Fusion of finite element and machine learning methods to predict rock shear strength parameters

D Zhu, B Yu, D Wang, Y Zhang - Journal of Geophysics and …, 2024 - academic.oup.com
The trial-and-error method for calibrating rock mechanics parameters has the disadvantages
of complexity, being time-consuming, and difficulty in ensuring accuracy. Harnessing the …

Machine learning techniques to predict rock strength parameters

A Mahmoodzadeh, M Mohammadi… - Rock Mechanics and …, 2022 - Springer
To accurately estimate the rock shear strength parameters of cohesion (C) and friction angle
(φ), triaxial tests must be carried out at different stress levels so that a failure envelope can …

[HTML][HTML] A comparative study on the development of hybrid SSA-RF and PSO-RF models for predicting the uniaxial compressive strength of rocks

M Wang, G Zhao, W Liang, N Wang - Case Studies in Construction …, 2023 - Elsevier
In the field of rock engineering, uniaxial compressive strength (UCS) is a crucial mechanical
parameter that cannot be ignored. Due to the difficulty in obtaining high-quality rock core …

Prediction of unconfined compressive strength of rocks: a review paper

E Momeni, R Nazir, DJ Armaghani… - Jurnal …, 2015 - journals.utm.my
Unconfined compressive strength (UCS) of rocks is a crucial parameter in designing
geotechnical structures. Owing to difficulties in obtaining proper samples for UCS test as …

Linear energy storage and dissipation laws of rocks under preset angle shear conditions

S Luo, F Gong - Rock Mechanics and Rock Engineering, 2020 - Springer
The processes of deformation and failure in rocks are unavoidably accompanied by the
absorption, storage, dissipation, and release of energy. To explore energy allocation during …

Evaluation of shear strength parameters of rocks by preset angle shear, direct shear and triaxial compression tests

F Gong, S Luo, G Lin, X Li - Rock Mechanics and Rock Engineering, 2020 - Springer
Estimation of shear strength parameters, which are generally known as the cohesion and
internal friction angle (c and φ) in the Mohr–Coulomb (M–C) strength criterion, plays an …

Model tree approach for predicting uniaxial compressive strength and Young's modulus of carbonate rocks

E Ghasemi, H Kalhori, R Bagherpour… - Bulletin of Engineering …, 2018 - Springer
The uniaxial compressive strength (UCS) and Young's modulus (E) of rock are important
parameters for evaluating the strength, deformation, and stability of rock engineering …

Prediction of uniaxial compressive strength of rock via genetic algorithm—selective ensemble learning

H Zhang, S Wu, Z Zhang - Natural Resources Research, 2022 - Springer
Reasonable and effective determination of uniaxial compressive strength (UCS) is critical for
rock mass engineering stability research, design, and construction. To estimate the UCS of …

Generic transformation models for some intact rock properties

J Ching, KH Li, KK Phoon… - Canadian Geotechnical …, 2018 - cdnsciencepub.com
A global intact rock database of nine parameters, including uniaxial compressive strength
and Young's modulus, is compiled from 184 studies. This database, labeled as …

Predicting angle of internal friction and cohesion of rocks based on machine learning algorithms

NM Shahani, B Ullah, KS Shah, FU Hassan, R Ali… - Mathematics, 2022 - mdpi.com
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 …