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    Asphalt Quality Evaluation and Intelligent Classification via ATR-FTIR Functional Group Analysis

    Source: Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 004::page 04026021-1
    Author:
    Yin, Yingmei
    ,
    Tang, Liangqi
    ,
    Chen, Gongfa
    ,
    Zhong, Dingwen
    DOI: 10.1061/JMCEE7.MTENG-21386
    Publisher: American Society of Civil Engineers
    Abstract: AbstractConventional asphalt testing methods inadequately and slowly represent the inherent chemical composition variations among materials. This study utilizes attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) to identify ...
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      Asphalt Quality Evaluation and Intelligent Classification via ATR-FTIR Functional Group Analysis

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312507
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    contributor authorYin, Yingmei
    contributor authorTang, Liangqi
    contributor authorChen, Gongfa
    contributor authorZhong, Dingwen
    date accessioned2026-08-20T11:39:52Z
    date available2026-08-20T11:39:52Z
    date copyright2026/01/22
    date issued2026
    identifier otherJMCEE7.MTENG-21386.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312507
    description abstractAbstractConventional asphalt testing methods inadequately and slowly represent the inherent chemical composition variations among materials. This study utilizes attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) to identify ...
    publisherAmerican Society of Civil Engineers
    titleAsphalt Quality Evaluation and Intelligent Classification via ATR-FTIR Functional Group Analysis
    typeJournal Article
    journal volume38
    journal issue4
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/JMCEE7.MTENG-21386
    journal fristpage04026021-1
    journal lastpage04026021-13
    page13
    treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 004
    contenttypeFulltext
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