Journal
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
Volume 27, Issue 4, Pages 427-436Publisher
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)CP.1943-5487.0000250
Keywords
Computer aided design; Measurement; Probe instruments; Uncertainty principles; Structural health monitoring; Computer-aided design; Measurement system; Sensor placement; Uncertainties; System identification; Monitoring
Funding
- Swiss National Science Foundation [200020-117670/1]
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Much progress has been achieved in the research field of structural identification, which is attributable to a better understanding of uncertainties, improvement in sensor technologies, and cost reductions. However, data interpretation remains a bottleneck. Too often, too much data are acquired, which hinders interpretation. In this paper, the writers describe a methodology that explicitly indicates when instrumentation can hinder the ability to interpret data. The approach includes uncertainties and dependencies that may affect model predictions. The writers use two performance indices to optimize measurement system designs, i.e.,monitoring costs and expected identification performance. A case study shows that the approach is able to justify a reduction in monitoring costs of 50% compared with an initial measurement configuration.
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