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Soil Water Characteristic Curve for Weathered Granite Soils - A Prediction Method  

Lee Sung-Jin (Research Development Team, LG E & C)
Lee Hye-Ji (Pusan Newport North Container Terminal)
Lee Seung-Rae (Dept. of Civil & Envir. Eng., KAIST)
Publication Information
Journal of the Korean Geotechnical Society / v.21, no.1, 2005 , pp. 15-27 More about this Journal
Abstract
In this paper, a method reasonably predicting soil water characteristic curve of domestic weathered granite soils was suggested, based on the test results obtained through experiments. In other words, a method to estimate the parameters of Fredlund and Xing's equation using an ANN (artificial neural network) was proposed. The particle size distribution, compacted water content and void ratio were used as input data in the ANN model for predicting the parameters, since it was found that these basic soil properties affect the parameters obtained from the test results and the fitting results of SWCC. The network model proposed in this study to obtain the parameters of Fredlund and Xing's SWCC equation produced reliable predictions, and the precision of the prediction results from the proposed method was high, in comparison with the prediction results of other methods.
Keywords
ANN (Artificial Neural Network); Particle size distribution; Prediction method; Soil water characteristic curve; Unsaturated soil; Weathered granite soil;
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Times Cited By KSCI : 1  (Citation Analysis)
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