Slope Stability Analysis Using Rf, Gbm, Cart, Bt and Xgboost

• Published in: Geotechnical and geological engineering Vol. 39; no. 5; pp. 3741 - 3752
• Main Authors: Bharti, Jayanti Prabha, Mishra, Pratishtha, moorthy, Usha, Sathishkumar, V. E., Cho, Yongyun, Samui, Pijush
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.06.2021; Springer Nature B.V
• Subjects: Algorithms; Civil Engineering; Classification; Computer applications; Earth and Environmental Science; Earth Sciences; Failure analysis; Geotechnical Engineering & Applied Earth Sciences; Hydrogeology; Hydrostatic pressure; Internal friction; Mathematical models; Mining engineering; Original Paper; Pore pressure; Pore water; Pore water pressure; Pressure ratio; Regression analysis; Risk reduction; Scientific papers; Slope stability; Stability analysis; Statistical analysis; Statistical models; Terrestrial Pollution; Waste Management/Waste Technology; Water pressure; BT; Classification trees; GBM; Slope Stability Classification; RF; XGBoost; CART

Slopes in geotechnical and mining engineering are the most crucial geo-structure. Predicting or forecasting the stability or instability of the slope and then classifying the slope accordingly helps in mitigating the risks and enhancing the design by maximizing the safety. Computing techniques have...