Neural network for flexible pavements maintenance and rehabilitation

Flexible pavements deterioration is expected due to loading and environmental effects. This deterioration leads to reduction in their strength, structural behavior, and serviceability. Diagnosing of deterioration types and applying of correct maintenance technique is an essential objective, especially in early stages, to control the problems and to provide safe and convenient road using. Selection of the optimum maintenance technique leads to functional and economic benefits. This selection is affected by several factors and requires high skills and experience. Therefore, development of an optimization system is very useful for selection of the best solution in the domain of this study. This study aims to develop a neural network system to select the optimum solution in this domain. The proposed system involved mathematical models coded tightly in software. In addition, the system has an attractive, interactive, flexible, and user friendly interface. The proposed system is verified by extensive testing to ensure its efficiency and flexibility.