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    Icing Prediction Model of Asphalt Pavement in Cold Regions Based on an Improved BP Neural Network

    Source: Journal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 010::page 04025362-1
    Author:
    Li, Yao
    ,
    Wang, Junxin
    ,
    Wang, Kai
    ,
    Liu, Han
    ,
    Yang, Enhui
    DOI: 10.1061/JMCEE7.MTENG-20512
    Publisher: American Society of Civil Engineers
    Abstract: AbstractTo better understand the factors influencing asphalt pavement icing and its impact trends, a research approach combining indoor experiments, field meteorological factor investigations, and statistical analysis was adopted. An indoor simulation ...
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      Icing Prediction Model of Asphalt Pavement in Cold Regions Based on an Improved BP Neural Network

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312317
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    contributor authorLi, Yao
    contributor authorWang, Junxin
    contributor authorWang, Kai
    contributor authorLiu, Han
    contributor authorYang, Enhui
    date accessioned2026-08-20T11:31:17Z
    date available2026-08-20T11:31:17Z
    date copyright2025/08/07
    date issued2025
    identifier otherJMCEE7.MTENG-20512.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312317
    description abstractAbstractTo better understand the factors influencing asphalt pavement icing and its impact trends, a research approach combining indoor experiments, field meteorological factor investigations, and statistical analysis was adopted. An indoor simulation ...
    publisherAmerican Society of Civil Engineers
    titleIcing Prediction Model of Asphalt Pavement in Cold Regions Based on an Improved BP Neural Network
    typeJournal Article
    journal volume37
    journal issue10
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/JMCEE7.MTENG-20512
    journal fristpage04025362-1
    journal lastpage04025362-14
    page14
    treeJournal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 010
    contenttypeFulltext
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