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    Predicting Aggregate Gradation Based on Pavement Surface Image Features Using Random Forest and Multilayer Perceptron Integrated Model

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    JMCEE7.MTENG-21647.pdf (2.283Mb)
    Date
    2026
    Author
    Cao, Can
    Liu, Yancheng
    Jiao, Xiaolei
    Li, Yiming
    Xu, Yongli
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    Abstract
    AbstractAggregate gradation significantly impacts the road performance of asphalt pavement. However, current detection methods are often inefficient, destroying the pavement structure, and do not allow for quick real-time detection. The advancement of ...Practical ApplicationsIn the quality control of asphalt pavement construction, aggregate gradation detection represents a core mandatory inspection. However, traditional sieving tests are plagued by drawbacks such as lengthy cycles and the inability to ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4312564
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