Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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Model-assisted probabilistic reliability assessment for structural health monitoring systems
The lack of accepted validation protocols is considered by many one of the most significant barriers to successful implementation of structural health monitoring (SHM) systems. Before the potential of SHM systems as enablers of condition-based maintenance and prognostic strategies can be realized, it is necessary for the performance of these systems to be validated in terms of their sensitivity with respect to the variables that they intend to monitor, their robustness with respect to benign changes in their operating environment, and their reliability over their expected useful life. No formal methodology has yet been developed to address SHM system validation. This paper describes a model-assisted probabilistic methodology to ensure the reliability of SHM systems for damage detection, localization, and sizing. A hierarchical approach is presented that attempts to minimize the number of samples, the length of time, and degree of full-scale testing required for statistically meaningful characterization results. The feasibility of applying this approach to typical sensing methods found in SHM systems is investigated, and additional challenges concerning model reliability and uncertainty propagation are addressed.
Model-assisted probabilistic reliability assessment for structural health monitoring systems
The lack of accepted validation protocols is considered by many one of the most significant barriers to successful implementation of structural health monitoring (SHM) systems. Before the potential of SHM systems as enablers of condition-based maintenance and prognostic strategies can be realized, it is necessary for the performance of these systems to be validated in terms of their sensitivity with respect to the variables that they intend to monitor, their robustness with respect to benign changes in their operating environment, and their reliability over their expected useful life. No formal methodology has yet been developed to address SHM system validation. This paper describes a model-assisted probabilistic methodology to ensure the reliability of SHM systems for damage detection, localization, and sizing. A hierarchical approach is presented that attempts to minimize the number of samples, the length of time, and degree of full-scale testing required for statistically meaningful characterization results. The feasibility of applying this approach to typical sensing methods found in SHM systems is investigated, and additional challenges concerning model reliability and uncertainty propagation are addressed.
Model-assisted probabilistic reliability assessment for structural health monitoring systems
Modellgestützte Zuverlässigkeitsbewertung für Bauwerksüberwachungssysteme
Aldrin, John C. (Autor:in) / Medina, Enrique A. (Autor:in) / Lindgren, Eric A. (Autor:in) / Buynak, Charles (Autor:in) / Steffes, Gary (Autor:in) / Derriso, Mark (Autor:in)
2009
8 Seiten, 2 Bilder, 19 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
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