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Correlation of Hydraulic Conductivity with Grain Size Distribution Parameters


Affiliations
1 Civil Engineering Department, PEC University of Technology, Chandigarh, India
 

Hydraulic conductivity is a soil characteristic which plays an important role in geotechnical and water resources projects making its determination an important task. Most convenient method to accomplish this task is by using empirical relationships correlating hydraulic conductivity with various properties of porous media. This study aims at the development of regression models to predict Hydraulic conductivity of sandy soils by incorporating two grain size distribution parameters which are the representative grain size and standard deviation of Grain size distribution. Linear and nonlinear regression models were developed and compared with already established empirical formulae.

Keywords

Correlation, Least Square Regression Method, Hydraulic Conductivity, Grain Size, Grain Size Distribution, Standard Deviation of Grain Size Distribution.
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  • Correlation of Hydraulic Conductivity with Grain Size Distribution Parameters

Abstract Views: 199  |  PDF Views: 165

Authors

M. A. Alam
Civil Engineering Department, PEC University of Technology, Chandigarh, India
Aditya Kapoor
Civil Engineering Department, PEC University of Technology, Chandigarh, India

Abstract


Hydraulic conductivity is a soil characteristic which plays an important role in geotechnical and water resources projects making its determination an important task. Most convenient method to accomplish this task is by using empirical relationships correlating hydraulic conductivity with various properties of porous media. This study aims at the development of regression models to predict Hydraulic conductivity of sandy soils by incorporating two grain size distribution parameters which are the representative grain size and standard deviation of Grain size distribution. Linear and nonlinear regression models were developed and compared with already established empirical formulae.

Keywords


Correlation, Least Square Regression Method, Hydraulic Conductivity, Grain Size, Grain Size Distribution, Standard Deviation of Grain Size Distribution.