Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.777668
Title: Risk and reliability-based maintenance for highway infrastructure asset management
Author: Ekpiwhre, Ejiroghene Onome
ISNI:       0000 0004 7963 4435
Awarding Body: University of Greenwich
Current Institution: University of Greenwich
Date of Award: 2018
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Abstract:
The highway industry, a critical section of Nigeria surface transportation industry is in pressing need of methods that would enable the reliability and maintainability of their fielded system. The availability and safety of highway infrastructure is a primary objective of an economy in other to provide a satisfactory level of service to road users and overcome the practical challenges from dissimilar highway assets. A large proportion of highway assets in Nigeria are classified as structurally deficient and functionally obsolete due to low discernibility of their functional failures, condition assessment and maintenance programmes which are often neglected until a catastrophic failure occurs. This research attempt to reveal ways for sound decision making to address the functional failures and structural defects and deterioration associated with highway assets by utilising UK datasets. The functional failures and structural deterioration defects are amongst the leading causes of growing failure probabilities of the road systems and networks. Thus, asset maintenance intervention is an essential task for the unified management of road assets and systems. The objectives of this research are to evaluate and develop appropriate methods that could support asset management and maintenance strategies of highway infrastructure asset and systems. A qualitative approach was initiated to develop a preventive maintenance strategy using a reliability centred maintenance approach to propose a maintenance plan for the newly fielded highway system capturing key highway assets. After that quantitative techniques such as risk-based inspection, reliability growth analysis, Markov Chain deterioration modelling and treatment renewal costing were piloted using real-time UK highway maintenance data sets from Network Maintenance Management System (NMMS) and highway condition data from Surface Condition Assessment of National Network of Roads (SCANNER) Survey. Illustrations are presented to validate the proposed methods for preventing functional failure occurrences and deterioration of highway asset by prioritising maintenance based on failure severity and system reliability. The proposed risk and reliability-based maintenance approaches can be utilised when forming a preservation strategy to avoid the functional failure and decadence of fielded highway assets.
Supervisor: Tee, Kong Fah ; Chen, Hua-Peng Sponsor: Niger Delta Development Commission, Nigeria
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.777668  DOI: Not available
Keywords: TE Highway engineering. Roads and pavements
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