DocumentCode
3395100
Title
Optimal highway maintenance policies under uncertainty
Author
Castanier, Bruno ; Yeung, Thomas G.
Author_Institution
Dept. Ind. Eng. & Autom. Control, Ecole des Mines de Nantes, Nantes
fYear
2008
fDate
28-31 Jan. 2008
Firstpage
25
Lastpage
30
Abstract
We develop an inspection and maintenance policy to minimize the cost of maintaining a given section of road or highway when there is a great deal of uncertainty in the degradation process. We propose to model the degradation of a section of road based on the proliferation and growth of cracks. We utilize a combination of a Poisson and gamma process to account for the tremendous amount of uncertainty and difficulty in predicting the proliferation of cracks. Our policy defines the optimal inspection interval as well as the minimum threshold at which to perform crack repairs. Furthermore, our policy contains a safety constraint to prevent the probability of a ldquocatastrophicrdquo failure from exceeding a pre-determined reliability value. Numerical calculations have shown that our model will extend the lifecycle of the road by performing preventive, conditioned-based maintenance to slow down the growth of cracks. Classical preventive maintenance policies usually shorten the lifecycle by forcing earlier renewals.
Keywords
asphalt; concrete; condition monitoring; cracks; failure analysis; inspection; preventive maintenance; probability; reliability; roads; stochastic processes; Poisson process; asphalt concrete; catastrophic failure probability; conditioned-based maintenance; crack repair; gamma process; inspection; optimal highway maintenance policy; preventive maintenance; reliability; roads; Asphalt; Concrete; Degradation; Inspection; Preventive maintenance; Probability; Road transportation; Surface cracks; Tensile stress; Uncertainty; Markov semi-renewal; gamma process; maintenance optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 2008. RAMS 2008. Annual
Conference_Location
Las Vegas, NV
ISSN
0149-144X
Print_ISBN
978-1-4244-1460-4
Electronic_ISBN
0149-144X
Type
conf
DOI
10.1109/RAMS.2008.4925764
Filename
4925764
Link To Document