Bridge Reliability Assessment Based on Monitoring
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VIEW THE REPLYPublication: Journal of Bridge Engineering
Volume 13, Issue 3
Abstract
During the past decade, monitoring concepts for structural systems have been subjected to a rapid development process. They have become more and more important in the intervention planning (e.g., maintenance, repair, rehabilitation, replacement) on new and existing structures. Nevertheless, there is still a strong need for the efficient use of structural monitoring data in the reliability assessment and prediction models. Updating prediction models, based on monitoring data, affect the intervention strategies. Since these strategies involve costs, monitoring systems assist the efficient spending of available budgets. Therefore, the demand for the efficient use of monitoring data is not only related to structural reliability, but also to cost aspects. In an extended sense, structural monitoring can be considered similar to quality assurance and acceptance sampling, since it is not practically possible to continuously monitor all performance indicators in all critical sections of an entire structural system. Nevertheless, the continuous and simultaneous measurements at discrete points of a deteriorating structural system, as provided by monitoring, allow the assessment of the performance of a structure with respect to different limit states. The aim of this paper is twofold: (a) To present an approach for the efficient inclusion of monitoring data in the structural reliability assessment process; and (b) to demonstrate the use of monitored data for the development of prediction models. The approach is illustrated on an existing highway bridge (the Lehigh River Bridge SR-33), a structure located in Pennsylvania and monitored by the Advanced Technology for Large Structural Systems Center, a National Engineering Research Center at Lehigh University.
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Acknowledgments
The support by grants from the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA) is gratefully acknowledged. The support of the National Science Foundation through Grants Nos. NSFCMS-0638728 and NSFCMS-0639428 to Lehigh University is also 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 organization. The writers want to express their profound thanks to Professor Ben T. Yen and Mr. Ian Hodgson, Lehigh University, for their constructive comments and suggestions and access to the data obtained during the long-term monitoring of the Lehigh River Bridge SR-33. Many of their comments and suggestions have served to improve this paper.
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© 2008 ASCE.
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Received: Mar 29, 2007
Accepted: Sep 5, 2007
Published online: May 1, 2008
Published in print: May 2008
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