Engineering Commons^™

Optimal Pavement Design And Rehabilitation Planning Using A Mechanistic-Empirical Approach, Yun Bai, Osman Erman Gungor, Jaime Alberto Hernandez-Urrea, Yanfeng Ouyang, Imad L. Al-Qadi

Civil and Environmental Engineering Faculty Research and Publications

This paper presents the development of a pavement design and rehabilitation optimization decision-making framework based on Mechanistic-Empirical (ME) roughness transfer models. The AASHTOWare Pavement ME Design (the software of Pavement ME Design) is used to estimate pavement deterioration based on the combined effects of permanent deformation, fatigue, and thermal cracking. The optimization problem is first formulated into a mixed-integer nonlinear programming model to address the predominant trade-off between agency and user costs. To deal with the complexity associated with the pavement roughness transfer functions in the software and to use the roughness values as input to the optimization framework, a …