Probabilistic model for the analysis of dynamic cone penetrometer test values in pavement structure evaluation

Reliable analysis and interpretation of the results obtained under testing in pavement design and evaluation require consideration of the nature of th e values under study, including construction of the probabilistic model tha t describes their statistical behavior. The investigation has been focused on the testing data peculiarities related to the dynamic cone penetrometer (DCP), which has become one of the extensively used testing devices in pave ment evaluation. Application of the probabilistic models containing the sto chastic components in pavement design and evaluation is determined by the n ature of the pavement component characteristics, including subgrade soils, formed under the influence of various factors. The probability distribution model for the DCP values has been described based on the analysis of the s tatistical peculiarities of the observed data. The model reflects the main features and physical essence of the DCP values. Some differences in statis tical conclusions based on the models under study have been demonstrated. M odels can be recommended that have a positive influence on studying relatio nships between the DCP characteristics and various pavement design paramete rs and increase the reliability of estimates and solutions in pavement stru cture evaluation.