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    Evaluation of Susceptibility of High-Temperature Performance of Asphalt Mixture to Morphological Feature of Aggregates by Fractal Theory

    Source: Journal of Materials in Civil Engineering:;2018:;Volume ( 030 ):;issue: 011
    Author:
    Li Song;Dong Qiao;Ni Fujian;Jiang Jiwang;Han Yajin
    DOI: 10.1061/(ASCE)MT.1943-5533.0002498
    Publisher: American Society of Civil Engineers
    Abstract: Morphological characteristics of aggregates have been regarded as a significant factor related to the high-temperature performance of asphalt mixtures. Fractal theory was used to calculate the fractal dimension to evaluate the morphological characteristics of aggregates. Dynamic creep test was selected to estimate the high-temperature performance of asphalt mixtures in terms of gradation types, nominal maximum aggregates sizes (NMAS), asphalt binders, and gyration levels. For each of these factors, correlation analysis between high-temperature indicators and fractal dimension was conducted. The results indicate that the flow number (FN) Index, that is, the ratio of maximum microstrain to flow number, is well-correlated with the fractal dimensions of asphalt mixtures in terms of gradation types and NMAS. Strain rate was a more comprehensive indicator linked with the morphologies of aggregates. According to fractal analysis, the specimen of AC-13 revealed optimal high-temperature resistance in terms of morphology. The AC-13 mixture with 75 gyrations had the largest value of fractal dimension and exhibited the best high-temperature performance. In addition, fractal dimensions measured by box-counting and sandbox methods were well-correlated with indicators of high-temperature ability; box-counting presented advantages for computing the fractal dimension of asphalt mixture.
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      Evaluation of Susceptibility of High-Temperature Performance of Asphalt Mixture to Morphological Feature of Aggregates by Fractal Theory

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    contributor authorLi Song;Dong Qiao;Ni Fujian;Jiang Jiwang;Han Yajin
    date accessioned2019-02-26T07:48:43Z
    date available2019-02-26T07:48:43Z
    date issued2018
    identifier other%28ASCE%29MT.1943-5533.0002498.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4249562
    description abstractMorphological characteristics of aggregates have been regarded as a significant factor related to the high-temperature performance of asphalt mixtures. Fractal theory was used to calculate the fractal dimension to evaluate the morphological characteristics of aggregates. Dynamic creep test was selected to estimate the high-temperature performance of asphalt mixtures in terms of gradation types, nominal maximum aggregates sizes (NMAS), asphalt binders, and gyration levels. For each of these factors, correlation analysis between high-temperature indicators and fractal dimension was conducted. The results indicate that the flow number (FN) Index, that is, the ratio of maximum microstrain to flow number, is well-correlated with the fractal dimensions of asphalt mixtures in terms of gradation types and NMAS. Strain rate was a more comprehensive indicator linked with the morphologies of aggregates. According to fractal analysis, the specimen of AC-13 revealed optimal high-temperature resistance in terms of morphology. The AC-13 mixture with 75 gyrations had the largest value of fractal dimension and exhibited the best high-temperature performance. In addition, fractal dimensions measured by box-counting and sandbox methods were well-correlated with indicators of high-temperature ability; box-counting presented advantages for computing the fractal dimension of asphalt mixture.
    publisherAmerican Society of Civil Engineers
    titleEvaluation of Susceptibility of High-Temperature Performance of Asphalt Mixture to Morphological Feature of Aggregates by Fractal Theory
    typeJournal Paper
    journal volume30
    journal issue11
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/(ASCE)MT.1943-5533.0002498
    page6018018
    treeJournal of Materials in Civil Engineering:;2018:;Volume ( 030 ):;issue: 011
    contenttypeFulltext
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