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dc.contributor.editorSkrzypkowski, Krzysztof
dc.date.accessioned2022-11-17T16:23:34Z
dc.date.available2022-11-17T16:23:34Z
dc.date.issued2022
dc.identifierONIX_20221117_9783036555362_30
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/93773
dc.description.abstractContemporary 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences::TTU Mining technology and engineeringen_US
dc.subject.otherstrainburst
dc.subject.otherlocal mine stiffness
dc.subject.otheryielding rockbolt
dc.subject.othernumerical modeling
dc.subject.otherdistinct element method
dc.subject.otherunderground mining
dc.subject.otherrock properties
dc.subject.othercutting
dc.subject.otherconical picks
dc.subject.otherabrasive wear
dc.subject.othercoal
dc.subject.otheradsorption
dc.subject.otherwater vapour
dc.subject.othermethanol vapour
dc.subject.othersaturated hydrocarbons
dc.subject.otherunsaturated hydrocarbons
dc.subject.othercoal mining
dc.subject.othertransport and assembly manipulator
dc.subject.otherstability
dc.subject.othersafety
dc.subject.otherwork ergonomics
dc.subject.otherarch yielding support
dc.subject.otherfault
dc.subject.otherminimal section method
dc.subject.otherRS3
dc.subject.otherhard rock mine
dc.subject.othersill pillar recovery
dc.subject.otherupper bench level
dc.subject.otherground settlement
dc.subject.othertangential stress criteria
dc.subject.otherburst potential index (BPI)
dc.subject.othersimplification fitting
dc.subject.otherdischarge capacity
dc.subject.otherwindow type
dc.subject.otherdraining well
dc.subject.otherempirical formula
dc.subject.otherback-calculation in geomechanics
dc.subject.otherrock mechanics
dc.subject.otherroom and pillar mining system
dc.subject.othernon-linear regression
dc.subject.otherCOVID-19
dc.subject.otherpandemic
dc.subject.othermining company
dc.subject.otherepidemic emergency
dc.subject.otherprevention
dc.subject.othergood practices
dc.subject.otheradjacent working face
dc.subject.otherabandoned roadway
dc.subject.otherstress evolution
dc.subject.othernumerical simulation
dc.subject.otherfield monitoring
dc.subject.otherrock mass stability
dc.subject.othercopper ore mining
dc.subject.otherhydrogen
dc.subject.otherstorage
dc.subject.otheractive carbon
dc.subject.otherreliability
dc.subject.otherfault diagnosis
dc.subject.otherpredictive maintenance
dc.subject.othermachine learning
dc.subject.otherlifetime distributions
dc.subject.otherimpact hammers
dc.subject.otherindustrial robotics
dc.subject.otherautonomous mining
dc.subject.otherblasting
dc.subject.otherexplosives
dc.subject.otherdetonation velocity
dc.subject.otherartificial intelligence (AI)
dc.subject.othercomputational fluid dynamics (CFD)
dc.subject.otherunderground coal mines
dc.subject.othermethane prediction
dc.subject.otherreal-time
dc.subject.othertime series prediction
dc.subject.othermodified long short-term memory
dc.subject.otherenergy transformation
dc.subject.otherGreen Deal
dc.subject.otherInnoEnergy
dc.subject.otherinnovative education initiatives
dc.subject.otherEuropean Institute of Innovation and Technology (EIT)
dc.titleVolume II: Mining Innovation
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-5536-2
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036555362
oapen.relation.isbn9783036555355
oapen.pages334
oapen.place.publicationBasel


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