<p>Engineering practices have shown that the accurate assessment of stratum hydraulic conductivity (SHC) is crucial for ensuring engineering safety. A method proposed by Elsworth and Lee (2005) based on on-the-fly piezocone sounding provides an effective approach to SHC evaluation, but previous studies overlooked SHC anisotropy. The literature review reveals that the anisotropy ratio (horizontal-to-vertical SHC) typically ranges between 1.1 and 2.7 for most sedimentary formations, reflecting moderate but consistent directional dependence in SHC. This study addresses this limitation by incorporating SHC anisotropy into the original assumptions and further explicitly considers the effect of OCR. To validate the efficacy of this modified method, two case histories are examined. The results indicate that the predicted SHCs obtained using the modified method are in closer agreement with measured values compared to previous methods. The influence of SHC anisotropy and OCR on predicted SHCs cannot be disregarded, and the modified assumptions demonstrate a stronger correlation with engineering outcomes.</p>

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A modified method for evaluating hydraulic conductivities from on-the-fly piezocone sounding

  • Jia-Bin Li,
  • Ming-Guang Li,
  • Xiao Xiao,
  • Lei Han,
  • Jin-Hui He

摘要

Engineering practices have shown that the accurate assessment of stratum hydraulic conductivity (SHC) is crucial for ensuring engineering safety. A method proposed by Elsworth and Lee (2005) based on on-the-fly piezocone sounding provides an effective approach to SHC evaluation, but previous studies overlooked SHC anisotropy. The literature review reveals that the anisotropy ratio (horizontal-to-vertical SHC) typically ranges between 1.1 and 2.7 for most sedimentary formations, reflecting moderate but consistent directional dependence in SHC. This study addresses this limitation by incorporating SHC anisotropy into the original assumptions and further explicitly considers the effect of OCR. To validate the efficacy of this modified method, two case histories are examined. The results indicate that the predicted SHCs obtained using the modified method are in closer agreement with measured values compared to previous methods. The influence of SHC anisotropy and OCR on predicted SHCs cannot be disregarded, and the modified assumptions demonstrate a stronger correlation with engineering outcomes.