• 제목/요약/키워드: Kozeny-Carmen equation

검색결과 2건 처리시간 0.019초

점성토의 투수계수 예측 (Prediction of Permeability in Cohesive Soils)

  • 이상헌;이문세
    • 지질공학
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    • 제19권3호
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    • pp.409-415
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    • 2009
  • 일반적으로 흙의 투수계수를 예측하기 위하여 Kozeny-Carman 공식이 널리 적용되어왔다. 그러나 Kozeny-Carman 공식은 모래질 흙의 투수계수 예측에는 좋은 결과를 나타내나 점성토와 같은 세립토에는 적합하지 않다. 따라서 본 논문에서는 Kozeny-Carman 공식을 고려하여 점성토의 투수계수를 예측할 수 있는 이론식을 제시하였다. 이론식을 위해 해안가의 점성토와 댐의 심벽재로 사용하는 다짐 점성토의 토질특성에 대해 조사 분석하였다. 연구 결과, 토질특성과 투수계수 사이의 주요 관계 요소로, 해안가 점성토는 점토함유율, 다짐 점성토는 #200통과율과 관계가 있는 것으로 나타났다.

고해상도 X-ray CT 를 이용한 토양표면 피막의 공극율 및 포화수리전도도 측정 (Saturated Hydraulic Conductivity of Surface Seals Estimated from Computed Tomography-Measured Porosity)

  • 이상수;;;;;옥용식
    • 한국환경농학회:학술대회논문집
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    • 한국환경농학회 2011년도 30주년 정기총회 및 국제심포지엄
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    • pp.207-222
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    • 2011
  • Relationships between soil saturated hydraulic conductivity ($K_s$) and porosity (${\phi}$) have been developed over many years; however, use of these relationships for evaluating rain-induced seals is limited mainly because of difficulties in estimating seal pore-size characteristics. The objectives of this study were to evaluate the $K_s$ of soil surface seals over a range of thicknesses, where seal thickness was determined using a High-Resolution-Computed-Tomography (HRCT) scanner, and to investigate relationships between $K_s$ and ${\phi}$ of developing seals in samples with equivalent diameters (e.d.) ${\geq}15\;{\mu}m$. A Mexico silt loam soil was packed to a bulk density (${\rho}_b$) of $1.1\;Mg\;m^{-3}$ in cylinders 160-mm i.d. by 160-mm long and subjected to $61-mm\;h^{-1}$ simulated rainfall having a kinetic energy (KE) of $25\;J\;m^{-2}\;min^{-1}$ for 7.5, 15, 30, and 60 min to create a range in seal development. Thicknesses of the seal layers were determined by analysis of HRCT images of seals. The $K_s$ values of the seals were estimated using an effective $K_s$ value ($K_{s-eff}$). The $K_s-{\phi}$ relationship was described by a Kozeny and Carmen equation, $K_s=B{\phi}^n$; where B and n are empirical constants and n = 31. This approach explained 86% of the variation between $K_s$ and ${\phi}$ within the soil seals. Knowledge of surface seal information and hydraulic conductivity can provide useful information to use in management of sites prone to sealing formation.

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