Abstract
The development of low-cost measurement devices for dynamic identification of structures has gained considerable interest in recent times. The high cost of traditional systems has led several authors to evaluate the feasibility of using affordable acquisition systems. This article aims to quantify the uncertainties of the modal parameters of a flexible structure, instrumented with traditional and low-cost measurement devices. The evaluated low-cost acquisition systems were smartphones and Raspberry Pi microprocessors, while the conventional system consisted of highly sensitive piezoelectric accelerometers. The instrumented structure was a steel pedestrian bridge located in the city of Barranquilla. Bayesian methodologies were used to identify the modal parameters and their associated uncertainties in terms of probability distributions. The results obtained show the feasibility of using low-cost devices to determine the dynamic properties of a flexible structure.KeywordsSystem identificationBayesian inferenceLow-cost measurement deviceUncertainties quantificationStructural health monitoring
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