The rutting depth is an important index to evaluate the damage degree of pavement. Therefore, establishing accurate prediction model can guide pavement design and provide necessary basis for maintenance. However, sample size data small, sampling not standardized, which makes it hard establish a with high accuracy. Based on RIOHTrack’s asphalt structure, this study builds reliable data-augmented...

Water erosion causes severe soil damage in northern forests of Iran which is associated with different rut depths in skid trails. The aim of this study was to assess rutting and soil displacement on skid trails to mitigate water erosion. Therefore the research was carried out in eight parcels of district No 3 of Shafarood Forest in the North of Iran. In order to evaluate the amount of erosion i...

This paper proposes the use of neural network(NN-) based pavement structural analysis tools as surrogates for the flexible pavement response analysis in the new mechanistic empirical pavement design guide (MEPDG) developed for the American State Highway and Transportation Officials (AASHTO). Some of the recent successful applications of NN-based structural analysis models for predicting critica...

The use of Electric Vehicles (EV) seems to be a promising solution achieve sustainable road transport system. Among the contactless dynamic vehicle charging technologies, Charging Units (CUs)—cement concrete box—embedded into pavement favorable option. available scientific papers related structural effects embedding CUs in pavements consider CU as solid box, even if cavity is needed for electri...

Through a simple performance dynamic modulus test (SPT), standard rutting test, Hamburg French and asphalt pavement analyzer the resistance of mixtures in middle lower courses three semi-rigid base Beijing full-scale track road China was evaluated. The results show that can be greatly improved by using low-grade asphalt, especially 30# asphalt. SBS modified is also better. SPT indirectly charac...