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Geotechnical engineering



  • Jan 23, 2026
    Geotechnical engineering /

    Prediction method for rock shear strength parameters based on data-driven and interpretability analysis

    Introduction Rock shear strength parameters are critical for assessing slope stability, excavation safety, and tunnel design. Traditional approaches often rely on empirical correlations or single-model…


  • Jan 23, 2026
    Geotechnical engineering /

    A Data-Driven Framework for Predicting Rock Shear Strength Parameters with Interpretability

    Introduction Predicting rock shear strength parameters is crucial for safe and cost-effective rock engineering projects. Traditional models often struggle with nonlinearities and complex interactions in…


  • Jan 19, 2026
    Geotechnical engineering /

    Data-Driven Optimization: Predicting Pressuremeter Modulus with Response Surface Methodology for Smarter Geotechnical Design

    Introduction: The Need for Data-Driven Geotechnical Design Geotechnical engineering increasingly relies on data-driven methods to reduce uncertainty and improve design efficiency. The pressuremeter test has…


  • Jan 19, 2026
    Geotechnical engineering /

    Data-driven Pressuremeter Modulus Prediction Using RSM for Smarter Geotechnical Design

    Introduction: Bridging Classic Theory and Modern Analytics Geotechnical design has long rested on foundational theories of elasticity and soil behavior. Classic texts like Timoshenko and…


  • Jan 19, 2026
    Geotechnical engineering /

    Data-driven optimization and pressuremeter modulus prediction using response surface methodology for smarter geotechnical design

    Introduction: The role of the pressuremeter in geotechnical design The pressuremeter test has long been a staple in geotechnical engineering for assessing soil modulus, stiffness,…


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