Machine learning for rock mechanics problems; an insight

H Yu, AD Taleghani, F Al Balushi… - Frontiers in Mechanical …, 2022 - frontiersin.org
Due to inherent heterogeneity of geomaterials, rock mechanics involved with extensive lab
experiments and empirical correlations that often lack enough accuracy needed for many …

Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength

M Hasanipanah, D Meng, B Keshtegar… - Neural Computing and …, 2021 - Springer
One of the most basic topics in rock mechanic is the shear strength criteria for rock joints.
Thus, it is of high importance to accurately predict the shear strength of rock joints. In this …

Underground coal seam gas displacement by injecting nitrogen: Field test and effect prediction

H Gong, K Wang, G Wang, X Yang, F Du - Fuel, 2021 - Elsevier
The existing ground well gas injection displacement engineering shows that the technology
of displacement by injecting gas is a coal gas stimulation technology with good application …

[HTML][HTML] Stability assessment of jointed rock capturing roughness degradation under cyclic loading with special reference to railway formation

M Jazebi, B Indraratna, RS Malisetty… - Transportation …, 2024 - Elsevier
Repeated train loading on a jointed rock subgrade can cause excessive displacements of
certain discontinuities leading to instability. Repeated shearing of discontinuities leads to a …

Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain

S Medawela, DJ Armaghani, B Indraratna… - Computers and …, 2023 - Elsevier
This paper presents a comprehensive study of various Random Forest (RF) models for
predicting increments of pH in groundwater treated by permeable reactive barriers (PRBs) …

High‐temperature creep‐fatigue‐oxidation behaviors of P92 steel: Evaluation of life prediction models

KK Wang, JF Wen, XX Xia, RZ Wang… - Fatigue & Fracture of …, 2023 - Wiley Online Library
Damages caused by the effects of cyclic loading (fatigue) and high temperature (creep and
oxidation) have been considered critical and need to be appropriately evaluated. A series of …

Predicting deformational properties of Indian coal: Soft computing and regression analysis approach

DG Roy, TN Singh - Measurement, 2020 - Elsevier
Deformational properties, such as, Young's modulus and Poisson's ratio are considered to
be among the most critical parameters of coal measure rocks for coal bed methane (CBM) …

Application of neural networks and fuzzy systems for the intelligent prediction of CO2-induced strength alteration of coal

K Sampath, MSA Perera, PG Ranjith, SK Matthai, X Tao… - Measurement, 2019 - Elsevier
CO 2 sequestration and enhanced coal bed methane (ECBM) extraction necessitate CO 2
injection into coal reservoirs that affect the coal strength properties and long-term integrity of …

Stacking ensemble machine learning-based shear strength model for rock discontinuity

H Fathipour-Azar - Geotechnical and Geological Engineering, 2022 - Springer
Accurate estimation of shear strength (SS) of rock discontinuities is crucial in rock
engineering applications such as slope stability. This study proposes a stacking ensemble …

Regression and soft computing models to estimate young's modulus of CO2 saturated coals

DG Roy, TN Singh - Measurement, 2018 - Elsevier
Young's modulus of coal is a very important deformational property which dictates how the
material will behave in presence of sub-and super-critical carbon dioxide during …