Hazard-Based Optimum Lifetime Inspection and Repair Planning for Deteriorating Structures
Publication: Journal of Structural Engineering
Volume 139, Issue 12
Abstract
The hazard function is one of the most used lifetime distribution functions in reliability analysis of components and systems. Although it is extensively used in several scientific disciplines, few applications have been proposed in the field of civil infrastructure systems. In this paper, the hazard function is used to provide optimal inspection/repair lifetime planning for deteriorating structures through an iterative procedure. The proposed approach is based on the definition of a threshold value for the hazard function. Constraints are imposed based on both the maximum allowable expected total cost and minimum allowable effectiveness of each intervention. Uncertainties related to damage detection during inspections and attitudes towards repair are considered. An optimization procedure for determining the best threshold value for the hazard function, with target maximum expected failure time, is proposed. The method is applied to an existing deteriorating bridge deck under corrosion.
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Acknowledgments
The support from (a) the National Science Foundation through CMS-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 DTFH61-07-H-00040; and (d) the U.S. Office and Naval Research Awards N00014-08-1-0188 and N00014-12-1-0023 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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Published In
Journal of Structural Engineering
Volume 139 • Issue 12 • December 2013
Copyright
© 2013 American Society of Civil Engineers.
History
Received: May 31, 2012
Accepted: Jan 29, 2013
Published online: Jan 31, 2013
Published in print: Dec 1, 2013
Discussion open until: Feb 11, 2014
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