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Investigation of the Relationship between the Mechanical Performance and Contact Structure Characteristics for Asphalt Concrete Using a Digital Image Processing Method and a Machine-Learning Algorithm

dc.contributor.authorYang, Haibo
dc.contributor.authorKong, Lin
dc.contributor.authorWu, Pengfei
dc.contributor.authorXu, Jiarui
dc.contributor.authorHuang, Yangquan
dc.contributor.authorRen, Dongya
dc.contributor.authorZhang, Allen A.
dc.contributor.authorAi, Changfa
dc.date.accessioned2026-08-20T11:34:24Z
dc.date.available2026-08-20T11:34:24Z
dc.date.copyright2025/11/24
dc.date.issued2026
dc.identifier.otherJMCEE7.MTENG-20800.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312392
dc.description.abstractAbstractThe internal structure of asphalt concrete (AC) plays a crucial role in determining its mechanical performance. However, current studies lack accurate assessments of AC’s mechanical performance based on its internal contact structure, and the ...
dc.publisherAmerican Society of Civil Engineers
dc.titleInvestigation of the Relationship between the Mechanical Performance and Contact Structure Characteristics for Asphalt Concrete Using a Digital Image Processing Method and a Machine-Learning Algorithm
dc.typeJournal Article
dc.journal.volume38
dc.journal.issue2
dc.journal.titleJournal of Materials in Civil Engineering
dc.identifier.doi10.1061/JMCEE7.MTENG-20800
dc.journal.fristpage04025556-1
dc.journal.lastpage04025556-11
dc.page11
dc.treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 002
dc.contenttypeFulltext


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