Comparative Analysis for Slope Stability by Using Machine Learning Methods

Article Environmental Sciences

Application of Machine Learning Techniques for the Estimation of the Safety Factor in Slope Stability Analysis

Yaser Ahangari Nanehkaran et al.

Summary: This study compares five different machine learning models to predict slope safety factors and finds that the multilayer perceptron (MLP) model has the highest accuracy and precision.

WATER (2022)

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Article Mining & Mineral Processing

Rock mass management to ensure safe deposit development based on comprehensive research within the framework of the geomechanical model development

Svetlana Sedina et al.

Summary: The purpose of this study is to create and study a three-dimensional geomechanical model to determine the parameters of open-pit walls and benches, ensure safe and economically feasible mining, and predict unstable zones within the open pit. A comprehensive methodological approach is used, including analyzing literature, previous studies, conducting engineering-geological surveys, laboratory testing, and numerical modeling. The results show the development of a geomechanical model for an iron-ore open pit in Kazakhstan, which combines all parameters affecting mining safety and considers structural disturbances of the rock mass. The practical implications include a visual representation of the rock mass state, simplified stability calculations, and facilitating the choice of optimal technical solutions for complex geological structures.

MINING OF MINERAL DEPOSITS (2022)

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Article Chemistry, Physical

A Deep Learning Method for the Prediction of the Index Mechanical Properties and Strength Parameters of Marlstone

Mohammad Azarafza et al.

Summary: This study presents a deep learning-based predictive model for obtaining the geomechanical characteristics of marlstone samples. The model, trained on a large dataset from geotechnical tests, achieves high accuracy and precision.

MATERIALS (2022)

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Article Multidisciplinary Sciences

A novel empirical classification method for weak rock slope stability analysis

Mohammad Azarafza et al.

Summary: This study presents a novel empirical classification system for stability analysis of rock slopes in weak rock based on their geotechnical and geological properties. Using field surveys, laboratory tests, and ground measurements, comprehensive graphical stability charts for weak rocks were developed. These charts assist in investigating the stability condition of rock slopes and estimating the geotechnical characteristics of weak rocks.

SCIENTIFIC REPORTS (2022)

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Article Engineering, Geological

Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale

M. Bordoni et al.

Summary: The developed combined method accurately predicts the spatial and temporal probability of rainfall-induced shallow landslides, with excellent performance during rainfall events. It is able to forecast both the probability of occurrence and the timing of shallow landslides, utilizing satellite-based rainfall products and field rain gauge data.

LANDSLIDES (2021)

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Review Geography, Physical

Discontinuous rock slope stability analysis by limit equilibrium approaches - a review

Mohammad Azarafza et al.

Summary: The paper reviews the use of limit equilibrium methods for analyzing the stability of discontinuous rock slopes, encompassing different failure mechanisms for both natural and cut slopes.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2021)

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Article Mining & Mineral Processing

Research on the coupling effect of the composite slope geometrical parameters

Yamah Joy Barvor et al.

Summary: This study analyzed the coupling effect between composite slope geometrical parameters and found that the factor of safety decreases when the slope angle and excavation depth are coupled with a load such as that of a waste dump. The position of the waste dump plays a key role in enhancing stability.

MINING OF MINERAL DEPOSITS (2021)

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Article Mining & Mineral Processing