The objective of this research was to improve the accuracy of the MEPDG to predict the pavement performance in Kansas. This objective was achieved by evaluating the MEPDG-predicted performance of Kansas projects, as compared with the pavement performance data from the pavement management system (PMS), and calibrating the MEPDG models based on the pavement performance data. In this study, 28 flexible pavement projects and 32 rigid pavement projects with different material properties, traffic volumes, and climate conditions were strategically selected throughout Kansas. The AASHTO ME Design software (Version 1.3) was used in this study.


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    Titel :

    Calibrating the Mechanistic-Empirical Pavement Design Guide for Kansas


    Beteiligte:
    X. Sun (Autor:in) / J. Han (Autor:in) / R. L. Parsons (Autor:in) / A. Misra (Autor:in) / J. K. Thakur (Autor:in)

    Erscheinungsdatum :

    2015


    Format / Umfang :

    235 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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