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Digital Image Analysis (DIA) for Estimating the Degree of Saturation of The Soil-Water Characteristic Curves (SWCC)

SWCC의 포화도를 구하기 위한 DIA 적용

  • Published : 2008.03.31

Abstract

The aim of this study was to validate the suitability of an digital image analysis (DIA) method to measure the degree of saturation in the unsaturated conditions. This study was carried out on the Joo-Mun-Jin standard sand. A one-dimensional sand column test was used in the constant water level condition to get the correlation equation between the color number ($C_n$) and the measured degree of saturation (5). In addition, the hanging wale. column technique to determine the soil-water charactenstic curve (SWCC) was performed in a Buchner funnel. The average degree of saturation ($S_{ave}$) in the SWCC could be obtained by substituting average color number at each suction head value with the $C_n\;-\;S$ correlation equation. Comparisons were made between the measured results by the hanging water column test and those obtained from DIA method. Results showed that the DIA method tested here provided fairly good saturation distribution values in the drying and wetting processes.

본 연구에서는 불포화토의 포화도를 구하기 위해 디지털 이미지기법(DIA)을 적용하였다. 실험을 위한 시료는 주문진 표준사를 사용하였다. 1차원 모래기둥 시험을 실시하여 일정수위상태에서의 디지털 이미지의 colour number($C_n$)와 포화도(S)와의 상관식을 구하였다. 함수특성곡선(SWCC)을 구하기 위해 Buchner funnel이 부착된 hanging water column test를 실시하였으며, $C_n\;-\;S$ 관계식을 이용하여 각 suction head 단계에 따른 average colour number로부터 포화도를 산정하였다. Hanging water column test와 DIA기법으로부터 산정된 포화도를 비교해 본 결과, DIA기법을 이용하여 SWCC을 효과적으로 예측할 수 있음을 보였다.

Keywords

References

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