Two main types of maintenance are considered: steady state and essential. The concept of an optimal maintenance programme is introduced. In most cases this is the ideal situation since it minimises long-term costs and disruption to users of the structures. In practice, optimal maintenance strategies may not be affordable when first introduced if there is a backlog of work resulting in a need to prioritise parts of the work. Prioritisation is discussed in terms of quantifying the consequences of deferring maintenance work, and ranking the bridges in the stock by their value of cost: benefit ratio of deferring the work. The use of a long-term plan to eliminate maintenance backlogs that arise from long-term underfunding is explained and the ‘long-term plan formula’ is introduced. A flow chart is provided to prioritise the maintenance on bridges included in a long-term plan.
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June 2006
Research Article|
June 01 2006
Long-term maintenance strategies for highway bridges
P. R. Vassie, BSc, PhD, M. Math;
P. R. Vassie, BSc, PhD, M. Math
Visiting Professor
University College
London, UK
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C. Arya, BSc, PhD, DIC, CEng, MICE
C. Arya, BSc, PhD, DIC, CEng, MICE
Senior Lecturer
University College
London, UK
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Publisher: Emerald Publishing
Received:
April 19 2005
Accepted:
January 16 2006
Online ISSN: 1751-7664
Print ISSN: 1478-4637
© 2006 Thomas Telford Ltd
2006
Proceedings of the Institution of Civil Engineers - Bridge Engineering (2006) 159 (2): 83–90.
Article history
Received:
April 19 2005
Accepted:
January 16 2006
Citation
Vassie PR, Arya C (2006), "Long-term maintenance strategies for highway bridges". Proceedings of the Institution of Civil Engineers - Bridge Engineering, Vol. 159 No. 2 pp. 83–90, doi: https://doi.org/10.1680/bren.2006.159.2.83
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