• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Optimizing Asphalt Compaction: Intelligent Compaction Roller Frequency and Machine Learning Prediction of In-Place Density

    Thumbnail
    View/Open
    JCCEE5.CPENG-7492.pdf (3.187Mb)
    Date
    2026
    Author
    Ahmad, Kamal Nasir
    Xianhua, Chen
    Lu, Qing
    Metadata
    Show full item record
    Abstract
    AbstractTraditional destructive methods for assessing asphalt pavement compaction, such as core sampling, are time-consuming, costly, and provided limited spatial coverage. Nondestructive approaches are essential for real-time quality control (QC) and ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4314523
    Collections
    • Journal of Computing in Civil Engineering

    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