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Sustainability in the Mechanism and Prevention of Coal-Rock Dynamic Disaster...
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Sustainability in the Mechanism and Prevention of Coal-Rock Dynamic Disaster and Rock Engineering

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: 31 May 2025 | Viewed by 4378

Special Issue Editors

Dr. Yubing Liu

E-Mail Website
Guest Editor
School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: rock mechanics; ECBM; safety engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Dongming Zhang

E-Mail Website
Guest Editor
1. School of Resources and Safety Engineering, Chongqing University, Chongqing 400030, China
2. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China
Interests: coal and gas co-extraction in deep underground coal mines; prevention of coal-rock dynamic disaster; low-permeability coal seam exploitation; carbon dioxide fracturing
Special Issues, Collections and Topics in MDPI journals
Dr. Shan Yin

E-Mail Website
Guest Editor
School of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China
Interests: geophysical response and monitoring of magnetic field; electromagnetic radiation; infrared radiation; acoustic emission of coal and rock dynamic disasters; research and development of experiment; theory and instrument for monitoring the electromagnetic effects of coal and rock failure
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There are numerous deep-underground projects worldwide, such as deep-underground coal mining, deep-buried tunnel construction, and deep-underground laboratories. The stress, fracture network, and fluid-solid coupling around the deep underground coal and rock structure become more complex with the increasing depth. Ensuring the safety, stability, and sustainability of deep underground engineering is becoming a new challenge to both researchers and engineers. There has been a major demand to prevent and control coal-rock dynamic disasters in deep underground engineering.

During the development of deep underground engineering, the safety, stability and sustainability of coal and rock mass is the main concern. The aim of this Special Issue is to attract more attentions and discussion on the sustainability of the mechanisms and prevention of coal-rock dynamic disaster and rock engineering.

This research topic aims to provide researchers with an opportunity to conduct a broader scientific and technological discussion on sustainability in mechanism and prevention of coal-rock dynamic disaster and rock engineering.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • coal and rock dynamic disaster;
  • sustainable coal and rock disaster prevention and control;
  • coal and rock instability mechanism;
  • coal and rock fluid-solid interaction;
  • coal and rock fluid flow characteristics;
  • sustainable experimental coal and rock testing;
  • disaster evolution process and mechanism;
  • risk identification and evaluation;
  • sustainable monitoring and early warning.

Original research and review articles are both welcome.

We look forward to receiving your contributions.

You may choose our Joint Special Issue in Sustainability.

Dr. Yubing Liu
Prof. Dr. Dongming Zhang
Dr. Shan Yin
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

  • coal and rock dynamic disaster
  • coal and rock disaster prevention and control
  • coal and rock instability mechanism
  • coal and rock fluid&ndash
  • solid interaction
  • coal and rock fluid flow characteristics
  • experimental coal and rock testing
  • disaster evolution process and mechanism
  • risk identification and evaluation
  • monitoring and early warning

