• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Transportation Engineering, Part B: Pavements
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Transportation Engineering, Part B: Pavements
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Multiscale Modeling of Asphaltic Pavements: Comparison with Field Performance and Parametric Analysis of Design Variables

    Thumbnail
    View/Open
    JPEODX.0000040.pdf (1.537Mb)
    Date
    2018
    Author
    You Taesun;Kim Yong-Rak;Rami Keyvan Zare;Little Dallas N.
    Metadata
    Show full item record
    Abstract
    This study presents a multiscale model that concurrently links mixture-level component properties to the structural performance of asphaltic pavements. Two scales (the global scale of the pavement and the local scale of mixtures) were two-way linked in the model framework based on a thermomechanical finite-element formulation. Global and local scales were systemically represented in the model by a homogeneous pavement structure and a heterogeneous asphalt concrete mixture, respectively. A four-layer pavement structure on I-8 in Nebraska was used as an example to demonstrate the modeling. A comparison of the rutting field measurements and model predictions shows relatively good agreement. Parametric analysis of the model was then conducted to investigate the effect of the component properties (viscoelastic stiffness and fracture) and mixture microstructures on two primary pavement distresses: rutting and fatigue cracking. Because mixture heterogeneity, elastic-viscoelastic deformation, and fracture damage in mixture microstructures (local scale) are considered in predicting pavement performance with damage (global scale), typical distress types in asphaltic pavements can be directly examined as a function of the core design-related variables, such as mixture component properties, mixture designs, pavement layer configurations, and traffic loading conditions. Furthermore, the model is expected to significantly reduce the experimental costs and time required to design pavement structures because it uses only the properties of mixture components, not the test results of entire mixtures. Although the modeling approach is in an early stage and requires further improvements before practical implementation, its simulation results show that it has great potential for advancing materials selection, mixture design, and mechanistic pavement analysis/design.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4250220
    Collections
    • Journal of Transportation Engineering, Part B: Pavements

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV