Reliability-Based System-Level Optimization of Bridge Maintenance and Replacement Decisions

This paper addresses the problem of optimizing bridge maintenance and replacement (M&R) decisions for a heterogeneous system of facilities. The objective is to determine optimal M&R policies for each facility over a finite planning horizon based on the knowledge of the current facilities con...

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Bibliographic Details
Published in:Transportation science 2008-11, Vol.42 (4), p.508-513
Main Authors: Robelin, Charles-Antoine, Madanat, Samer M
Format: Article
Language:English
Subjects:
Applied sciences
Approximation
Bridge construction
Bridge engineering
Bridges
Budget constraints
Buildings. Public works
Computation methods. Tables. Charts
Cost efficiency
Decision making
Durability. Pathology. Repairing. Maintenance
Evaluation
Exact sciences and technology
Infrastructure
Infrastructure (Economics)
infrastructure management
Maintenance and repair
Maintenance costs
Management
Mathematical optimization
Optimization
Optimization techniques
Present value
Railway networks
Railway transport
reliability
Repair & maintenance
Repair (reinforcement, strenthening)
Structural analysis. Stresses
Studies
Sufficient conditions for optimality
Transport infrastructure
Transportation
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Summary:This paper addresses the problem of optimizing bridge maintenance and replacement (M&R) decisions for a heterogeneous system of facilities. The objective is to determine optimal M&R policies for each facility over a finite planning horizon based on the knowledge of the current facilities conditions and on the prediction of future conditions. The system-level problem is based on the results of an M&R optimization problem for each facility. The results of the facility-level optimization are incorporated in a reliability-based, bottom-up, system-level formulation that provides recommendations for each individual facility. We derive sufficient conditions for optimality and prove the result for the continuous case. A parametric study shows that the results obtained in the discrete-case implementation of the solution are valid approximations of the continuous case results. The computational efficiency of the system-level solution makes the formulation suitable for systems of realistic sizes.
ISSN:0041-1655
1526-5447
DOI:10.1287/trsc.1080.0241