4th International Engineering Conference on Developments in Civil & Computer Engineering Applications (IEC2018)
Title: PREDICTION OF CBR AND MR OF FINE GRAINED SOIL USING DCPI
Authors: Alle A. Hussein, Younis M. Alshkane
DOI: 10.23918/iec2018.20
Abstract: Determining the in-situ engineering properties such as Modulus of Resilient (Mr), California Bearing Ratio (CBR) and for some subgrade materials in road construction has always been an economic challenge for geotechnical engineers. Therefore, a number of in-situ tests have been developed to overcome this challenge. One of the most adaptable techniques that can be used to predict geotechnical properties of soils economically is Dynamic Cone Penetration Index test (DCPI). It is accomplished by dropping 8-kg hammer over a height of 575mm and assessing the penetration depth of a 60° cone tip with 20 mm base diameter into the ground per blow for each tested depth. In this paper, the empirical equations to predict CBR and Mr of fine-grained soil using DCPI were reviewed and revised based on data obtained from the literature review. Based on the statistical analysis, two empirical equations were proposed to predict CBR and Mr. The obtained results verify the reliability of the modified equations. Also, the correlation between DCPI and dry density of fine-grained soils was studied.
Keywords: DCPI, CBR, Resilient Modulus, Dry Unit Weight, Water Content, Cohesive Soil.
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