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    Development of Dynamic Modulus from Creep Stiffness of Asphalt Mixtures: A Machine Learning–Based Approach

    Source: Journal of Cold Regions Engineering:;2026:;Volume ( 040 ):;issue: 003::page 04026033-1
    Author:
    Al Mamun, Abdullah
    ,
    Romero, Pedro
    ,
    Sreeram, Anand
    DOI: 10.1061/JCRGEI.CRENG-902
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Dynamic modulus (E*) obtained from the asphalt mixture pavement tester (AMPT) has played a vital role in conventional pavement design. However, the complexities of laboratory fabrication, field sampling of AMPT specimens, and difficulties in ...
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      Development of Dynamic Modulus from Creep Stiffness of Asphalt Mixtures: A Machine Learning–Based Approach

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311254
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    contributor authorAl Mamun, Abdullah
    contributor authorRomero, Pedro
    contributor authorSreeram, Anand
    date accessioned2026-08-20T10:47:11Z
    date available2026-08-20T10:47:11Z
    date copyright2026/05/22
    date issued2026
    identifier otherJCRGEI.CRENG-902.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311254
    description abstractAbstract Dynamic modulus (E*) obtained from the asphalt mixture pavement tester (AMPT) has played a vital role in conventional pavement design. However, the complexities of laboratory fabrication, field sampling of AMPT specimens, and difficulties in ...
    publisherAmerican Society of Civil Engineers
    titleDevelopment of Dynamic Modulus from Creep Stiffness of Asphalt Mixtures: A Machine Learning–Based Approach
    typeJournal Article
    journal volume40
    journal issue3
    journal titleJournal of Cold Regions Engineering
    identifier doi10.1061/JCRGEI.CRENG-902
    journal fristpage04026033-1
    journal lastpage04026033-11
    page11
    treeJournal of Cold Regions Engineering:;2026:;Volume ( 040 ):;issue: 003
    contenttypeFulltext
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