한국지반신소재학회논문집 (Journal of the Korean Geosynthetics Society)

  • 제16권4호
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  • Pages.191-210
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  • 2017
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  • 2508-2876(pISSN)
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  • 2287-9528(eISSN)
한국지반신소재학회 (Korean Geosynthetics Society)
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Evaluation on the Performance of Deep Excavation by Using PIV Technique

  • Abbas, Qaisar (School of Civil and Environmental Engineering, Sungkyunkwan Univ. Natural Sciences Campus) ;
  • Song, Ju-sang (School of Civil and Environmental Engineering, Sungkyunkwan Univ. Natural Sciences Campus) ;
  • Yoo, Chung-Sik (School of Civil and Environmental Engineering, Sungkyunkwan Univ. Natural Sciences Campus)
  • 투고 : 2017.11.27
  • 심사 : 2017.12.22
  • 발행 : 2017.12.30
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초록

The concern study, present the results of experimental study on the performance of deep excavation by using image processing technique particle image velocimetry (PIV). The purpose of present study is to check the application of PIV for the successive ground deformation during deep excavation. To meet the objectives of concern study, a series of reduce scale model test box experiments are performed by considering the wall stiffness, ground water table effect and ground relative density. The results are presented in form of contour and vector plots and further based on PIV analysis wall and ground displacement profile are drawn. The results of present study, indicate that, the PIV technique is useful to demonstrate the ground deformation zone during the successive ground excavation as the degree of accuracy in PIV analysis and measured results with LVDT are within 1%. Further the vector and contours plot effectively demonstrate the ground behavior under different conditions and the PIV analysis results fully support the measured results.

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피인용 문헌

  1. Development of AI-based Prediction and Assessment Program for Tunnelling Impact vol.18, pp.4, 2017, https://doi.org/10.12814/jkgss.2019.18.4.039