[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12989/sss.2022.30.3.255

Experimental characterization of a smart material via DIC

Casciati, Sara (SIART Srl)
Bortoluzzi, Daniele (SIART Srl)
Faravelli, Lucia (SIART Srl)
Rosadini, Luca (Formerly SIART Srl)

Publication Information

Smart Structures and Systems / v.30, no.3, 2022 , pp. 255-261 More about this Journal

Abstract

When no extensometer is available in a generic tensile-compression test carried out by a universal testing machine (for instance the model BIONIX from Material Testing Systems (MTS)), the test results only provide the relative displacement between the machine grips. The test does not provide any information on the local behaviour of the material. This contribution presents the potential of an application of Digital Image Correlation (DIC) toward the reconstruction of the behaviour along the specimen. In particular, the authors test a Ni-Ti shape memory alloys (SMA) specimen with emphasis on the coupling of the two measurement techniques.

Keywords

data collection; digital image correlation; shape memory alloy; universal testing machine; vision-based techniques;

Citations & Related Records

Times Cited By KSCI : 6 (Citation Analysis)

Reference
Cited By KSCI

1	Casciati, F., Casciati, S., Colnaghi, A., Faravelli, L., Rosadini, L. and Zhu, S. (2019), "Vision-based support in the characterization of superelastic U-shaped SMA elements", Smart Struct. Syst., Int. J., 24(5), 641-648. https://doi.org/10.12989/sss.2019.24.5.641 DOI
2	GEOFIT, https://geofit-project.eu/publications-and-results/projectdeliverables/
3	Hu, Y., Sun, X., Zhu, W. and Li, H. (2019), "Local damage detection of a fan blade under ambient excitation by threedimensional digital image correlation", Smart Struct. Syst., Int. J., 24(5), 597-606. https://doi.org/10.12989/sss.2019.24.5.597 DOI
4	Hu, Y.D., Xia, Q., Hou, R.R., Xia, Y. and Yan, J.Y. (2021), "Computer vision-based displacement measurement with msequence target", Smart Struct. Syst., Int. J., 27(3), 537-546. https://doi.org/10.12989/sss.2021.27.3.537 DOI
5	Kang, M.S., Im, S.B. and An, Y.-K. (2021), "Evaluation of crack opening phenomenon using subset-optimized digital image correlation", Smart Struct. Syst., Int. J., 27(5), 761-768. https://doi.org/10.12989/sss.2021.27.5.761 DOI
6	Qiu, C., Gong, Z., Peng, C. and Li, H. (2020), "Seismic vibration control of an innovative self-centering damper using confined SMA core", Smart Struct. Syst., Int. J., 25(2), 241-254. https://doi.org/10.12989/sss.2020.25.2.241 DOI
7	Rosadini, L. (2019), "Digital Image Correlation" (DIC) come base per il monitoraggio strutturale "vision based" (in Italian), University of Pavia, Master Thesis in Civil Engineering.
8	Wu, L.J., Casciati, F. and Casciati, S. (2014), "Dynamic testing of a laboratory model via vision-based sensing", Eng. Struct., 60, 113-125. https://doi.org/10.1016/j.engstruct.2013.12.002 DOI
9	Wang, B., Zhu, S., Casciati, F., Chen, K. and Jiang, H. (2021), "Cyclic behavior and deformation mechanism of superelastic SMA U-shaped dampers under in-plane and out-of-plane loadings", Smart Mater. Struct., 30, 055009. https://doi.org/10.1088/1361-665X/abedf4 DOI
10	Wang, B., Zhu, S. and Casciati, F. (2020), "Experimental study of novel self-centering seismic base isolators incorporating superelastic shape memory alloys", J. Struct. Eng. ASCE, 04020129. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002679 DOI
11	Zheng, Y., Dong, Y., Che, B. and Anwar, G.A. (2019), "Seismic damage mitigation of bridges with self-adaptive SMA-cablebased bearings", Smart Struct. Syst., Int. J., 24(1), 127-139. https://doi.org/10.12989/sss.2019.24.1.127 DOI