Cost-Based Optimum Scheduling of Inspection and Monitoring for Fatigue-Sensitive Structures under Uncertainty
Publication: Journal of Structural Engineering
Volume 137, Issue 11
Abstract
Inspection and monitoring of deteriorating structures are generally performed to assess structural integrity and predict the remaining service life. For deteriorating structures, a reliable prediction of damage occurrence and the time-dependent damage evaluation depend on the accuracy of deterioration models under uncertainty. A probabilistic approach to establish optimum cost-based inspection and monitoring schedules of fatigue-sensitive structures is proposed in this paper. The inspection schedule is the solution of an optimization problem to minimize the expected total cost, including the costs of inspections or monitorings, and the expected failure cost. The failure criterion uses damage detection time and time for damage to reach the critical state. The uncertainties associated with damage occurrence/propagation and damage detection time are both considered. The solution of the optimization provides the inspection times and quality of inspections. The formulation of the optimization for inspection scheduling is extended to monitoring scheduling. Effects of the failure cost on inspection and monitoring scheduling are also studied. The proposed approach is applied to a fatigue-sensitive structure.
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Acknowledgments
The writers gratefully acknowledge support from the National Science Foundation (NSF) through NSFCMS-0639428; the Department of Community and Economic Development in the Commonwealth of Pennsylvania through the Pennsylvania Infrastructure Technology Alliance (PITA); the U.S. Federal Highway Administration (FHWA) Cooperative Agreement Award FHADTFH61-07-H-00040; the U.S. Office of Naval Research (ONR) through contract number ONRN00014-08-1-0188; and the National Aeronautics and Space Administration (NASA) Grant NASANNX10AJ20G. 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
Published In
Journal of Structural Engineering
Volume 137 • Issue 11 • November 2011
Pages: 1319 - 1331
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Jun 15, 2010
Accepted: Dec 27, 2010
Published online: Dec 29, 2010
Published in print: Nov 1, 2011
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