공항포장 파손예측모형 개발 연구

Abstract

Since pavements are deteriorated, and the traffic volume increases, pavement maintenances have become important. The prediction of a deterioration in airfield pavements is essential to maximize the benefits of pavement management. An accurate prediction of pavement deterioration helps a decision maker to determine the planning and cost allocation of maintenance and rehabilitation more effectively. Pavement condition prediction models are generally developed using pavement age, pavement condition index (PCI), and traffic volume. The purpose of this study was to develope rigid and flexible pavement condition prediction models for runways of airfield pavements based on age, traffic, and PCI. The proposed models were also compared with the models from Micro PAVER, a pavement management system program. These models from Micro PAVER were favorably compared with the developed models in this study. Results from this research indicate that models with an independent variable of accumulative traffic volume predicted better than models with an independent variable of pavement age.