Geomechanics and Engineering

  • 제15권4호
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  • Pages.987-995
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  • 2018
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

OCR evaluation of cohesionless soil in centrifuge model using shear wave velocity

  • Cho, Hyung Ik (Earthquake Research Center, Korea Institute of Geoscience and Mineral Resources) ;
  • Sun, Chang Guk (Earthquake Research Center, Korea Institute of Geoscience and Mineral Resources) ;
  • Kim, Jae Hyun (Department of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Kim, Dong Soo (Department of Civil Engineering, Korean Advanced Institute of Science and Technology)
  • 투고 : 2017.06.21
  • 심사 : 2018.01.08
  • 발행 : 2018.07.20
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, a relationship between small-strain shear modulus ($G_{max}$) and overconsolidation ratio (OCR) based on shear wave velocity ($V_S$) measurement was established to identify the stress history of centrifuge model ground. A centrifuge test was conducted in various centrifugal acceleration levels including loading and unloading sequences to cause various stress histories on centrifuge model ground. The $V_S$ and vertical effective stress were measured at each level of acceleration. Then, a sensitivity analysis was conducted using testing data to ensure the suitability of OCR function for the tested cohesionless soils and found that OCR can be estimated based on $V_S$ measurements irrespective of normally-consolidated or overconsolidated loading conditions. Finally, the developed $G_{max}$-OCR relationship was applied to centrifuge models constructed and tested under various induced stress-history conditions. Through a series of tests, it was concluded that the induced stress history on centrifuge model by compaction, g-level variation, and past overburden load can be analysed quantitatively, and it is convinced that the OCR evaluation technique will contribute to better interpret the centrifuge test results.

키워드

과제정보

연구 과제 주관 기관 : Korea Institute of Geoscience and Mineral Resources (KIGAM), National Research Foundation of Korea (NRF)

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