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

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Research

27 pages, 8627 KiB  
Article
Mining-Induced Earthquake Risk Assessment and Control Strategy Based on Microseismic and Stress Monitoring: A Case Study of Chengyang Coal Mine
by Weichen Sun, Enyuan Wang, Jingye Li, Zhe Liu, Yunpeng Zhang and Jincheng Qiu
Appl. Sci. 2024, 14(24), 11951; https://doi.org/10.3390/app142411951 - 20 Dec 2024
Viewed by 398
Abstract
As large-scale depletion of shallow coal seams and increasing mining depths intensify, the frequency and intensity of mining-induced earthquake events have significantly risen. Due to the complex formation mechanisms of high-energy mining-induced earthquakes, precise identification and early warning cannot be achieved with a [...] Read more.
As large-scale depletion of shallow coal seams and increasing mining depths intensify, the frequency and intensity of mining-induced earthquake events have significantly risen. Due to the complex formation mechanisms of high-energy mining-induced earthquakes, precise identification and early warning cannot be achieved with a single monitoring method, posing severe challenges to coal mine safety. Therefore, this study conducts an in-depth risk analysis of two high-energy mining-induced earthquake events at the 3308 working face of Yangcheng Coal Mine, integrating microseismic monitoring, stress monitoring, and seismic source mechanism analysis. The results show that, by combining microseismic monitoring, seismic source mechanism inversion, and dynamic stress analysis, critical disaster-inducing factors such as fault activation, high-stress concentration zones, and remnant coal pillars were successfully identified, further revealing the roles these factors play in triggering mining-induced earthquakes. Through multi-dimensional data integration, especially the effective detection of the microseismic “silent period” as a key precursor signal before high-energy mining-induced earthquake events, a critical basis for early warning is provided. Additionally, by analyzing the spatiotemporal distribution patterns of different risk factors, high-risk areas within the mining region were identified and delineated, laying a foundation for formulating precise prevention and control strategies. The findings of this study are of significant importance for mining-induced earthquake risk management, providing effective assurance for safe production in coal mines and other mining environments with high seismic risks. The proposed analysis methods and control strategies also offer valuable insights for seismic risk management in other mining industries, ensuring safe operations and minimizing potential losses. Full article
(This article belongs to the Special Issue Sustainability in the Mechanism and Prevention of Coal-Rock Dynamic Disaster and Rock Engineering)
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13 pages, 5352 KiB  
Article
Numerical Investigation with Failure Characteristic Analysis and Support Effect Evaluation of Deep-Turning Roadways
by Man Wang, Feng Ding, Zehua Niu, Yanan Gao, Huice Jiao and Zhaofan Chen
Appl. Sci. 2024, 14(21), 10075; https://doi.org/10.3390/app142110075 - 4 Nov 2024
Viewed by 730
Abstract
In recent years, tunnel-boring machines (TBMs) have been widely applied in deep coal mining. Turning is an inevitable challenge in TBM tunneling, and a TBM turning roadway exhibits greater instability than a straight roadway, as engineering experience has indicated. This study aimed to [...] Read more.
In recent years, tunnel-boring machines (TBMs) have been widely applied in deep coal mining. Turning is an inevitable challenge in TBM tunneling, and a TBM turning roadway exhibits greater instability than a straight roadway, as engineering experience has indicated. This study aimed to explore the failure mechanism and evaluate the support performance of a deep-turning roadway. Several numerical models were established to investigate the deformation of the roadway, the stress distribution, and the failure zone of the surrounding rocks under different tunneling conditions. The results show that the tunneling depth influences the failure pattern of the turning roadway: deep tunneling with high in situ stress can cause asymmetric failure of the turning roadway, while shallow tunneling with low in situ stress does not. Moreover, the change in turning radius, namely the change in roadway geometry, does not influence the stability of the turning roadway. In addition, the support actions for both the straight and turning roadways do not differ significantly, and the amount of controlled deformation of the surrounding rocks is proportional to their natural deformation. Full article
(This article belongs to the Special Issue Sustainability in the Mechanism and Prevention of Coal-Rock Dynamic Disaster and Rock Engineering)
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25 pages, 21419 KiB  
Article
A Coal Mine Excavation Tunnels Modeling Method Based on Point Clouds
by Haoyuan Zhang, Shanjun Mao and Mei Li
Appl. Sci. 2024, 14(20), 9454; https://doi.org/10.3390/app14209454 - 16 Oct 2024
Cited by 2 | Viewed by 816
Abstract
The excavation tunnel model is an important reference for mine equipment control and tunnel deformation monitoring. Currently, tunnel models are mainly created manually, and point cloud reconstruction algorithms are difficult to directly apply to tunnel point clouds. To address these issues, this paper [...] Read more.
