PREDECTION OF RURAL ROAD PAVEMENT PERFORMANCE USING DCP

Abstract

For a new design, resilient modulus values are generally obtained by conducting repeated triaxial tests on reconstituted/undisturbed cylindrical specimens. Because of the complexities encountered with the test, in-situ tests would be desirable, if reliable correlation can be established. In evaluating existing pavements for rehabilitation selection, the pavement layers characterization is even more complex. The main focus of this study is to develop a model which correlates the California bearing ratio (CBR) with dynamic cone penetration index (DCPI). In support of the study, dynamic cone penetration lests were performed at selected locations for all the rural road pavement layers each selected test section and Jaboratory CBR tests were conducted for the same materials at field moisture content and density in the laboratory. Resilient modulus is calculated for the pavement layers using Heukelom equation. Damage analysis was performed for both fatigue cracking and permanent deformation. In this case only permanent deformation is considered. The secondary objective is to develop a failure criterion for permanent deformation. In support of this objective, the average rutting values of the test sections, the damage caused by all commercial vehicles (VDFs) are considered. The cumulative standard axles are estimated at 20mm rut depth, and the compressive strain on the top of the subgrade is calculated using bitumen stress analysis in roads (BISAR) software.