Development of road deterioration models incorporating flooding for optimum maintenance and rehabilitation strategies

Khan, Misbah U., Mesbah, Mahmoud, Ferreira, Luis and Williams, David J. (2014) Development of road deterioration models incorporating flooding for optimum maintenance and rehabilitation strategies. Road and Transport Research, 23 1: 3-24.

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Name Description MIMEType Size Downloads
Author Khan, Misbah U.
Mesbah, Mahmoud
Ferreira, Luis
Williams, David J.
Title Development of road deterioration models incorporating flooding for optimum maintenance and rehabilitation strategies
Journal name Road and Transport Research   Check publisher's open access policy
ISSN 1037-5783
Publication date 2014-03
Year available 2014
Sub-type Article (original research)
Open Access Status
Volume 23
Issue 1
Start page 3
End page 24
Total pages 22
Place of publication Vermont South, Australia
Publisher A R R B Group
Collection year 2015
Language eng
Formatted abstract
Natural disasters can cause severe damage to infrastructure such as roads. Currently, there are no road deterioration (RD) models that can address flooding or other natural disasters. It is suggested that a probabilistic RD model incorporating uncertainty of events such as flooding should be used for asset management purposes. Moreover, the derivation of post-flood and optimum maintenance and rehabilitation (M&R) strategies should also be incorporated into pavement life-cycle analysis. As a case study, the paper has considered flooding in Queensland, Australia, and has used 34 000 km of the Queensland’s main road authority’s road database. A critical literature review has been undertaken to assess existing RD models, work effect models and optimisation in obtaining an M&R strategy. The paper highlights existing pavement management systems (PMS) in Australia; the importance of RD models (deterministic and probabilistic) in a PMS and the use of probabilistic models for road deterioration prediction. Details of Markov chain, homogenous and non-homogeneous transition probability matrices (TPMs) have been discussed. The paper identifies six methods for deriving RD models using non-homogeneous TPMs. Approaches deriving (i) RD models with flooding, using nonhomogenous TPMs and Monte Carlo simulations and (ii) an optimum M&R strategy with HDM-4 model have been highlighted. As an example, the paper has given a new roughness-based RD model for a road group, to show its pavement performance incorporating flooding. Some expected results are also included, to show a pavement performance with post-flood and optimum M&R strategies. It is believed that this new RD model will help in selecting the appropriate treatment with necessary budget for post-flood rehabilitation. Certainly, it will help road engineers to manage flood-damaged roads more efficiently.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2015 Collection
 
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Created: Wed, 18 Jun 2014, 11:58:49 EST by Jeannette Watson on behalf of School of Civil Engineering