Results 51 to 60 of about 1,428 (157)

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

Evaluation of Drillability of the Mahu Conglomerate Formation in Xinjiang, China

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates the workflow for developing an optimized prediction model using measurement while drilling (MWD) data. A total of 90 MWD cases are divided into a training set (80%) and a test set (20%). Four logging‐while‐drilling parameters—compensation density, acoustic travel time, resistivity, and neutron porosity—are selected ...
Yun Xia, Wan Zhu, Rui Chen, Hui Zhang, Boyuan Yang, Kunhong Lv, Baokang Wu, Xinrui Wang, Hu Wu   +8 more
wiley   +1 more source

Study on Deterioration Characteristics of Uniaxial Compression Performance and Microstructure Changes of Red-Bed Mudstone during Gaseous Water Sorption

Buildings, 2022
Previously conducted studies have established that gaseous water sorption of mudstone is widespread in nature. The deterioration of its uniaxial compression properties during gaseous water sorption can cause engineering problems. However, related studies
Hongbing Zhu, Zhenghao Fu, Fei Yu, Sai Li   +3 more
doaj   +1 more source

Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques

Neural Computing and Applications
AbstractThis study proposes a novel system for accurately predicting grout’s uniaxial compressive strength (UCS) in fully grouted rock bolting systems. To achieve this, a database comprising 73 UCS values with varying water-to-grout (W/G) ratios ranging from 22 to 42%, curing times from 1 to 28 days, the admixture of fly ash contents ranging from 0 to ...
Shahab Hosseini, Shima Entezam, Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Hadi Nourizadeh, Amin Motallebiyan, Alireza Entezam, Kevin McDougall, Warna Karunasena, Naj Aziz   +9 more
openaire   +2 more sources

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 11, Page 4724-4738, 10 August 2026.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Effect of confining pressure on fracture characteristics and mineralogical behavior of tight sandstone specimens after hydraulic fracturing

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 482-505, June 2026.
Hydraulic fracturing in tight sandstone and fracture propagation characteristics using backscattered electron‐scanning electron microscope (BSE‐SEM) images. Abstract This study focuses on hydraulic fracturing experiments conducted under triaxial conditions on tight sandstone specimens from Shivpuri district, Madhya Pradesh, India.
Pankaj Rawat, Narendra Kumar Samadhiya
wiley   +1 more source

Mechanical properties of microcrystalline branching selenite gypsum samples and influence of constituting factors

Journal of Rock Mechanics and Geotechnical Engineering, 2019
The high sedimentological variability of gypsum rocks has the effect that a univocal characterization of this material is not easy to establish. This is particularly true from the geomechanical point of view: when the mechanical properties of gypsum ...
C. Caselle, S. Bonetto, C. Colombero, C. Comina   +3 more
doaj   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

The Uniaxial Compressive Strength of Soft Rock

Civil Engineering Dimension, 2007
Soft rock is a term that usually refers to a rock material with a uniaxial compressive strength (UCS) less than 20 MPa. This low strength range might be influenced by physical characteristics, such as size, saturation, weathering and mineral content.
D. S. Agustawijaya
doaj  

Failure characteristics and the energy criterion of rock with a through‐going joint under true‐triaxial unloading conditions: Insights from the DEM model

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 465-481, June 2026.
The rock failure mode is significantly influenced by the contributing factors, such as the joint inclination, the initial confining pressure, and the unloading point. We found six typical rock failure modes after a large number of numerical tests. Abstract Excavation unloading damages rock masses, with preferential failure along geological defects in ...
Fei Liu, Changhui Liang, Sijia Liu, Yongjun Zhang, Luo Wang   +4 more
wiley   +1 more source