Soil Compaction and Permeability Prediction Models

Abstract

This paper presents correlation equations which relate permeability, maximum dry density and optimum moisture content with classification properties of the soils. The correlation equations were developed from the results of classification, compaction and permeability tests, and statistical analyses. The test soils were prepared from four soil components, namely, bentonite, limestone dust, sand and gravel. These four components were blended in different proportions to form 57 different mixes. The standard Proctor compaction tests were adopted, and both the falling and constant head test methods were used in the permeability tests. The permeability, maximum dry density and optimum moisture content data, were correlated with the soil's classification properties by using an available computer program SAS. Three sets of correlation equations are developed, one each for the maximum dry density, optimum moisture content and permeability. Each set of equations contains two different prediction models. A comparison with the test data indicates that predictions within 95% confidence interval can be obtained from the models developed. Practical applications of these prediction models and the necessary precautions for using these models are discussed.