Volume II: Mining Innovation

Edited by
October 2022
334 pages
  • ISBN978-3-0365-5535-5 (Hardback)
  • ISBN978-3-0365-5536-2 (PDF)

This book is a reprint of the Special Issue Volume II: Mining Innovation that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
Physical Sciences

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.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
strainburst; local mine stiffness; yielding rockbolt; numerical modeling; distinct element method; underground mining; underground mining; rock properties; cutting; conical picks; abrasive wear; coal; adsorption; water vapour; methanol vapour; saturated hydrocarbons; unsaturated hydrocarbons; coal mining; transport and assembly manipulator; stability; safety; work ergonomics; arch yielding support; fault; minimal section method; RS3; hard rock mine; sill pillar recovery; upper bench level; ground settlement; tangential stress criteria; burst potential index (BPI); simplification fitting; discharge capacity; window type; draining well; empirical formula; back-calculation in geomechanics; rock mechanics; numerical modeling; room and pillar mining system; non-linear regression; COVID-19; pandemic; mining company; epidemic emergency; prevention; good practices; adjacent working face; abandoned roadway; stress evolution; numerical simulation; field monitoring; rock mass stability; copper ore mining; numerical modeling; hydrogen; adsorption; storage; active carbon; reliability; fault diagnosis; predictive maintenance; machine learning; lifetime distributions; impact hammers; industrial robotics; autonomous mining; underground mining; underground mining; blasting; explosives; detonation velocity; artificial intelligence (AI); computational fluid dynamics (CFD); underground coal mines; methane prediction; real-time; time series prediction; modified long short-term memory; energy transformation; Green Deal; InnoEnergy; innovative education initiatives; European Institute of Innovation and Technology (EIT)