Romain Pasquier, James-A. Goulet and Ian F.C. Smith
Article (2017)
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Accepted Version Terms of Use: Creative Commons Attribution Non-commercial No Derivatives . Download (1MB) |
Cite this document: | Pasquier, R., Goulet, J.-A. & Smith, I. F.C. (2017). Measurement system design for civil infrastructure using expected utility. Advanced Engineering Informatics, 32, p. 40-51. doi:10.1016/j.aei.2016.12.002 |
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Abstract
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.
Uncontrolled Keywords
Sensor placement, Model falsification, Utility function, Optimization, Fatigue assessment, Actualized repair cost
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Additional Information: | Titre du manuscrit: Measurement system design for maximizing the expected utility of monitoring actions |
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Subjects: |
1000 Génie civil > 1000 Génie civil 1100 Génie des structures > 1100 Génie des structures 1100 Génie des structures > 1104 Analyse des structures |
Department: | Département des génies civil, géologique et des mines |
Research Center: | Non applicable |
Date Deposited: | 02 Feb 2018 12:49 |
Last Modified: | 12 Aug 2021 14:48 |
PolyPublie URL: | https://publications.polymtl.ca/2964/ |
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Journal Title: | Advanced Engineering Informatics (vol. 32) |
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Publisher: | Elsevier |
Official URL: | https://doi.org/10.1016/j.aei.2016.12.002 |
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