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http://dx.doi.org/10.12989/sss.2019.24.5.641

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

Casciati, F. (Dicar, University of Pavia)
Casciati, S. (SIART srl)
Colnaghi, A. (SIART srl)
Faravelli, L. (Dicar, University of Pavia)
Rosadini, L. (SIART srl)
Zhu, S. (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University)
Publication Information
Smart Structures and Systems / v.24, no.5, 2019 , pp. 641-648 More about this Journal
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.
Keywords
base isolation; camera; shaking table test; shape memory alloy; vision-based technology;
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Times Cited By KSCI : 3  (Citation Analysis)
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