A model for the evaluation of intervention strategies for bridges affected by manifest and latent deterioration processes

Fernando, Dilum, Adey, Bryan T. and Lethanh, Nam (2014) A model for the evaluation of intervention strategies for bridges affected by manifest and latent deterioration processes. Structure and Infrastructure Engineering, 11 11: 1466-1483. doi:10.1080/15732479.2014.976576


Author Fernando, Dilum
Adey, Bryan T.
Lethanh, Nam
Title A model for the evaluation of intervention strategies for bridges affected by manifest and latent deterioration processes
Journal name Structure and Infrastructure Engineering   Check publisher's open access policy
ISSN 1744-8980
1573-2479
Publication date 2014-11-26
Year available 2014
Sub-type Article (original research)
DOI 10.1080/15732479.2014.976576
Open Access Status Not Open Access
Volume 11
Issue 11
Start page 1466
End page 1483
Total pages 18
Place of publication Abingdon, Oxfordshire, United Kingdom
Publisher Taylor & Francis
Language eng
Abstract Markov models are often used in bridge management systems to evaluate intervention strategies (ISs) for bridges affected by manifest deterioration processes (MnDPs). These models do not directly take into consideration the effect of latent deterioration processes (LtDPs) on the object, i.e. the deterioration that might occur due to natural hazards (e.g. earthquakes and floods). In cases where there is a negligible probability of the occurrence of natural hazards, this is justified, otherwise it is not. In this paper, a model is proposed that can be used to evaluate ISs for bridge elements and bridges considering both MnDPs and LtDPs. The model is an extension of the Markov models, and includes condition states (CSs) that can occur due to both MnDPs and LtDPs, as well as the probabilities of transition (p.o.ts) between them. The contributions to the p.o.ts due to MnDPs are initially estimated using well-established methods and adjusted for the contributions to the p.o.ts due to LtDPs, which are estimated using fragility curves and adjusted considering element dependencies, i.e. how the elements of a bridge work together. The use of the model is demonstrated by predicting the future CSs of a bridge affected by both MnDPs and LtDPs.
Keyword Markov models
Infrastructure management
Bridge management
Hazard risks
Optimal intervention strategy
Fragility curves
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online ahead of print 26 Nov 2014.

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2015 Collection
 
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