Journal
ADVANCED ENGINEERING INFORMATICS
Volume 32, Issue -, Pages 40-51Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.aei.2016.12.002
Keywords
Sensor placement; Model falsification; Utility function; Optimization; Fatigue assessment; Actualized repair cost
Funding
- Swiss National Science Foundation [200020-155972]
- Swiss National Science Foundation (SNF) [200020_155972] Funding Source: Swiss National Science Foundation (SNF)
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For system identification, most sensor-placement strategies are based on the minimization of the model parameter uncertainty. However, reducing the uncertainty in remaining-life prognosis of structures is often more relevant. This paper proposes an optimization strategy using utility theory and probabilistic behavior prognoses based on model falsification to support decisions related to monitoring interventions. This approach, illustrated by the full-scale case study of a bridge, allows quantification of the expected utility of measurement systems while also indicating the profitability of monitoring actions. In addition, this approach is able to determine when the expected performance of monitoring configurations is reduced due to over-instrumentation. The use of model falsification for system identification allows for explicit inclusion of engineering heuristics in this knowledge intensive task while also offering robustness to effects of systematic modeling errors that are associated with idealization of complex civil structures. (C) 2016 Elsevier Ltd. All rights reserved.
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