Abstract

The interaction between vehicles and asphalt pavements can cause different degrees of damage to the pavement structure. Due to this interaction, deformation of pavement is commonly observed, potentially affecting ride quality and driving safety. Investigating the responses of the vehicle–pavement interaction to different pavement structures is therefore a curial task. To this end, we proposed a vehicle–pavement-coupled dynamic model, based on the accelerated loading test of the Research Institute of Highway MOT Track (RIOHTrack). This model is derived by coupling a heavy-duty truck vibration model and the well-known huge multi-layer rectangular plate model. The heavy-duty truck vibration model which describes a 3D vehicle–pavement dynamics system is constructed according to test conditions. We formulate the coupling based on the variable-order fractional Kelvin foundation and the random dynamic load. In particular, to obtain the random dynamic load, we first analyze the time domain equation of road roughness from the field data set of the RIOHTrack test track and then use the Galerkin method for numerical calculation. Using the proposed model, we simulated 19 types of pavement structures of the RIOHTrack test track, which characterize the primary features of the empirical data set. Furthermore, we discuss the bifurcation consensus of the dynamic response of the front and rear wheels under different loads and analyzes comprehensively the dynamic responses of different pavement structures. The results show that the vehicle–pavement-coupled dynamic response model proposed in this paper has better applicability to simulate deformation for different asphalt pavement structures and better reflects the history-dependent process and memory effect of pavement deformation.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call