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Using Waste Concretes as Recycling Aggregate in Concrete Production and Sustainability Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Markov Chain Optimisation for Pavement Maintenance

Authors : Mohammed Al Aryani, Halim Boussabaine, Richard Kirkham

Published in: Proceedings of 3rd International Sustainable Buildings Symposium (ISBS 2017)

Publisher: Springer International Publishing

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Abstract

The highways network is crucial to the economic and social development of the United Arab Emirates (UAE). The increase in capital spend on highways projects across the UAE has emphasised the importance of optimising the long-term operational and maintenance spend. This paper presents a case study of the application of Markov chains in the optimisation of pavement maintenance decision-making. The theoretical model utilises a simplified staged-homogenous Markov chain to predict future pavement conditions at the network level by comparing the pavement condition with planned maintenance activities against pavement condition without maintenance activities using a Pavement Condition Index (PCI) as the basis of the calculation. Also estimated budget for maintenance work has been achieved.

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Metadata
Title
Markov Chain Optimisation for Pavement Maintenance
Authors
Mohammed Al Aryani
Halim Boussabaine
Richard Kirkham
Copyright Year
2018
Book
Proceedings of 3rd International Sustainable Buildings Symposium (ISBS 2017)

Print ISBN: 978-3-319-63708-2

Electronic ISBN: 978-3-319-63709-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-63709-9_53