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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2999

Title: PREDICTION OF CALIFORNIA BEARING RATIO (CBR) VALUE FROM INDEX PROPERTIES OF SOIL
Authors: Zelalem, Worku Ferede
Advisors: Dr Hadush Seged
Copyright: Apr-2010
Date Added: 11-May-2012
Publisher: AAU
Abstract: With the objective of predicting CBR value from index properties of soil, granular and silty-clay soils data, having all the associated test results with corresponding CBR values, were collected from consulting firms and control laboratory tests were done from subgrade soils around Addis Ababa. For granular soils, the independent variables considered are optimum moisture content (OMC), maximum dry density (MDD) and 60% passing sieve size (D60). A strong correlation was established between CBR, OMC and MDD with coefficient of determination of 0.863 for a sample size of 53. For the case of silty-clay soils, the considered independent variables were the liquid limit (LL), plastic limit (PL), plasticity index (PI), optimum moisture content (OMC), percent passing sieve number 0.075mm (P200) and Maximum dry density (MDD). A reliable strong correlation as for the granular soils couldn’t be established .The maximum value attained for the coefficient of determination is 0.564 for a sample size of 106 for a correlation between CBR, LL and P200
URI: http://hdl.handle.net/123456789/2999
Appears in:Thesis - Civil Engineering

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