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Mining
Special Issues
Mining Strata Control
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Mining Strata Control

A special issue of Mining (ISSN 2673-6489).

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 13468

Special Issue Editor

Dr. Ali Mirzaghorbanali

E-Mail Website
Guest Editor
School of Civil Engineering and Surveying, University of Southern Queensland, Toowoomba, QLD 4350, Australia
Interests: strata control; rock bolt load transfer mechanisms; cable bolt load transfer mechanisms; resin and grout mechanical properties; rock joints mechanical properties; advanced numerical simulations of rock structures
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

For mining engineering purposes, strata control is defined as maintaining stability around the mine openings where operations are, or will be, taking place. Thus, mining and geotechnical engineers should study and understand strata load transfer behavior, failure modes, support systems load transfer mechanisms and installation procedures, as well as strata stability monitoring techniques. Several research studies have been undertaken by various eminent researchers in this field around the world. Nevertheless, and as far as can be determined, there has been no Special Issue dedicated to “Mining Strata Control’’ in quality journals, which is the subject of this issue.

Mining is pleased to issue this call for quality papers for a mining strata control Special Issue. We cordially invite systematic literature reviews and authentic experimental and advanced numerical research studies on topics within the domain of strata control, including (directly or indirectly) related subject areas, which may include, but are not limited to, the following areas:

  • Axial and shear load behaviors of rock joints,
  • Resin and grout mechanical properties for strata reinforcement,
  • Rock bolts load transfer mechanisms including steel and fiberglass rock bolts,
  • Cable bolts load transfer mechanisms, and
  • Stability analysis of rock structures.

By covering the above listed topics, this special edition is going to primarily build and add to the mining strata control bodies of knowledge.

Dr. Ali Mirzaghorbanali
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Mining is an international peer-reviewed open access quarterly 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 1000 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

  • strata control
  • rock joints
  • rock bolt
  • cable bolt
  • resin and grout properties
  • rock structures numerical simulation

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Published Papers (3 papers)

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Research

13 pages, 1080 KiB  
Article
A Network Flow Model for Operational Planning in an Underground Gold Mine
by Suliman Emdini Gliwan and Kevin Crowe
Mining 2022, 2(4), 712-724; https://doi.org/10.3390/mining2040039 - 10 Nov 2022
Cited by 3 | Viewed by 2148
Abstract
The difficulty of effectively planning and assigning weekly activities has a significant influence on the long-term productivity of an underground mine. It is an especially difficult task to choose the best places for operations inside an underground gold mine. It cannot be resolved [...] Read more.
The difficulty of effectively planning and assigning weekly activities has a significant influence on the long-term productivity of an underground mine. It is an especially difficult task to choose the best places for operations inside an underground gold mine. It cannot be resolved by only selecting the levels with the highest grade of ore because the underground mine’s ore transport network has a range of capacity limitations that may prohibit the immediate mining of all the levels with the highest grade. To solve this scheduling difficulty, we formulated a new mixed-integer network flow model of the problem of weekly allocating mining operations in an underground gold mine such that the total gold mined (in ounces) was maximized subject to the transportation capacity constraints. The model was applied to an underground gold mine in Red Lake, Ontario, Canada. The results were compared to those of two greedy heuristic models that were designed to represent the decision-making heuristics that are currently used at the mine. It was found that the new model yielded solutions that improved upon the two greedy heuristics by 14.7% and 6.0%, respectively. The results of this research illustrate that the development of this optimization model can support decisions to improve a gold mine’s productivity. Full article
(This article belongs to the Special Issue Mining Strata Control)
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19 pages, 53334 KiB  
Article
Practical Use of Measuring the Deflection of Roof Layers in the Assessment of the Stability of Mining Excavations in the Polish Copper Ore Mine “Polkowice-Sieroszowice”
by Lech Stolecki and Krzysztof Szczerbiński
Mining 2022, 2(1), 13-31; https://doi.org/10.3390/mining2010002 - 21 Dec 2021
Cited by 3 | Viewed by 2967
Abstract
The paper presents the results of long-term continuous measurements of the deflection of the roof layers in the underground copper mine Polkowice-Sieroszowice, Poland belonging to KGHM Polska Miedź S.A. The measurements were performed with the use of the inclinometric method consisting of continuous [...] Read more.
The paper presents the results of long-term continuous measurements of the deflection of the roof layers in the underground copper mine Polkowice-Sieroszowice, Poland belonging to KGHM Polska Miedź S.A. The measurements were performed with the use of the inclinometric method consisting of continuous registration of changes in the angle of inclination of the roof strata. The measurements were carried out using an inclinometer sensor fixed to the end of a rockbolt in the roof. Measurements presented in the article were made in various regions of the underground mine. The monitoring covered: The exploitation front, machinery chamber and the region of the experimental longwall mining of copper ore. The obtained results proved the usefulness of the developed method in the process of the evaluation of the stability of mining excavations. The sensors were highly sensitive and performed the measurements in a simple way; highly accurate and reliable results were obtained. Full article
(This article belongs to the Special Issue Mining Strata Control)
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18 pages, 7843 KiB  
Article
Prediction of Mining Conditions in Geotechnically Complex Sites
by Marc Elmouttie, Jane Hodgkinson and Peter Dean
Mining 2021, 1(3), 279-296; https://doi.org/10.3390/mining1030018 - 9 Nov 2021
Cited by 5 | Viewed by 2921
Abstract
Geotechnical complexity in mining often leads to geotechnical uncertainty which impacts both safety and productivity. However, as mining progresses, particularly for strip mining operations, a body of knowledge is acquired which reduces this uncertainty and can potentially be used by mining engineers to [...] Read more.
Geotechnical complexity in mining often leads to geotechnical uncertainty which impacts both safety and productivity. However, as mining progresses, particularly for strip mining operations, a body of knowledge is acquired which reduces this uncertainty and can potentially be used by mining engineers to improve the prediction of future mining conditions. In this paper, we describe a new method to support this approach based on modelling and neural networks. A high-level causal model of the mining operations based on historical data for a number of parameters was constructed which accounted for parameter interactions, including hydrogeological conditions, weather, and prior operations. An artificial neural network was then trained on this historical data, including production data. The network can then be used to predict future production based on presently observed mining conditions as mining proceeds and compared with the model predictions. Agreement with the predictions indicates confidence that the neural network predictions are properly supported by the newly available data. The efficacy of this approach is demonstrated using semi-synthetic data based on an actual mine. Full article
(This article belongs to the Special Issue Mining Strata Control)
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