The excavation tunnel model is an important reference for mine equipment control and tunnel deformation monitoring. Currently, tunnel models are mainly created manually, and point cloud reconstruction algorithms are difficult to directly apply to tunnel point clouds. To address these issues, this paper proposes a point cloud-based excavation tunnel modeling method. First, preprocessing algorithms such as point cloud coordinate transformation, tunnel point cloud extraction, and tunnel point cloud completion are used to filter out equipment point clouds inside the tunnel and repair occluded holes. Then, the tunnel centerline is extracted, and consistency optimization is performed on the point cloud normal vectors. Finally, a tunnel model is established based on the Poisson modeling algorithm, enabling high-precision tunnel modeling. The proposed algorithm’s accuracy and effectiveness are demonstrated through experiments on four different coal mine tunnels. Full article
(This article belongs to the Special Issue Sustainability in the Mechanism and Prevention of Coal-Rock Dynamic Disaster and Rock Engineering)
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20 pages, 8784 KiB  
Article
Damage Status and Failure Precursors of Different Coal Impact Types Based on Comprehensive Monitoring of Infrared Radiation and Acoustic Emission
by Shan Yin, Zhonghui Li, Enyuan Wang, Yubing Liu, Yue Niu and Hengze Yang
Appl. Sci. 2024, 14(19), 8792; https://doi.org/10.3390/app14198792 - 29 Sep 2024
Cited by 1 | Viewed by 612
Abstract
Different coal failure impact types exhibit different damage statuses and failure modes, resulting in distinct signal characteristics of infrared radiation (IR) and acoustic emission (AE). This paper combines IR and AE monitoring methods to innovatively establish coal damage and failure precursor warning models [...] Read more.
Different coal failure impact types exhibit different damage statuses and failure modes, resulting in distinct signal characteristics of infrared radiation (IR) and acoustic emission (AE). This paper combines IR and AE monitoring methods to innovatively establish coal damage and failure precursor warning models and obtains the IR and AE precursor characteristics for different coal failure impact types. This research shows that there is a good correspondence between IR and AE timing and spatial distribution of different coal impact types. As the impact tendency increases, the intensity of IR and AE signals increases with coal failure, and the AE positioning points and IR high-temperature areas tend to concentrate. The coal body gradually changes from tensile failure to shear failure. The shear cracks in the failure stage of coal with no, weak, and strong impact are 39.9%, 50.9%, and 53.7%, respectively. The IR and AE instability precursor point of coal with no, weak, and strong impact occurred at 55.2%, 66.3%, and 93.4% of coal failure, respectively. After the IR and AE combined instability precursor point, the dissipated energy and combined damage variable increase rapidly, and the coal body will undergo instability and failure. The research results provide a theoretical basis for comprehensive monitoring of coal body failure and rock burst. Full article
(This article belongs to the Special Issue Sustainability in the Mechanism and Prevention of Coal-Rock Dynamic Disaster and Rock Engineering)
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11 pages, 5424 KiB  
Article
Threshold Determination for Effective Water Injection in Coal Seams: Insights from Numerical Simulation
by Lei Liu, Gun Huang and Yunfei Zhao
Appl. Sci. 2024, 14(19), 8613; https://doi.org/10.3390/app14198613 - 24 Sep 2024
Viewed by 666
Abstract
Coal seam water injection is the most basic and effective dust control technology used on the coal mining face. Numerical simulations are helpful for predicting the humidity range of coal seam water injection. The results can provide guidance for the field design of [...] Read more.
Coal seam water injection is the most basic and effective dust control technology used on the coal mining face. Numerical simulations are helpful for predicting the humidity range of coal seam water injection. The results can provide guidance for the field design of coal seam water injection process parameters. In order to understand the influence of coal seam water injection pressure and water injection time on the coal seam wetting effect, this paper uses the Fluent 17.0 software system to study the process parameters of the coal seam water injection seepage process under different conditions. It is found that in the process of coal seam water injection, with the increase in water injection pressure and the prolongation of water injection time, there is a specific threshold value for the change in coal seam permeability. Only when the water injection pressure and time increase to the threshold value will the permeability of the coal seam be significantly enhanced and the wetting effect improved. The pressure threshold of the mine is 15 MPa–20 MPa, and the time threshold is the first 42 h. Full article
(This article belongs to the Special Issue Sustainability in the Mechanism and Prevention of Coal-Rock Dynamic Disaster and Rock Engineering)
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