... and properties of both the geosynthetic and the soil. This paper introduces a machine learning approach, specifically a random forest algorithm, for predicting interface friction angles. The dataset comprises 495 interfaces involving geomembranes and sand, with 14 influencing parameters recorded for each...

... ratio of sand. The experimental results are compared to similar results reported in the literature for HDPE geomembrane-sand interfaces. Apparent values of interface friction angle, δ, and adhesion, c_a, are proposed in the paper for the tested sands and for specific ranges of normal...