Tag: rock mechanics
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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 predictions that struggle with complex, nonlinear relationships in geological data. This article presents a novel prediction framework that integrates data-driven modeling with interpretability analyses to predict rock shear strength parameters…
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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 geological data. This article presents a data-driven framework that combines advanced machine learning with interpretability analysis to predict rock shear strength parameters more accurately and transparently. The framework addresses two…