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    Machine-Learning Algorithms for Estimating Rutting Potential and Cracking Tolerance Index of Bituminous Mixtures 

    Source: Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 001:;page 04025484-1
    Author(s): Shaikh, Sadiya; Gupta, Ankit; Raj, Vishu; Singh, Anshika
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe present study aims to estimate Marshall-designed bituminous mixtures’ rutting and cracking resistance using different machine learning algorithms. The BS EN 12597-24 (dynamic creep test) and ASTM D8225-19 ...
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    Investigating the Threshold Limits and Predictive Modeling Techniques for Indirect Tensile Strength of Marshall-Designed Mixtures 

    Source: Journal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 010:;page 04025342-1
    Author(s): Shaikh, Sadiya; Gupta, Ankit; Singh, Anshika; Raj, Vishu
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper presents a comprehensive study for establishing the threshold limit of the indirect tensile strength of conditioned (ITSdry) and unconditioned (ITSwet) Marshall-designed mixtures, focusing on selecting ...
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