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    Predicting the Fatigue Life of Asphalt Concrete Using Neural Networks

    Source: Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 004::page 04026013-1
    Author:
    Houlík, Jakub
    ,
    Valentin, Jan
    ,
    Nežerka, Václav
    DOI: 10.1061/JMCEE7.MTENG-20929
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe durability of asphalt concrete (AC) is determined in large part by its fatigue life. Traditional methods for assessing fatigue life are resource-intensive and time-consuming, and previous artificial neural networks (ANN) applications have not ...
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      Predicting the Fatigue Life of Asphalt Concrete Using Neural Networks

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312419
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    contributor authorHoulík, Jakub
    contributor authorValentin, Jan
    contributor authorNežerka, Václav
    date accessioned2026-08-20T11:35:27Z
    date available2026-08-20T11:35:27Z
    date copyright2026/01/19
    date issued2026
    identifier otherJMCEE7.MTENG-20929.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312419
    description abstractAbstractThe durability of asphalt concrete (AC) is determined in large part by its fatigue life. Traditional methods for assessing fatigue life are resource-intensive and time-consuming, and previous artificial neural networks (ANN) applications have not ...
    publisherAmerican Society of Civil Engineers
    titlePredicting the Fatigue Life of Asphalt Concrete Using Neural Networks
    typeJournal Article
    journal volume38
    journal issue4
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/JMCEE7.MTENG-20929
    journal fristpage04026013-1
    journal lastpage04026013-12
    page12
    treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 004
    contenttypeFulltext
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