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    Asphalt-Mixture Force Chains Length Distribution and Skeleton Composition Investigation Based on Computational Granular Mechanics

    Source: Journal of Materials in Civil Engineering:;2021:;Volume ( 033 ):;issue: 004::page 04021033-1
    Author:
    Guoqiang Liu
    ,
    Dongdong Han
    ,
    Cunzhen Zhu
    ,
    Fengfeng Wang
    ,
    Yongli Zhao
    DOI: 10.1061/(ASCE)MT.1943-5533.0003633
    Publisher: ASCE
    Abstract: In asphalt mixtures, external loading transfer paths can be deemed as force chains. The force chains difference can be used to evaluate skeleton structure. In this study, various asphalt mixture virtual specimens were established via discrete-element method (DEM) to investigate force chains length distribution and skeleton composition. Results indicate that, although dense-graded asphalt mixtures (AC) generate a large number of force chains compared with stone mastic asphalt (SMA) and open-graded asphalt friction course (OGFC), most of them are shorter length force chains that are not conductive to transfer external loading. When asphalt mixtures were penetrated to the same depth, asphalt mixtures with smaller nominal maximum aggregate size (NMAS) need more force chains to transfer external loading. In asphalt mixtures, the increase of NMAS can help to form longer length force chains. The passing percentage of 2.36 mm (P2.36) increase can lead to form more short length force chains. In asphalt mixtures, less than 50% quantity aggregates participate in skeleton composition. The aggregates within 2.36 mm participate in skeleton composition for AC16. Skeleton composition difference between AC and skeleton type asphalt mixtures is mainly affected by P2.36.
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      Asphalt-Mixture Force Chains Length Distribution and Skeleton Composition Investigation Based on Computational Granular Mechanics

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269938
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    contributor authorGuoqiang Liu
    contributor authorDongdong Han
    contributor authorCunzhen Zhu
    contributor authorFengfeng Wang
    contributor authorYongli Zhao
    date accessioned2022-01-31T23:33:30Z
    date available2022-01-31T23:33:30Z
    date issued4/1/2021
    identifier other%28ASCE%29MT.1943-5533.0003633.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269938
    description abstractIn asphalt mixtures, external loading transfer paths can be deemed as force chains. The force chains difference can be used to evaluate skeleton structure. In this study, various asphalt mixture virtual specimens were established via discrete-element method (DEM) to investigate force chains length distribution and skeleton composition. Results indicate that, although dense-graded asphalt mixtures (AC) generate a large number of force chains compared with stone mastic asphalt (SMA) and open-graded asphalt friction course (OGFC), most of them are shorter length force chains that are not conductive to transfer external loading. When asphalt mixtures were penetrated to the same depth, asphalt mixtures with smaller nominal maximum aggregate size (NMAS) need more force chains to transfer external loading. In asphalt mixtures, the increase of NMAS can help to form longer length force chains. The passing percentage of 2.36 mm (P2.36) increase can lead to form more short length force chains. In asphalt mixtures, less than 50% quantity aggregates participate in skeleton composition. The aggregates within 2.36 mm participate in skeleton composition for AC16. Skeleton composition difference between AC and skeleton type asphalt mixtures is mainly affected by P2.36.
    publisherASCE
    titleAsphalt-Mixture Force Chains Length Distribution and Skeleton Composition Investigation Based on Computational Granular Mechanics
    typeJournal Paper
    journal volume33
    journal issue4
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/(ASCE)MT.1943-5533.0003633
    journal fristpage04021033-1
    journal lastpage04021033-17
    page17
    treeJournal of Materials in Civil Engineering:;2021:;Volume ( 033 ):;issue: 004
    contenttypeFulltext
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