Flexible pavements are prone to premature deterioration, and researchers unresolved regarding the importance of underlying causes resulting in inappropriately selected modeling parameters increased uncertainty predicting subsequent behavior performance. A windshield survey, literature fuzzy Delphi study were undertaken as complementary approaches costly conventional investigations identify reas...

The use of falling weight deflectometer—based backcalculation techniques to determine pavement layer moduli is a cost-effective and widely used method for the structural evaluation of an existing pavement. The nonlinear stress-sensitive response of pavement geomaterials has been well established, and mechanisticbased pavement design can be improved by inclusion of these nonlinear material prope...

Here we establish that equivalent single-axle loads values can be estimated using artificial neural networks without the complex design equality of American Association of State Highway and Transportation Officials (AASHTO). More importantly, we find that the neural network model gives the coefficients to be able to obtain the actual load values using the AASHTO design values. Thus, those desig...

A recursive non-linear model was developed for the prediction of pavement performance as a function of traffic characteristics, pavement structural properties and environmental conditions. The model highlights some of the advantages of relaxing the linear restriction that is usually placed on the specification form of pavement performance models. First, a functional form that better represents ...

The load-bearing capacity of pavement structures is a fundamental structural performance metric of transportation infrastructure networks in the context of safe and efficient movement of people and goods from one place to another. Non-destructive test (NDT) methods are typically employed to routinely evaluate the structural condition of pavement structures, their lifespan and the appropriate ma...

A potential automated pavement evaluation system to address multisensor applications; integrate different types of sensors , techniques, and information; and offer more sophisticated and intelligent processing capabilities for improved pavement management is described. The separate components of this system either now exist in prototype form or are under development . Such a system could automa...