Results 121 to 130 of about 877,348 (312)

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

Deep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang, Guoyao Xu, Liyuan Liu, Yao Zhang, Sitao Zhu, Hongyang Chu, Kaikai Zhao   +6 more
wiley   +1 more source

Robust Localization for Underground Mining Vehicles: An Application in a Room and Pillar Mine. [PDF]

Sensors (Basel), 2023
Inostroza F, Parra-Tsunekawa I, Ruiz-Del-Solar J.   +2 more
europepmc   +1 more source

Proceedings of the International Workshop on Rock Mass Classification in Underground Mining; Information circular (IC) 9498 [PDF]

"Rock mass classification is widely used throughout the underground mining industry - in both coal and hardrock mines. It is used in all stages of the mining process, from site characterization to production operations.

core   +1 more source

Mechanism of “seesaw‐type” rock burst in coal seam mining beneath mountainous areas

Deep Underground Science and Engineering, EarlyView.
This study reveals the mechanism of “seesaw‐type” rock bursts during coal mining beneath mountainous areas. The advancing working face induces nonuniform fracturing of the overburden. The detached mountain mass then undergoes a seesaw‐type rotational movement around a shifting pivot, driving the primary fracture through a characteristic “open‐close ...
Chao Zhou, Xueqiu He, Zhenlei Li, Ping Wang, Dazhao Song, Fuxing Jiang, Shan Yin, Anliang Lü, Menghan Wei, Taoping Zhong   +9 more
wiley   +1 more source

A New Internet of Things Hybrid VLC/RF System for m-Health in an Underground Mining Industry. [PDF]

Sensors (Basel), 2023
Iturralde D, Guaña-Moya J, Játiva PP, Sánchez I, Ijaz M, Dehghan Firoozabadi A, Zabala-Blanco D.   +6 more
europepmc   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

Deep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan, Zhimin Xu, Weixiao Chen, Chenghang Zhang, Shijie Xiong, Yajun Sun   +5 more
wiley   +1 more source

Retracted: Influence of Underground Mining Direction Based on Particle Flow on Deformation and Failure of Loess Gully Area. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Miner operating equipment underground

, 2022
Donor: Colorado Mining Association.Photographed by Myron Tanenbaum.A man in coveralls and hardhat operating a winch(?) underground; a list of signals is posted against the wall.Caption reads: "Lake Co 1951.
Tanenbaum, Myron
core  

Analysis of lining force transmission coefficient and surrounding rock displacement in lined rock caverns for underground gas storage

Deep Underground Science and Engineering, EarlyView.
This study derives an explicit expression for the lining force transmission coefficient of underground gas storage lined rock caverns (LRCs) via the complex variable function method, considering the displacement release coefficient. Taking the 1‰ tensile strain of surrounding rock as the criterion to determine lining thickness, it systematically ...
Yaohui Li, Jianping Yang, Weizhong Chen
wiley   +1 more source

Limestone Mining - Is It Noisy Or Not? [PDF]

National Institute for Occupational Safety and Health (NIOSH) researchers are conducting a cross-sectional survey of equipment noise and worker noise exposures in the mining industry.

core