Rock Mechanics and Geochemistry in Mining Engineering

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Clays and Engineered Mineral Materials".

Deadline for manuscript submissions: closed (18 July 2023) | Viewed by 2420

Special Issue Editors

Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
Interests: water–rock interaction; rock weathering; rock mechanics
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Guest Editor
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
Interests: water–rock interaction; hydro–thermal–mechanic coupling
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Guest Editor
Department of Geochemistry, College of Geoscience, Chengdu University of Technology, Chengdu 610059, China
Interests: geochemistry, uranium geology

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Guest Editor
School of Rail Transportation, Soochow University, Suzhou 215131, China
Interests: municipal solid waste disposal; environmentally friendly construction materials; geotechnical engineering
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Special Issue Information

Dear Colleagues,

The geochemical and mechanical properties of rocks have a significant impact on mining engineering. Geochemical studies of mineral deposits can provide important insights into the evaluation of mineral reserves, as well as significant implications for mineral exploration, exploitation, and environmental remediation. Under the external effect of blasting excavation and water–rock interactions, host rocks are prone to cracking and failure, leading to mechanical degradation. Therefore, investigating and better understanding the mechanical and geochemical characteristics of rocks can be of key importance in the scientific design and safe operation of mining engineering, including conventional mining and in situ leaching mining. In situ leaching mining is suitable for some metals such as uranium and rare earth elements (REE) which occur in rather low concentrations, in which selective metals are dissolved in ore through the chemical reaction of leaching solution and minerals under natural burial conditions.

Potential topics include, but are not limited to, the following:

  • Mechanical strength and microstructure characteristics during mineral alteration;
  • Mechanical degradation and geochemical changes in water–rock interactions;
  • Numerical evaluation of rock mechanics under the coupled THMC effects;
  • Mechanical and geochemical processes in process mineralogy and genetic mineralogy;
  • Geodynamic and geochemistry for in situ leaching uranium and REE mining;
  • Geohazards induced by mining engineering;
  • Environmental issues during mining engineering.

Dr. Xin Liao
Dr. Yunhui Zhang
Dr. Hao Song
Prof. Dr. Qiang Tang
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Minerals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mechanical properties
  • water–rock interaction
  • numerical simulation
  • geochemical properties
  • engineering applications
  • uranium mineralization and artificial mining
  • in situ leaching uranium and REE mining

Published Papers (2 papers)

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Research

14 pages, 3840 KiB  
Article
Degradation Characteristics and Mechanism of Black Sandy Dolostone Subjected to Wetting–Drying Cycles
by Lei Zhu, Xinyu Luo, Zhibo Li, Haifeng Li, Xin Liao and Qiang Tang
Minerals 2023, 13(10), 1306; https://doi.org/10.3390/min13101306 - 09 Oct 2023
Viewed by 737
Abstract
The cyclic wetting–drying (W–D) effect as a typical form of weathering causes the engineering properties of rock degradation. Unlike previous research on soft sedimentary rocks, this study sought to investigate the influence of W–D cycles on the physical and mechanical properties of the [...] Read more.
The cyclic wetting–drying (W–D) effect as a typical form of weathering causes the engineering properties of rock degradation. Unlike previous research on soft sedimentary rocks, this study sought to investigate the influence of W–D cycles on the physical and mechanical properties of the black sandy dolostone. The results show that the surface hardness and uniaxial compressive strength decreased by 1.5% and 17.2%, respectively, after 12 W–D cycles. The behavior of water absorption of dolostone showed a logarithmic growth with W–D cycles. Analysis of the pH and electrical conductivity values of the soaking solution and microstructure of dolostone revealed that carbonate mineral and feldspar dissolution was the major reason to result in the increase in pore volume and micro-fissure. The oxidation of pyrite contained in the rock was deduced to accelerate the chemical reaction and rock degradation. The obtained results are expected to provide engineering values for rock mechanics studies when compared with in situ conditions. Full article
(This article belongs to the Special Issue Rock Mechanics and Geochemistry in Mining Engineering)
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17 pages, 2107 KiB  
Article
Using Machine Learning to Evaluate Coal Geochemical Data with Respect to Dynamic Failures
by David R. Hanson and Heather E. Lawson
Minerals 2023, 13(6), 808; https://doi.org/10.3390/min13060808 - 13 Jun 2023
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Abstract
Dynamic failure events have occurred in the underground coal mining industry since its inception. Recent NIOSH research has identified geochemical markers that correlate with in situ reportable dynamic event occurrence, although the causes behind this correlative relationship remain unclear. In this study, NIOSH [...] Read more.
Dynamic failure events have occurred in the underground coal mining industry since its inception. Recent NIOSH research has identified geochemical markers that correlate with in situ reportable dynamic event occurrence, although the causes behind this correlative relationship remain unclear. In this study, NIOSH researchers conducted machine learning analysis to examine whether a model could be constructed to assess the probability of dynamic failure occurrence based on geochemical and petrographic data. Linear regression, random forest, dimensionality reduction, and cluster analyses were applied to a catalog of dynamic failure and control data from the Pennsylvania Coal Sample Databank, cross-referenced with accident data from the Mine Safety and Health Administration (MSHA). Analyses determined that 7 of the 18 geochemical parameters that were examined had the biggest impact on model performance. Classifications based on logistic regression and random forest models attained precision values of 85.7% and 96.7%, respectively. Dimensionality reduction was used to explore patterns and groupings in the data and to search for relationships between compositional parameters. Cluster analyses were performed to determine if an algorithm could find clusters with given class memberships and to what extent misclassifications of dynamic failure status occurred. Cluster analysis using a hierarchal clustering algorithm after dimensionality reduction resulted in four clusters, with one relatively distinct dynamic failure cluster, and three clusters mostly consisting of control group members but with a small number of dynamic failure members. Full article
(This article belongs to the Special Issue Rock Mechanics and Geochemistry in Mining Engineering)
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