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Mining Innovation—2nd Edition
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Faculty of Civil Engineering and Resource Management, AGH University of Krakow, Mickiewicza 30 Av., 30-059 Kraków, Poland
School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Prof. Dr. Derek B. Apel
Faculty of Engineering, Civil and Environmental Engineering Dept, University of Alberta, Edmonton, AB, Canada
Dr. Fhatuwani Sengani
Department of Geology and Mining, University of Limpopo, Private Bag X-1106, Sovega, South Africa
Departamento de Ingeniería Metalúrgica, Universidad de Concepción, Concepción 4070386, Chile
School of Civil Engineering, The University of Sydney, Sydney, NSW 2006, Australia
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Mining Innovation—2nd Edition

Abstract submission deadline
28 February 2027
Manuscript submission deadline
15 July 2027
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Topic Information

Dear Colleagues,

The contemporary exploitation of natural raw materials requires many interrelated exploration, access, preparatory and exploitation excavations. Presently, at each stage of mining, modern computer-aided design programs are used to quickly estimate the deposit exploitation factor and the safety of the performed excavations. Mining practices present natural hazards; therefore, more effective mining methods and intelligent construction materials for excavation supports and their monitoring are being sought. It is necessary to manage projects and stick to work schedules to complete excavations on time. The strength, deformation and structural parameters of the rock mass must be determined before performing mechanical driving and using explosives to ensure effective and quick excavation. To best reflect the mining conditions, model tests are often performed to understand the processes occurring in industrial conditions. Laboratory and numerical tests, case studies of mining methods, cooperation of support with the rock mass, and liquidation of the post-mining space make up the basis for the current and future states of mining areas. In this Topic, we intend to focus on state-of-the-art mining technology that has a particular impact in the field of mining. We hope that you will consider submitting your original manuscripts for peer review in this Topic.

Prof. Dr. Krzysztof Skrzypkowski
Prof. Dr. Jianhang Chen
Prof. Dr. Derek B. Apel
Dr. Fhatuwani Sengani
Dr. René Gómez
Dr. Faham Tahmasebinia
Topic Editors

Keywords

  • mining methods driving
  • equipment model
  • numerical modeling rock mass support
  • monitoring natural hazards management
  • scheduling of mining works

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci 		2.9 6.1 2011 15 Days CHF 2400 Submit
Geosciences
geosciences 		2.3 4.4 2011 22.7 Days CHF 1800 Submit
Minerals
minerals 		2.7 4.9 2011 17 Days CHF 2400 Submit
Mining
mining 		2.9 4.5 2021 22.5 Days CHF 1200 Submit
Processes
processes 		3.4 5.7 2013 14.7 Days CHF 2400 Submit
Sci
sci 		4.1 5.4 2019 28.2 Days CHF 1400 Submit

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Published Papers (2 papers)

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25 pages, 34437 KB  
Article
Lateritic Contribution to Enhancing the Grade of Iron Ore from Serra Leste Deposit in Carajás Mineral Province, Brazil
by Rayara do Socorro Souza da Silva, Marcondes Lima da Costa and Pabllo Henrique Costa dos Santos
Mining 2026, 6(2), 34; https://doi.org/10.3390/mining6020034 - 21 May 2026
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Abstract
The Carajás Province, located in the southeastern Amazon, hosts some of the world’s largest high-grade iron deposits. Despite their economic importance, the processes linking lateritic weathering and iron enrichment remain incompletely understood. This study investigates the role of lateritic weathering in the evolution [...] Read more.
The Carajás Province, located in the southeastern Amazon, hosts some of the world’s largest high-grade iron deposits. Despite their economic importance, the processes linking lateritic weathering and iron enrichment remain incompletely understood. This study investigates the role of lateritic weathering in the evolution of the Serra Leste iron deposit through the characterization of a weathering profile and its parent rocks using drill-core samples. Analytical methods included X-ray diffraction (XRD), optical microscopy, scanning electron microscopy coupled with energy-dispersive spectroscopy (SEM-EDS), whole-rock geochemistry, and Mössbauer spectroscopy. Jaspilites weathered into ferruginous saprolite while preserving relic banding and mineral textures. Magnetite alteration produced pseudomorphic hematite with dissolution cavities progressively infilled by goethite, indicating iron remobilization during weathering. Weathering of chloritites generated clayey saprolite enriched in kaolinite and iron oxyhydroxides, with gibbsite occurring in more advanced stages. The uppermost horizon consists of a ferroaluminous duricrust composed of massive, spherulitic, and brecciated iron oxyhydroxides associated with gibbsite. Up-profile geochemical trends are marked by decreasing SiO2 and increasing Fe2O3. The mineralogical, textural, and geochemical relationships indicate that the ferroaluminous duricrust was developed through contributions from both ferruginous and clayey saprolitic systems, particularly from the latter. These results support the interpretation that lateritic weathering played an important role in iron redistribution and supergene enrichment within the Serra Leste deposit, consistent with mature Amazonian lateritic systems. Full article
(This article belongs to the Topic Mining Innovation—2nd Edition)
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21 pages, 4531 KB  
Article
A Methodology to Model Caving Initiation Using DEM
by René Gómez, Manuel Moncada, Raúl Castro, Nicolás Mansilla and Patricio Toledo
Appl. Sci. 2026, 16(8), 3996; https://doi.org/10.3390/app16083996 - 20 Apr 2026
Viewed by 570
Abstract
The initiation of the caving process in block/panel caving is critical to the success of mines. However, there is no widely adopted methodology for modeling the onset of caving. This study proposes a methodology to model the initial stages of caving using the [...] Read more.
The initiation of the caving process in block/panel caving is critical to the success of mines. However, there is no widely adopted methodology for modeling the onset of caving. This study proposes a methodology to model the initial stages of caving using the Discrete Element Method, in which the rock mass is represented using the Bonded Particle Model, and the undercut material is modeled with non-cohesive discrete particles. The collapse of the rock mass was replicated following a parameter calibration process, and the results were compared with actual mining data of the observed initial fragmentation. Key parameters were identified, such as allowable normal and shear stresses, which are essential to accurately represent the collapse of the rock mass and the evolution of the early stage of rock fragmentation. Low allowable stress values led to premature collapse and finer fragmentation, whereas higher values delayed cave back failure and resulted in coarser initial fragmentation. The results showed the formation of large rock fragments between 14 and 15 m during the initial cave back failures. Subsequently, larger fragments ranging from 2 to 9 m were observed detaching from the cave back as draw progressed, with sizes comparable to those reported in some block/panel caving operations. The main contribution of this work is a methodology that demonstrates the feasibility of modeling caving initiation, which is crucial in a context where increasing rock mass strength and deposit depth require design changes at the production level and pose significant uncertainty in the rock mass response. Full article
(This article belongs to the Topic Mining Innovation—2nd Edition)
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