Vision-based support in the characterization of superelastic U-shaped SMA elements

CASCIATI Fabio (PROF.), S. Casciati, A. Colnaghi, L. Faravelli, L. Rosadini, Songye Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The authors investigate the feasibility of applying a vision-based displacement-measurement technique in the characterization of a SMA damper recently introduced in the literature. The experimental campaign tests a steel frame on a uni-axial shaking table driven by sinusoidal signals in the frequency range from 1Hz to 5Hz. Three different cameras are used to collect the images, namely an industrial camera and two commercial smartphones. The achieved results are compared. The camera showing the better performance is then used to test the same frame after its base isolation. U-shaped, shape-memory-alloy (SMA) elements are installed as dampers at the isolation level. The accelerations of the shaking table and those of the frame basement are measured by accelerometers. A system of markers is glued on these system components, as well as along the U-shaped elements serving as dampers. The different phases of the test are discussed, in the attempt to obtain as much possible information on the behavior of the SMA elements. Several tests were carried out until the thinner U-shaped element went to failure.
Original languageEnglish
Pages (from-to)641-648
JournalSmart Structures and Systems
Volume24
Issue number5
DOIs
Publication statusPublished - 25 Nov 2019

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