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Performance-driven measurement system design for structural identification

James Goulet, Ian F. C. Smith

Article (2013)

Open Access document in PolyPublie

Document published while its authors were not affiliated with Polytechnique Montréal

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Abstract

Much progress has been achieved in the field of structural identification due to a betterunderstanding of uncertainties, improvement in sensor technologies and cost reductions. However,data interpretation remains a bottleneck. Too often, too much data is acquired, thus hinderinginterpretation. In this paper, a methodology is described that explicitly indicates wheninstrumentation can decreases the ability to interpret data. The approach includes uncertaintiesalong with dependencies that may affect model predictions. Two performance indices are usedto optimize measurement system designs: monitoring costs and expected identification performance.A case-study shows that the approach is able to justify a reduction in monitoring costsof 50% compared with an initial measurement configuration.

Uncontrolled Keywords

Computer-aided design, Measurement System, Sensor placement, Uncertainties, dependencies, Expected Identifiability, System Identification, Monitoring

Subjects: 1000 Civil engineering > 1000 Civil engineering
Department: Department of Civil, Geological and Mining Engineering
Funders: Swiss National Science Foundation
Grant number: 200020-117670/1
PolyPublie URL: https://publications.polymtl.ca/2888/
Journal Title: Journal of Computing in Civil Engineering (vol. 27, no. 4)
Publisher: ASCE
DOI: 10.1061/(asce)cp.1943-5487.0000250
Official URL: https://doi.org/10.1061/(asce)cp.1943-5487.0000250
Date Deposited: 15 Jan 2018 15:21
Last Modified: 18 Nov 2022 20:30
Cite in APA 7: Goulet, J., & Smith, I. F. C. (2013). Performance-driven measurement system design for structural identification. Journal of Computing in Civil Engineering, 27(4), 427-436. https://doi.org/10.1061/(asce)cp.1943-5487.0000250

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