Probabilistic Optimum Inspection/Repair Planning to Extend Lifetime of Deteriorating Structures
Publication: Journal of Performance of Constructed Facilities
Volume 25, Issue 6
Abstract
Repair actions are generally used to prevent failures and to maintain or extend the lifetime of deteriorating structures. To establish optimum inspection/repair planning for a structure, its performance under uncertainty should be assessed and predicted using probabilistic concepts and methods. This paper presents such an approach applied to deteriorating reinforced concrete (RC) structures under pitting corrosion. The inspection/repair plan is obtained from a probabilistic optimization process. Formulation of the extended lifetime for a given number of inspections is based on a decision tree analysis considering probability of damage detection. A damage detectability function is used to quantify the relation among damage intensity, quality of an inspection method, and probability of damage detection. The probability of repair representing the decision maker’s willingness to make a repair is also considered in the decision analysis. Effects of probabilities of inspection/repair and number of inspections on extended lifetime of an RC structure are investigated. To establish a cost-effective inspection/repair planning process, the formulation proposed is a biobjective optimization problem under uncertainty considering maximization of expected extended lifetime and minimization of expected total cost. The proposed approach is applied to an existing bridge.
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Acknowledgments
The support from (a) the National Science Foundation through NSFCMS-0639428; (b) the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA); (c) the U.S. Federal Highway Administration Cooperative Agreement Award FHADTFH61-07-H-00040; and (d) the U.S. Office of Naval Research Contract Number ONRN00014-08-1-0188 is gratefully acknowledged. The opinions and conclusions presented in this paper are those of the writers and do not necessarily reflect the views of the sponsoring organizations.
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Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 25 • Issue 6 • December 2011
Pages: 534 - 544
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Jul 29, 2010
Accepted: Dec 21, 2010
Published online: Dec 23, 2010
Published in print: Dec 1, 2011
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