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- W2597181646 abstract "This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian preposterior decision theory and requires (1) structural performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results of this study support decisions to select structural systems for which the SHM strategy load monitoring is optimal. (Less)" @default.
- W2597181646 created "2017-03-23" @default.
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- W2597181646 date "2016-01-01" @default.
- W2597181646 modified "2023-09-23" @default.
- W2597181646 title "The Influence of Brittle Daniels System Characteristics on the Value of Load Monitoring Information" @default.
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