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Measurement system design for civil infrastructure using expected utility

Romain Pasquier, James Alexandre Goulet and Ian F.C. Smith

Article (2017)

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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.

Uncontrolled Keywords

Sensor placement, Model falsification, Utility function, Optimization, Fatigue assessment, Actualized repair cost

Additional Information: Titre du manuscrit: Measurement system design for maximizing the expected utility of monitoring actions
Subjects: 1000 Civil engineering > 1000 Civil engineering
1100 Structural engineering > 1100 Structural engineering
1100 Structural engineering > 1104 Structural analysis
Department: Department of Civil, Geological and Mining Engineering
PolyPublie URL: https://publications.polymtl.ca/2964/
Journal Title: Advanced Engineering Informatics (vol. 32)
Publisher: Elsevier
DOI: 10.1016/j.aei.2016.12.002
Official URL: https://doi.org/10.1016/j.aei.2016.12.002
Date Deposited: 02 Feb 2018 12:49
Last Modified: 09 Jun 2023 11:57
Cite in APA 7: Pasquier, R., Goulet, J. A., & Smith, I. F.C. (2017). Measurement system design for civil infrastructure using expected utility. Advanced Engineering Informatics, 32, 40-51. https://doi.org/10.1016/j.aei.2016.12.002


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