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    Application of Machine-Learning Algorithms for Predicting California Bearing Ratio of Soil 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2023:;Volume ( 149 ):;issue: 004:;page 04023024-1
    Author(s): Vaishnavi Bherde; Likhith Kudlur Mallikarjunappa; Ramu Baadiga; Umashankar Balunaini
    Publisher: ASCE
    Abstract: Subgrade strength is characterized by many indices such as the California bearing ratio, resilient modulus, and dynamic modulus. The California bearing ratio (CBR) of the subgrade soil is an important input parameter in ...
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    Modulus Improvement Factor-Based Design Coefficients for Geogrid- and Geocell-Reinforced Bases 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;issue: 003:;page 04022037
    Author(s): Sireesh Saride; Ramu Baadiga; Umashankar Balunaini; Madhav R. Madhira
    Publisher: ASCE
    Abstract: A series of large-scale model experiments were carried out on different geogrid- and geocell-reinforced base courses to evaluate realistic base-layer coefficients to design flexible pavements. The placement depth of ...
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