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Mathematics Applied in Rock Mechanics and Mining Science

This special issue belongs to the section “E: Applied Mathematics“.

Special Issue Information

Dear Colleagues,

The fields of rock mechanics and mining science aim to elucidate the complex, multi-scale, and often discontinuous behavior of geomaterials under a variety of loading and environmental conditions. The inherent uncertainties associated with rock mass properties, in situ stress fields, and the dynamic nature of excavation processes present significant challenges for traditional empirical and deterministic approaches. In recent decades, the application of advanced mathematical theories and computational methods has revolutionized our ability to model, analyze, and predict the behavior of rock masses, leading to enhanced safety, efficiency, and sustainability in geotechnical and mining engineering.

This Special Issue will showcase high-quality research and review articles that demonstrate the pivotal role of modern mathematics in addressing these complex challenges. We welcome contributions that employ sophisticated mathematical tools to develop novel models, innovative numerical simulations, and data-driven methodologies for a wide range of applications. Topics of interest include, but are not limited to, the development and solution of partial differential equations for coupled thermo-hydro-mechanical(THMC) processes; the use of statistical and probabilistic methods for rock mass characterization and risk assessment; the application of machine learning and artificial intelligence for the predictive modeling of rockburst, slope stability, and subsidence; advanced finite element, discrete element, and boundary element methods for simulating fracture propagation and rock fragmentation; network theory and topology optimization for mine planning and ventilation design; and inverse analysis and data assimilation techniques for calibrating models with field monitoring data. Other topics related to mathematical and computational methods in rock mechanics and mining science are also welcome.

By bringing together cutting-edge research from mathematicians, computational scientists, and mining engineers, this Special Issue will serve as a platform to highlight the transformative power of mathematics. It will foster interdisciplinary dialog and contribute to the development of next-generation tools that will be crucial in tackling the evolving demands of rock mechanics and mining science.

Dr. Peng Li
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. 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.

Keywords

  • rock mechanics
  • numerical modeling
  • discontinuous mechanics
  • machine learning in mining science
  • probabilistic risk assessment
  • coupled processes (THMC)
  • mine design and optimization
  • fracture propagation
  • inverse analysis
  • computational geometry and topology

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Mathematics - ISSN 2227-7390