Investigation of Advanced Machine Learning Models for Accurate Slope Stability Prediction

Slope stability analysis is one of the cornerstones of geotechnical engineering. This is especially the case with regard to the assessment and design of earth structures like embankments, open-cut mines, and natural slopes. While current analytical and empirical solutions have been heavily relied upon, to date they have not had the potential to accurately describe complex nonlinear interactions among certain parameters influencing slopes. Slope stability analysis is a critical task in the field of geotechnical engineering. It provides a broad understanding of the situation prevailing in slopes. This is vital for utilizing corresponding methods of stabilization. The first task of this paper is to explore the effect of utilizing machine learning technology in analyzing the situation of slope stability.

کلیدواژه ها:

Machine Learning ، Slope Stability ، Models ، Geotechnical engineering