Results 231 to 240 of about 351,753 (315)

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Dynamic simulation and intelligent control technology for cutting head load of coal mine roadheader. [PDF]

PLoS One
Feng J, Zhang Y, He Y, Tian M.
europepmc   +1 more source

The damage and failure mechanism of prestatically loaded rock during medium‐strain rate cyclic impact loading

Deep Underground Science and Engineering, EarlyView.
Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang, Hanpeng Wang, Zicheng Wang, Xinyuan Xie, Yunhao Wu, Jinhou Zhang, Dekang Sun   +6 more
wiley   +1 more source

Evaluation of geological hazards susceptibility along a key railway based on machine learning. [PDF]

Sci Rep
Liang J, Qi W, Xu C, Wang P, Sun J, Zhang X, Xue Z, Chen J, Cui Y, Pan J, Wang J, Sun Q.   +11 more
europepmc   +1 more source

Critical expansion points: Mechanical signs of surrounding rock instability

Deep Underground Science and Engineering, EarlyView.
This study proposes the Rock Bearing‐Expansion Model (RockBEM) with critical expansion points (CEPs) to quantify post‐peak damage stages in deep‐buried rock masses via plane strain compression test (PSCT). CEP hysteresis&interval ratios reveal bearing performance dynamics and failure severity, advancing mechanistic insights into deep underground rock ...
Jiaqi Wen, Chang Deng, Haijun Wang, Lei Tang, Jihong Yu   +4 more
wiley   +1 more source

Optimization of ecological and efficient restoration technology for green mines based on hesitant fuzzy TOPSIS. [PDF]

Sci Rep
Wang B, Guo D, Sun J, Guo J, Gao S, Lu W.   +5 more
europepmc   +1 more source

Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures

Deep Underground Science and Engineering, EarlyView.
This study investigates wave propagation in rock at the grain scale using a grain‐based model, revealing that mineral elastic modulus significantly influences wave attenuation while grain size and distribution have limited effects. A novel peak particle velocity attenuation prediction model is proposed and validated for grain‐scale wave propagation ...
Zhiyi Liao, Jiachen Xu, Kai Zhang, Changtai Zhou   +3 more
wiley   +1 more source

Study on rapid identification of soil slope boulders based on natural vibration frequency. [PDF]

Sci Rep
Jia Y, Liang Y, Song G, Wang H, Xie M, Hua S, Chen Z, Ma W, Niu T.   +8 more
europepmc   +1 more source

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

Leveraging remote sensing, geophysical methods and AHP model to determine optimal locations for green hydrogen production on Egypt's Mediterranean coast. [PDF]

Sci Rep
El Hateem YY, Diab AI, El-Sayed HM, El Maghraby MMS, Fahil AS.   +4 more
europepmc   +1 more source