Smart Structures and Systems

  • 제30권2호
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  • Pages.159-172
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  • 2022
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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Rod effects on transferred energy into SPT sampler using smart measurement system

  • Park, Geunwoo (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Kim, Namsun (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Hong, Won-Taek (Department of Civil and Environmental Engineering, Gachon University) ;
  • Lee, Jong-Sub (School of Civil, Environmental and Architectural Engineering, Korea University)
  • 투고 : 2021.09.02
  • 심사 : 2022.05.06
  • 발행 : 2022.08.25
⟨ 이전 논문 다음 논문 ⟩

초록

To improve the accuracy of the standard penetration test (SPT) results, smart measurement system, which considers the energy transfer ratio into the sampler (ETRSampler), is required. The objective of this study is to evaluate the effects of joints and rod length on the transferred energy into the sampler. The energy transfer ratios into the rod head (ETRHead) and ETRSampler, and the energy ratio from the head to the sampler (ERHS) were obtained using energy modules, which were installed at the rod head and above the SPT sampler. Linear regression analyses are conducted to correlate the ERHS with the number of joints, rod length, and SPT N-values. In addition, the dynamic resistances are calculated using both transferred energies into the rod head and into the sampler, and are compared with the corrected cone tip resistance measured from the cone penetration test (CPT). While the ETRHead are generally constant, but the ETRSampler and ERHS gradually decrease along the depth or the number of joints, except at certain depths with high SPT N-values. Thus, the ERHS can be estimated using the number of joints, rod length, and SPT N-values. The dynamic resistance evaluated by ESampler produces a better correlation with the corrected cone tip resistance than that by EHead. This study suggests that transferred energy into the SPT sampler may be effectively used for more accurate subsurface characterization.

키워드

과제정보

This work is supported by Smart City R&D project of the Korea Agency for Infrastructure Tech-nology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 22NSPSB149830-05).

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