A review of liquid nitrogen fracturing technology

Z Huang, S Zhang, R Yang, X Wu, R Li, H Zhang… - Fuel, 2020 - Elsevier
Hydraulic fracturing is an efficient stimulation means for the exploitation of unconventional
oil/gas resources as well as geothermal energy. However, there are several issues for …

The Schmidt hammer in rock material characterization

A Aydin, A Basu - Engineering geology, 2005 - Elsevier
The Schmidt hammer provides a quick and inexpensive measure of surface hardness that is
widely used for estimating the mechanical properties of rock material. However, a number of …

Closed-form equation for estimating unconfined compressive strength of granite from three non-destructive tests using soft computing models

AD Skentou, A Bardhan, A Mamou, ME Lemonis… - Rock Mechanics and …, 2023 - Springer
The use of three artificial neural network (ANN)-based models for the prediction of
unconfined compressive strength (UCS) of granite using three non-destructive test …

[HTML][HTML] Effect of diagenetic variation on the static and dynamic mechanical behavior of coral reef limestone

L Ma, J Deng, M Wang, J Wang, B Fang… - International Journal of …, 2024 - Elsevier
Coral reef limestone at different depositional depths and facies differ remarkably on the
textural and mineralogical characteristics, owing to the complex sedimentary diagenesis. To …

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

E Momeni, DJ Armaghani, M Hajihassani, MFM Amin - Measurement, 2015 - Elsevier
Many attempts have been made to predict unconfined compressive strength (UCS) of rocks
using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from …

Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction

J Li, C Li, S Zhang - Applied Soft Computing, 2022 - Elsevier
The uniaxial compressive strength (UCS) is one of the most important parameters for
judging the mechanical behaviour of rock mass in rock engineering design and excavation …

Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

PG Asteris, A Mamou, M Hajihassani… - Transportation …, 2021 - Elsevier
This paper reports the results of soft computing-based models correlating L and N-type
Schmidt hammer rebound numbers of rock. A data-independent database was compiled …

Influence of grain size heterogeneity on strength and microcracking behavior of crystalline rocks

J Peng, LNY Wong, CI Teh - Journal of Geophysical Research …, 2017 - Wiley Online Library
This study numerically investigates the influence of material heterogeneity on the strength
and deformation behavior and the associated microcracking process of a felsic crystalline …

[HTML][HTML] Correlations between mineral composition and mechanical properties of granite using digital image processing and discrete element method

C He, B Mishra, Q Shi, Y Zhao, D Lin, X Wang - International Journal of …, 2023 - Elsevier
This study investigated the correlations between mechanical properties and mineralogy of
granite using the digital image processing (DIP) and discrete element method (DEM). The …

Artificial intelligence forecasting models of uniaxial compressive strength

A Mahmoodzadeh, M Mohammadi, HH Ibrahim… - Transportation …, 2021 - Elsevier
The uniaxial compressive strength (UCS) is a vital rock geomechanical parameter widely
used in rock engineering projects such as tunnels, dams, and rock slope stability. Since the …