jinam%2E15%2E00005.pdf (1.32 MB)
Highway filter drains: precursors for maintenance management
journal contribution
posted on 2015-11-17, 11:32 authored by Theo Stylianides, Matthew FrostMatthew Frost, Paul FlemingPaul Fleming, Ali El-Jaber, Mark Mageean, Andrew Huetson, Tomasz KlimczakThis paper conceptualises and presents a number of asset management building blocks required to establish holistic management for highway filter drains in the UK roads network. This is accomplished by evaluating current maintenance and management thinking and by identifying how existing strategies are lacking and potentially unsustainable. A condition assessment regime is hence described, tied to a measure of filter drain level of service (drainability) and an asset-specific ageing/renewal model that adopts six discreet condition bands is proposed. For this model to hold true, the Markov process is assumed to represent cumulative damage in a network. Drawing from relevant asset management concepts, a decision support tool to inform and optimise managerial decisions in respect to maintenance planning and resources allocation is also described.
Funding
The research work described in this paper has been funded by the Engineering and Physical Sciences Research Council (EPSRC), Transport Scotland (TS), Connect Roads, Balfour Beatty and PTS.
History
School
- Architecture, Building and Civil Engineering
Published in
Infrastructure Asset ManagementVolume
2Issue
4Pages
159-172Citation
STYLIANIDES, T. ...et al., 2015. Highway filter drains: precursors for maintenance management. UK, Infrastructure Asset Management, 2 (4), pp.159-172Publisher
© ICE publishingVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 4.0(CC BY 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/Publication date
2015-11-26Copyright date
2015Notes
This is an Open Access article published by ICE and distributed under the terms of the Creative Commons Attribution Licence, https://creativecommons.org/licenses/by/4.0/.ISSN
2053-0242eISSN
2053-0250Publisher version
Language
- en