Journal
ENGINEERING STRUCTURES
Volume 30, Issue 12, Pages 3644-3653Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.engstruct.2008.06.010
Keywords
Monitoring programs; Structural degradation; Prediction functions; Monitored extreme data; Performance assessment; Acceptance sampling considerations; Reliability profiles
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Funding
- Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA)
- National Science Foundation [CMS-0638728, CMS-0639428]
- Federal Highway Administration [DTFH61-07-H-0040]
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Engineering structures are subjected to time-dependent loading and strength degradation processes. The main purpose of both designer and owner is to keep these processes under control. Several numerical approaches based oil mechanical, physical, chemical or combined models have been recently proposed to describe time-dependent processes of engineering structures. Most of them require considerations of both aleatory and epistemic uncertainties. The inclusion of such uncertainties demands intensive studies in space and time of engineering structures under environmental and mechanical stressors. Existing mechanical models for structural performance assessment can be validated by using structural health monitoring. The use of monitored extreme data allows (a) the reduction Of uncertainties associated with numerical models, and (b) the validation and updating of existing prediction models and, sometimes, the creation of novel models. This paper presents a general approach for the development of performance functions based oil monitored extreme data and the estimation of possible monitoring interruption periods. Ail existing bridge in Wisconsin is used as an example for the application of the proposed approach. (C) 2008 Elsevier Ltd. All rights reserved.
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