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Lookup NU author(s): Dr Xiang XieORCiD
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Recent progress in the monitoring and prediction of the condition of infrastructure using sensing technologies has motivated researchers and infrastructure owners to explore the benefits of asset predictive maintenance, as an alternative to reactive maintenance. However, the application of predictive group maintenance for multi-system multi-component networks (MSMCN) has not received much attention in the literature or in practice. The paper presents an approach that prioritizes the maintenance of MSMCN of bridges, using a deterioration model of components with uncertainty, a lifecycle cost model, a predictive model for the optimal time for maintenance based on the latest inspection, a group maintenance model to reduce setup cost, and a scheduling model considering budget constraints. This model has been applied to a network of 15 bridges constituted by multiple heterogeneous components, and, compared with the Structures Investment Toolkit, it showed potential for a substantial decrease in maintenance costs, thus highlighting the practical significance of the presented approach.
Author(s): Hadjidemetriou GM, Xie X, Parlikad A
Publication type: Article
Publication status: Published
Journal: Transportation Research Record
Print publication date: 01/04/2020
Online publication date: 10/03/2020
Acceptance date: 01/01/2020
ISSN (print): 0361-1981
ISSN (electronic): 2169-4052
Publisher: SAGE Publishing
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