Linear Prediction Model of Permeability Coefficient of the Saturated Sandy Gravel Medium
Abstract：Taking the sand gravel piled up naturally in the river bed in the middle reaches of the Yellow River as the subject, indoor experiments on the systematic seepage flow of diversified grain sizes mixture were carried out to study the effects of the grain size characteristics of sandy gravel on permeability coefficient, and linear prediction model of permeability coefficient was established with the effective grain size, restriction grain size, coefficient of uniformity and coefficient of curvature as independent variables. The results indicated that the permeability coefficient of sandy gravel could be predicted by the diverse linear regression model. Regression model and independent variables had great influence on the prediction, and the average error between the model prediction and actually measured data was 12.39%.
Keywords：sandy gravel mediumgrain size characteristicspermeability coefficientforecast model
Publication Date：2012-01-01
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：4( 35-37,63 )