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Advances in Rock Mechanics for Underground Resources and Energy Infrastructures

Special Issue Information

Dear Colleagues,

In recent decades, the design and construction of underground infrastructures such as tunnels, mine caverns, hydropower stations, and nuclear waste repositories have been developed from shallow depth to deeper depth, from populated areas to polar regions, and from the mainland to deep sea. Moreover, with the emergence of new demand for exploiting underground spaces for renewable energy storage and future habitats, more complicated underground environments will be encountered, which poses new challenges to the underground infrastructures.

New advanced technologies, including rock blasting techniques, lining support techniques, site monitoring techniques, and advanced modelling techniques, are highly required for safer and more efficient design, construction, and operation of underground infrastructures, which are susceptible to the influence of temperatures, dynamic disturbances, high in situ stresses, and complicated rock mass structures. The complex engineering environment often leads to the instability of underground infrastructures. Hence, it’s necessary to exploit advanced technologies for safe and efficient engineering practices.

This Special Issue, titled "Advances in Rock Mechanics for Underground Resources and Energy Infrastructures", aims to provide a platform for researchers to present their latest advances in this rapidly evolving field. This Special Issue will cover a wide range of topics, including, but not limited to, the following:

  • Rock mechanics and rock behavior in complicated in situ stresses;
  • Advanced geotechnical monitoring and control technologies;
  • Rock fracture mechanics and dynamic fracturing behavior in underground mining activities;
  • Advanced lining support techniques for resilient and stable underground structures;
  • Developed numerical simulation methodology for predicting rock behavior and engineering design;
  • Rock blasting technique for more efficient rock fracturing and fragmentation;
  • New techniques for developing underground energy storage infrastructures;
  • Theoretical method and development for understanding rock mechanics and structural response of underground infrastructures.

We look forward to your contributions!

Dr. Huachuan Wang
Dr. Huicong Xu
Dr. Yike Dang
Dr. Leiming Zhang
Guest Editors

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Infrastructures 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 1800 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
  • mining engineering
  • lining support technology
  • rock blasting technique
  • advanced monitoring technique
  • underground energy storage system
  • novel modelling technique
  • theoretical analysis
  • fracture mechanics
  • machine learning

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Infrastructures - ISSN 2412-3811