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    Volume 45, Issue 1 (January 2017)

    Special Issue Paper

    Predicting Dynamic Modulus of Asphalt Concrete From Binder Rheological Properties

    (Received 2 March 2016; accepted 29 August 2016)

    Published Online: 2017

    CODEN: JTEVAB

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    Abstract

    This study proposes a completely new regression-based predictive model to estimate dynamic modulus (|E*|) of asphalt concrete (AC) from the dynamic shear modulus (|Gb*|) and binder phase angle (δb) of the asphalt binder used in the AC mix. Other parameters related to the aggregate gradation and volumetrics are also incorporated in the model. In this study, a total of ten AC mixes with four binders having different Performance Grades (PG) and sources were collected from the manufacturing plants. The AC mixes were compacted and cored to cylindrical specimens. After that, the samples were tested in the laboratory for |E*| and AC phase angle (ϕ) at different temperatures and loading frequencies. The collected binders were tested for |Gb*| and δb using dynamic shear rheometer (DSR). The statistical assessment showed that a fairly accurate estimation of |E*| and ϕ can be obtained by using these new predictive models.


    Author Information:

    Asifur Rahman, A. S. M.
    Dept. of Civil Engineering, Univ. of New Mexico, Albuquerque, NM

    Mannan, U. A.
    Dept. of Civil Engineering, Univ. of New Mexico, Albuquerque, NM

    Tarefder, R. A.
    Dept. of Civil Engineering, Univ. of New Mexico, Albuquerque, NM


    Stock #: JTE20160119

    ISSN:0090-3973

    DOI: 10.1520/JTE20160119

    Author
    Title Predicting Dynamic Modulus of Asphalt Concrete From Binder Rheological Properties
    Symposium ,
    Committee D04