Smart Structures and Systems

  • 제30권3호
  • /
  • Pages.255-261
  • /
  • 2022
  • /
  • 1738-1584(pISSN)
  • /
  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Experimental characterization of a smart material via DIC

  • 투고 : 2022.06.10
  • 심사 : 2022.07.17
  • 발행 : 2022.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

과제정보

The activity reported in this paper has received funding from the European Union Horizon 2020 research and innovation program under grant agreement No. 792210 (GEOFIT).

참고문헌

  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
  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
  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
  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
  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
  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. 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
  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
  10. 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
  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