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Title:

System-Level Optimization of Bridge Maintenance and Replacement Decisions Using History-Dependent Models

Accession Number:

01046392

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper addresses the determination of optimal bridge maintenance and replacement policies for a system of heterogeneous facilities. The problem of optimizing maintenance and replacement policies at the system level is formulated in a reliability-based framework, based on policies that are optimal at the facility level. The facility-level policies are determined using a finite-state, finite horizon Markov decision process in which the state of the Markov chain contains information on the history of maintenance and deterioration. This article provides formal proofs of the optimality of the system-level results in the continuous case, and a numerical 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.

Monograph Accession #:

01042056

Report/Paper Numbers:

07-0324

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Robelin, Charles Antoine
Madanat, Samer Michel

Pagination:

14p

Publication Date:

2007

Conference:

Transportation Research Board 86th Annual Meeting

Location: Washington DC, United States
Date: 2007-1-21 to 2007-1-25
Sponsors: Transportation Research Board

Media Type:

CD-ROM

Features:

Figures (3) ; References (13)

Subject Areas:

Bridges and other structures; Design; Highways; Maintenance and Preservation; Policy; I24: Design of Bridges and Retaining Walls; I60: Maintenance

Source Data:

Transportation Research Board Annual Meeting 2007 Paper #07-0324

Files:

TRIS, TRB

Created Date:

Feb 8 2007 4:53PM