A statistical fatigue life prediction model applicable for fibre-reinforced roller-compacted concrete pavement

This study was conducted to predict the laboratory-scale fatigue life of the fibre-reinforced roller-compacted concrete pavement by determining how macro-synthetic and steel fibres affected its mechanical and the fracture properties. Accordingly, compressive, flexural and indirect tensile strength tests were carried out first and then fatigue tests were done at different stress levels and the related fatigue life was predicted using a multiple linear regression model based on the effective mechanical properties. Results showed that the stress level, fracture energy, and fibre content, respectively, were significant influential factors in the fatigue life prediction process. In the fatigue test, the introduced failure point parameter revealed that the more was the amount of the failure point, the greater was the energy absorbed by the fibres at the cracking zone through the stress transfer mechanism. Finally, the fatigue prediction model was validated through misspecification, heteroscedasticity, and multicollinearity tests which confirmed the regression model’s multilinearity assumption.