Volume II: Mining Innovation

Contemporary exploitation of natural raw materials by borehole, opencast, underground, seabed, and anthropogenic deposits is closely related to, among others, geomechanics, automation, computer science, and numerical methods. More and more often, individual fields of science coexist and complement e...

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Bibliographic Details
Other Authors: Skrzypkowski, Krzysztof (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
RS3
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a Contemporary exploitation of natural raw materials by borehole, opencast, underground, seabed, and anthropogenic deposits is closely related to, among others, geomechanics, automation, computer science, and numerical methods. More and more often, individual fields of science coexist and complement each other, contributing to lowering exploitation costs, increasing production, and reduction of the time needed to prepare and exploit the deposit. The continuous development of national economies is related to the increasing demand for energy, metal, rock, and chemical resources. Very often, exploitation is carried out in complex geological and mining conditions, which are accompanied by natural hazards such as rock bursts, methane, coal dust explosion, spontaneous combustion, water, gas, and temperature. In order to conduct a safe and economically justified operation, modern construction materials are being used more and more often in mining to support excavations, both under static and dynamic loads. The individual production stages are supported by specialized computer programs for cutting the deposit as well as for modeling the behavior of the rock mass after excavation in it. Currently, the automation and monitoring of the mining works play a very important role, which will significantly contribute to the improvement of safety conditions. In this Special Issue of Energies, we focus on innovative laboratory, numerical, and industrial research that has a positive impact on the development of safety and exploitation in mining. 
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650 7 |a History of engineering & technology  |2 bicssc 
650 7 |a Mining technology & engineering  |2 bicssc 
653 |a strainburst 
653 |a local mine stiffness 
653 |a yielding rockbolt 
653 |a numerical modeling 
653 |a distinct element method 
653 |a underground mining 
653 |a rock properties 
653 |a cutting 
653 |a conical picks 
653 |a abrasive wear 
653 |a coal 
653 |a adsorption 
653 |a water vapour 
653 |a methanol vapour 
653 |a saturated hydrocarbons 
653 |a unsaturated hydrocarbons 
653 |a coal mining 
653 |a transport and assembly manipulator 
653 |a stability 
653 |a safety 
653 |a work ergonomics 
653 |a arch yielding support 
653 |a fault 
653 |a minimal section method 
653 |a RS3 
653 |a hard rock mine 
653 |a sill pillar recovery 
653 |a upper bench level 
653 |a ground settlement 
653 |a tangential stress criteria 
653 |a burst potential index (BPI) 
653 |a simplification fitting 
653 |a discharge capacity 
653 |a window type 
653 |a draining well 
653 |a empirical formula 
653 |a back-calculation in geomechanics 
653 |a rock mechanics 
653 |a room and pillar mining system 
653 |a non-linear regression 
653 |a COVID-19 
653 |a pandemic 
653 |a mining company 
653 |a epidemic emergency 
653 |a prevention 
653 |a good practices 
653 |a adjacent working face 
653 |a abandoned roadway 
653 |a stress evolution 
653 |a numerical simulation 
653 |a field monitoring 
653 |a rock mass stability 
653 |a copper ore mining 
653 |a hydrogen 
653 |a storage 
653 |a active carbon 
653 |a reliability 
653 |a fault diagnosis 
653 |a predictive maintenance 
653 |a machine learning 
653 |a lifetime distributions 
653 |a impact hammers 
653 |a industrial robotics 
653 |a autonomous mining 
653 |a blasting 
653 |a explosives 
653 |a detonation velocity 
653 |a artificial intelligence (AI) 
653 |a computational fluid dynamics (CFD) 
653 |a underground coal mines 
653 |a methane prediction 
653 |a real-time 
653 |a time series prediction 
653 |a modified long short-term memory 
653 |a energy transformation 
653 |a Green Deal 
653 |a InnoEnergy 
653 |a innovative education initiatives 
653 |a European Institute of Innovation and Technology (EIT) 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/93773  |7 0  |z DOAB: description of the publication