Results 61 to 70 of about 2,581 (196)

An experimental study on the mechanical properties of underground mining backfill materials obtained from recycling of construction and demolition waste

Case Studies in Construction Materials, 2023
Environmental and safety factors have caused the mining industry to consider backfilling underground openings to prevent mine collapse in deeper and further extraction operations.
Faeze Sadat Khandani, Hadi Atapour, Mostafa Yousefi Rad, Behzad Khosh   +3 more
doaj   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

Deep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Uniaxial compressive strength of geopolymer cement for oil well cement

Journal of Petroleum Exploration and Production Technology, 2019
Ensuring oil-well-integrity is one of the challenging tasks when cementing is designed. It has been well established that cement tends to degrade when exposed to a corrosive environment and at elevated temperatures. This paper presents the results of the
Raja Rajeswary Suppiah, Siti Humairah A. Rahman, Nasir Shafiq, Sonny Irawan   +3 more
doaj   +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

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

Correlation between uniaxial compressive strength and point load strength index of granite sample [PDF]

, 2019
Uniaxial compressive strength (UCS) of rocks is an important parameter in geotechnical structure designs. Being difficult to obtain proper sample and the UCS test itself is expensive, indirect methods of estimating UCS were developed such as point load ...
Jasman, Nursyiqah
core  

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

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, EarlyView.
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

A correlation between P-wave velocity, impact strength index, slake durability index and uniaxial compressive strength

, 2008
Impact strength index, slake durability index and uniaxial compressive strength (UCS) are important properties of a rock mass which are used widely in geological and geotechnical engineering. In this study, the mechanical properties of one igneous, three
SINGH, TN, SHARMA, PK
core   +1 more source