Prediction of the surface rutting of unpaved road – Case study from B&T Quang Binh windfarm project

Abstract

Unpaved roads, lacking a permanent surface course, are susceptible to surface deformation known as rutting. However, rutting estimation is often overlooked in the design process. The objective of this study is to investigate existing correlations from literature and present the results of a case study conducted at the B&T Quang Binh windfarm project in Vietnam. The findings demonstrate that some 2-parameters empirical correlations from literature can predict rutting depth effectively, with a coefficient of determination (R²) exceeding 0.90. The value of 2 parameters of each correlation can be obtained by regression analysis from the results of trafficking tests. Therefore, the use of these correlations shows promising prospects for rutting prediction in unpaved roads.