Multi-faceted investigation and modeling of compaction parameters for road construction

Abstract Compaction parameters for road construction were multi-faceted investigated and modeled in this study. For this aim, aggregate samples were randomly taken from D-100/11 highway section in Duzce. Standard Procter tests, sieve analysis, unit weight in natural state ( γ n ), unit weight in dry state ( γ d ), water content ( w ), physical and mechanical properties of aggregate samples were determined by conducting experiments in laboratory. By using SPSS software programme statistical analyses were performed on the experimental test results. Different prediction models were developed for the prediction of maximum γ d based on the compaction parameters and the particle diameter of aggregates. For the maximum γ d the correlation coefficient was found perfect level between developed prediction model and the current compaction test results. In order to determine γ d , γ n and w of compacted aggregate samples in field, different prediction models were also developed based on the penetration test results. As a result, the entire relationship between compaction parameters and particle diameter of aggregates were detailed determined and it was also seen that the developed prediction models can be easy used for the prediction of the compaction test parameters.