Mathematical Modeling and Analysis in Mining Engineering

Dear Colleagues,

In the field of mining engineering, mathematics serves as a fundamental tool across various specialized domains, including (but not limited to) geological modeling and geostatistics, ventilation network analysis and solutions, mine production planning and scheduling, engineering geological model and stability analysis, and mining complex scene perception and modeling. Geological modeling and geostatistics leverage spatial interpolation methods like Kriging to estimate mineral deposit grades and variability, optimizing mine design and reducing uncertainty. Ventilation network analysis and solution employ graph theory and computational fluid dynamics to simulate airflow, ensuring worker safety and efficient contaminant dispersion. Mine production planning and scheduling utilize mathematical optimization techniques to schedule extraction activities, aligning with market demands and operational constraints. Engineering geological models incorporate stability analysis through numerical simulations and partial differential equations to assess rock mechanics and prevent failures. Mining complex scene perception and modeling integrate machine learning and computer vision algorithms to analyze sensor data, enhancing situational awareness and decision-making processes. These applications collectively demonstrate the critical role of mathematics in advancing the efficiency, safety, and sustainability of modern mining operations.

We seek papers that offer innovative approaches to geological modeling and geostatistics and that address the implementation of various interactions within mining systems. We also welcome research on topics such as ventilation network analysis and solutions, mine production planning and scheduling, engineering geological modeling and stability analysis, and mining complex scene perception and modeling. We are particularly interested in studies where the integration of mathematical and computational methods advances our understanding and solutions in these areas.

We look forward to receiving your contributions.

Dr. Lin Bi
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.