Abstract
An equivalent relationship between stationary dynamic load and moving vehicular load is of necessity and importance for the fact that pavement responses from nondestructive testing devices with high speeds are usually validated with responses from falling weight deflectometer (FWD), which applies stationary dynamic loads to pavements. Also, two-dimensional (2D) axisymmetric finite element (FE) models with statinary dynamic loads are still popular to represent pavements in service conditions for their less storage space and computational time compared with three-dimensional (3D) FE models. This study aims to provide a methodology using the FE model updating implemented with artificial intelligence algorithms to obtain equivalent stationary dynamic loads applied in 2D axisymmetric FE pavement models for moving vehicular loads applied in 3D FE pavement models. The 2D axisymmetric FE models can eventually provide similar results as 3D FE models but with higher efficiency. Besides, obtained equivalent relationship is independent of structural and material properties such as layer thickness and moduli. This finding significantly extends the application of this equivalent relationship. Furthermore, techniques applied in this study can be used as references for problems in pavement materials and structures such as the model updating, model equivalency, and model optimization.
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