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The tensile deformation of top-down cracks significantly influences pavement delamination. Accurately formulating the stress intensity factor (SIF) is crucial for assessing the stress/strain near crack tips. In the present study, a robust data mining method called M5 is employed to formulate the SIF induced by pure bending in a multilayer pavement. A comprehensive database is generated through two-dimensional finite element analysis to train the M5' model. Several key parameters pertaining to asphalt and base layers are incorporated into the formulation. A comparative analysis is conducted to evaluate the performance of the developed model against traditional regression methods. A comparison of the developed model with other existing methods confirms its superior performance. Additionally, a parametric study validates the robustness of the developed model in capturing fundamental concepts of fracture mechanics. Finally, a sensitivity analysis is performed to determine the most critical parameters in the development of a predictive model for SIF.|The mode I stress intensity factor of top-down cracks is computed for various conditions. The MNLR, MLR, and M5 methods are used to formulate the mode I SIF of top-down cracks. The fatigue life of the asphalt pavement is assessed using Paris' law. The thickness of the HMA layer is the most critical parameter in predicting SIF.
Olivier Martin, Andrei Kiselev