Abstract:In recent years, advances in hardware and software technology had brought to significant improvement of NDT (Non-Destructive Test) equipment. In the field of evaluation and designs for the airfield pavement, NDT has been extensively used. NDT is an efficient methodology for assessing the structural condition of an airfield pavement, in the meantime, engineers need to carry other methods for assessing pavement performance, such as visual condition, roughness, and friction characteristics in completing the overall pavement evaluation. In this research, a model combined neuro-fuzzy system, PCI method (pavement condition index, visual inspection) and NDT (Heavy Falling Weight Deflectometer, HWD, structural condition) data are used to evaluate an airfield pavement potential distress. With the help of case studies, it is shown that the proposed model is capable to predict possible area of pavement damage potentials.