Life-Cycle Management of Fatigue-Sensitive Structures Integrating Inspection Information
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Infrastructure Systems
Volume 20, Issue 2
Abstract
Successful management of deteriorating structures requires the reliable prediction of damage occurrence as well as the time-dependent damage propagation under uncertainty. The reliability of the performance prediction process can be significantly improved by integrating information gained from inspection and monitoring actions. This integration leads to a more accurate prediction of the time-dependent damage level and, eventually, to a better supported decision-making process. In this paper, a probabilistic approach is proposed to find an optimum management plan for fatigue-sensitive structures by integrating the available information from inspection actions. The proposed approach utilizes a probabilistic time-dependent damage criterion, inspection cost, and failure cost to find the optimum inspection times under uncertainty. New information resulting from inspection actions performed during the lifetime of the structure is used to update the damage propagation parameters as well as the optimization procedure. This process results in an enhanced management plan which can provide managers the ability to make real-time decisions based on inspection results. The integration of this new information and its impact on the life-cycle management process are thoroughly investigated. In addition, a realistic fatigue critical detail is used to illustrate the proposed probabilistic approach.
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Acknowledgments
The support by grants from (1) the National Science Foundation (NSF) Award CMS-0639428, (2) the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA), (3) the U.S. Federal Highway Administration (FHWA) Cooperative Agreement Award DTFH61-07-H-00040, (4) the U.S. Office of Naval Research (ONR) Awards N00014-08-1-0188 and N00014-12-1-0023, and (5) the National Aeronautics and Space Administration (NASA) Award NNX10AJ20G is gratefully acknowledged. The opinions and conclusions presented in this paper are those of the authors and do not necessarily reflect the views of the sponsoring organizations.
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Published In
Journal of Infrastructure Systems
Volume 20 • Issue 2 • June 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jun 21, 2012
Accepted: May 13, 2013
Published online: May 15, 2013
Published in print: Jun 1, 2014
Discussion open until: Jun 6, 2014
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