Cost-Effective Lifetime Structural Health Monitoring Based on Availability
Publication: Journal of Structural Engineering
Volume 137, Issue 1
Abstract
The state of a structural system subjected to deterioration processes is changing continuously. This state cannot be reliably predicted without considering both aleatory and epistemic uncertainties. To reduce the epistemic uncertainty, inspection and structural health monitoring (SHM) should be performed, and the performance prediction model should be updated periodically. Continuous monitoring is needed to reliably assess and predict the performance of structures. However, due to limited financial resources, continuous monitoring is not practical. Therefore, a cost-effective SHM strategy is necessary. In this paper, the probability that the performance prediction model based on monitoring data is usable in the future is computed by using the statistics of extremes and availability theory. This probability represents the availability of the monitoring data over nonmonitoring periods. The monitoring cost and availability can be found by solving a biobjective optimization problem. This problem consists in simultaneously minimizing the total monitoring cost and maximizing the availability of the monitoring data for performance prediction. Pareto solutions associated with monitoring duration and prediction duration are obtained. The proposed approach is applied to an existing bridge.
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Acknowledgments
The support from (1) the National Science Foundation through Grant Nos. NSFCMS-0638728 and NSFCMS-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 Cooperative Agreement Award No. UNSPECIFIEDDTFH61-07-H-00040; and (4) the U.S. Office of Naval Research Contract No. ONRN00014-080-1-0188 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 Structural Engineering
Volume 137 • Issue 1 • January 2011
Pages: 22 - 33
Copyright
© 2011 ASCE.
History
Received: Aug 26, 2008
Accepted: Jul 13, 2010
Published online: Jul 16, 2010
Published in print: Jan 2011
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