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Applsci 13 05131 by cheima.bouraoui is a document available to read on EtoBox.

What is Applsci 13 05131 about?

This study investigates the bearing capacity of geogrid-reinforced sand over encased stone columns in soft soil using a white-box machine learning model called Multivariate Polynomial Regression (MPR). The model, developed from 245 experimental results, outperforms traditional black-box models like Random Forest and Linear Regression in terms of accuracy. The research also includes a parametric analysis to evaluate the significance of various input parameters on the bearing capacity predictions.

Author

cheima.bouraoui

Language

EN