California Bearing Ratio (CBR) is an indirect method mostly used to investigate the strength of subgrade material for highway design. The CBR of subgrade materials can be determined from costly and time-taking laboratory or in situ CBR tests. These limitations suggest the need for an easy and low-cost in situ direct method to estimate the CBR of subgrade materials. Dynamic cone penetration (DCP) is easy, quick, and economical in situ test in geotechnical uses. However, the use of DCP test to evaluate the CBR of subgrade material is condition specific i.e., local conditions should be considered before adopting existing correlations in engineering design. The objective of this study is therefore to develop a correlation that can predict the CBR of subgrade material from the dynamic cone penetration index (DCPI). Several laboratory and field tests including Plasticity index (PI), Liquid limit (LL) and Plastic limit (PL), in situ density, and classification (sieve analysis and hydrometer analysis), CBR (unsoaked), in situ moisture content, and DCP were conducted. The suitability of the existing model to predict CBR from DCPI was checked. The prediction model was then developed using Statistical Package for the Social Sciences (SPSS) software. The result of the SPSS analysis is log (CBR) = 2.954 – 1.496log (DCPI) with R2 = 0.943. The result shows that a good correlation exist between the dynamic cone penetration indexes (DCPI) and unsoaked CBR values.
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