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Application of Digital Image Correlations (DIC) Technique on Geotechnical Reduced-Scale Model Tests

  • Tong, Bao (Dept. of Construction Systems Engineering, Sungkyunkwan University, Natural Science Campus) ;
  • Yoo, Chungsik (Dept. of Construction Systems Engineering, Sungkyunkwan University, Natural Science Campus)
  • Received : 2022.02.23
  • Accepted : 2022.03.24
  • Published : 2022.03.31

Abstract

This paper presents illustrative examples of the application of advanced digital image correlation (DIC) technology in the geotechnical laboratory tests, such as shallow footing test, trapdoor test, retaining wall test, and wide width tensile test on geogrid. The theoretical background of the DIC technique is first introduced together with fundamental equations. Relevant reduced-scale model tests were then performed using standard sand while applying the DIC technique to capture the movement of target materials during tests. A number of different approaches were tried to obtain optimized images that allow efficient tracking of material speckles based on the DIC technique. In order to increase the trackability of soil particles, a mix of dyed and regular sand was used during the model tests while specially devised painted speckles were applied to the geogrid. A series of images taken during tests were automatically processed and analyzed using software named VIC-2D that automatically generates displacements and strains. The soil deformation field and associated failure patterns obtained from the DIC technique for each test were found to compare fairly well with the theoretical ones. Also shown is that the DIC technique can also general strains appropriate to the wide width tensile test on geogrid, It is demonstrated in this study that the advanced DIC technique can be effectively used in monitoring the deformation and strain field during a reduced-scale geotechnical model laboratory test.

Keywords

Acknowledgement

This research was supported by the National Research Foundation of Korea (Project Number: NRF-2021R1A2C3011490). This financial support is gratefully acknowledged.

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