Yu Xin

Refined analytical frameworks for enhancing friction angle prediction in fiber-reinforced soil through advanced computational methodologies

Traditional analytical and empirical techniques often fail to accurately forecast the friction angle of fiber-reinforced soil (FRS) due to the complex, non-linear dynamics of soil-fiber interactions. To address these limitations, this study employs machine learning (ML) to enhance predictive accuracy. Bagging Regressio...