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    Suitable Tests and Machine Learning Approach to Predict Moisture Susceptibility of Hot-Mix Asphalt 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2019:;Volume ( 145 ):;issue: 003
    Author(s): Rajib B. Mallick; Nivedya Madankara Kottayi; Ram Kumar Veeraragavan; Eshan Dave; Christopher DeCarlo; Jo E. Sias
    Publisher: American Society of Civil Engineers
    Abstract: The objectives of this study were to determine a suitable set of tests to use with a moisture-conditioning process and to develop a machine learning model to predict the moisture susceptibility of hot mix asphalt. ...
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    Impact of Nonlinear Elastic Behavior of Foamed Asphalt Stabilized Mixes on Pavement Structural Performance 

    Source: Journal of Materials in Civil Engineering:;2021:;Volume ( 033 ):;issue: 010:;page 04021261-1
    Author(s): Andre Kazuo Kuchiishi; Kamilla Vasconcelos; Camila Christine dos Santos Antão; Gabriel de Souza; Lucas Rodrigues de Andrade; Eshan Dave; Liedi Legi Bariani Bernucci
    Publisher: ASCE
    Abstract: The mechanical behavior of cold recycled asphalt mixtures (CRAM) is influenced by its composition and limited studies have focused on exploration of nonlinear elastic behavior of CRAM. This study evaluates the effect of ...
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