Abstract
This paper presents recommendations for an optimal pavement design. For this purpose, eight optimization models were developed, each corresponding to a different type of pavement. The optimization models were used to obtain the optimal designs for different design data. These results were used to perform a multi-parametric analysis, from which the design recommendations for an optimal design were derived. Since the optimization was performed for a large number of design-parameter combinations, the manual execution of the optimization algorithm was not feasible. Therefore, the optimization model was developed to include a loop to perform an optimization for each of the combinations. This study discusses the project data in which geosynthetically reinforced flexible pavements outperform conventional flexible pavements. In addition, the results of the study allow a direct comparison between geosynthetic reinforced and unreinforced flexible pavement structures once they are optimized.
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