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Advances and Technologies in Rock Mechanics and Rock Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 380

Special Issue Editors

School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Interests: rock mass seepage; rock mechanics; efficient resource extraction; multi-scale numerical simulation methods; multi-field coupling; disaster prevention and control
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: mechanical behaviors of rocks; advanced monitoring technologies; modeling of rock engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of rock mechanics and rock engineering is undergoing rapid advancements, driven by the increasing demand for efficient resource extraction and infrastructure development. Meanwhile, the application of advanced technologies helps to overcome the limitations of traditional research methods, offering innovative solutions to major engineering challenges. By integrating high-precision experimental techniques, multi-scale numerical simulation methods, and data-driven intelligent analysis approaches, it is possible to more accurately reveal the mechanical behavior and evolutionary mechanisms of rocks under complex stress environments. This Special Issue aims to collect original research articles, comprehensive reviews, and case studies that address the challenges and opportunities in rock mechanics and rock engineering. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Mechanical behavior and modeling of rocks under multi-field coupling conditions;
  • Applications of artificial intelligence and machine learning in rock mechanics and rock engineering;
  • Applications of advanced monitoring technologies in rock mechanics and rock engineering;
  • Challenges and solutions in deep rock engineering.

Dr. Qiang Li
Dr. Quanqi Zhu
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 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. Applied Sciences 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 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 behaviors of rocks
  • multi-field coupling
  • advanced monitoring technologies
  • modeling of rock engineering
  • applications of machine learning
  • solutions in deep rock engineerings

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Published Papers (1 paper)

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Research

22 pages, 21904 KiB  
Article
Complex Network Modeling and Analysis of Microfracture Activity in Rock Mechanics
by Yushu Chen, Qihua Zhao, Jindong Xiang and Yi Peng
Appl. Sci. 2025, 15(10), 5242; https://doi.org/10.3390/app15105242 - 8 May 2025
Viewed by 250
Abstract
This study employs rock triaxial acoustic emission laboratory tests to investigate the activity of microfractures in plagiogranite from the Yebatan hydropower station dam area. By integrating interdisciplinary theories—including spatiotemporal single-link groups, fractal theory, complex networks, and graph theory—we develop a complex network model [...] Read more.
This study employs rock triaxial acoustic emission laboratory tests to investigate the activity of microfractures in plagiogranite from the Yebatan hydropower station dam area. By integrating interdisciplinary theories—including spatiotemporal single-link groups, fractal theory, complex networks, and graph theory—we develop a complex network model of rock microfractures. Results demonstrate that the microfracture network, characterized by the average degree (<k>) and clustering coefficient (<c>), undergoes distinct evolutionary stages during rock deformation and failure. The complex network parameters <k> and <c> undergo abrupt increases and decreases. These changes serve as characteristic indicators of the transition from stable to unstable states in rock deformation and failure, providing new insights into predicting rock failure and instability. Full article
(This article belongs to the Special Issue Advances and Technologies in Rock Mechanics and Rock Engineering)
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