Predicting Angle of Internal Friction and Cohesion of Rocks Based on Machine Learning Algorithms

Predicting Angle of Internal Friction and Cohesion of Rocks Based on Machine Learning Algorithms

The safe and sustainable design of rock slopes, open-pit mines, tunnels, foundations, and underground excavations requires appropriate and reliable estimation of rock strength and deformation characteristics. Cohesion (𝑐) and angle of internal friction (𝜑) are the two key parameters widely used to c...

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Bibliographic Details
Main Authors: Niaz Muhammad Shahani, Barkat Ullah, Kausar Sultan Shah, Fawad Ul Hassan, Rashid Ali, Mohamed Abdelghany Elkotb, Mohamed E. Ghoneim, Elsayed M. Tag-Eldin
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
angle of internal friction
cohesion
geotechnical parameters
support vector machine
intelligent prediction
Online Access:https://www.mdpi.com/2227-7390/10/20/3875

Internet

https://www.mdpi.com/2227-7390/10/20/3875

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