The Influence of Brittle Daniels System Characteristics on the Value of Load Monitoring Information
作者： Ronald Schneider , Sebastian Thöns
DOI:
关键词: Value of information 、 Engineering 、 Structural engineering 、 Structural health monitoring 、 Bayesian probability 、 Reliability engineering 、 Brittleness 、 System characteristics 、 Structural system 、 Decision theory 、 Value (mathematics)
摘要: This paper addresses the influence of deteriorating brittle Daniels system characteristics on value structural health monitoring (SHM). The SHM is quantified as difference between life cycle benefits with and without SHM. A analysis performed within framework Bayesian preposterior decision theory requires (1) performance modelling prediction, (2) integrity management models, (3) (pre-posterior) (4) coupling models. pre-posterior theoretical facilitates that can be before data are acquired. results this study support decisions to select systems for which strategy load optimal. (Less)
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