The dynamic modulus is one of the fundamental properties defining the response of asphalt mixtures in a flexible pavement system. It is an essential input of the Mechanistic-Empirical Pavement Design Guide (MEPDG) software for asphalt pavement design. The dynamic modulus can be evaluated by several existing direct testing procedures, but the tests are difficult and costly, proving complicated for engineers to carry out during the pavement design process. Many studies have been done concerning the predictive model of dynamic modulus. This presentation presents a comprehensive study about developing a predictive model of dynamic modulus for characterizing the asphalt concrete mixtures used in Florida. A laboratory experimental program was developed to evaluate the dynamic modulus of selected Florida Superpave asphalt concrete mixtures. Based on the test results and analyses, a dynamic modulus prediction model was constructed. The results showed that the variables related to aggregate gradation, mix volumetric, percent weight of asphalt content, loading frequency and temperature had influence on the dynamic modulus of the hot mix asphalt mixtures. The predicted results of the developed model were very comparable with the test data.The predictive model could be more suitable for predicting dynamic modulus of the hot mix asphalt mixtures used in Florida.


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    Titel :

    Predicting Dynamic Modulus of Florida Hot Mix Asphalt Mixtures


    Beteiligte:
    Yang, Enhui (Autor:in) / Qiu, Yanjun (Autor:in) / Ping, W. Virgil (Autor:in) / Sheng, Biqing (Autor:in)

    Kongress:

    10th Asia Pacific Transportation Development Conference ; 2014 ; Beijing, China



    Erscheinungsdatum :

    2014-05-05




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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