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    Prediction of Compression Index Using Diverse Regression Models and Variable Combinations: Insight from a Large Geotechnical Information Database 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2026:;Volume ( 152 ):;issue: 007:;page 04026039-1
    Author(s): Yoo, Byeong-Soo; Han, Jin-Tae; Park, Hyun Il; Yang, Eomzi
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe compression index is a critical design parameter for estimating the consolidation behavior of clayey soils and planning construction schedules. However, its measurement typically requires more than a week for ...
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