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Fire
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Comprehensive Prevention of Underground Space Mine Fires and Gas Disasters,...
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Comprehensive Prevention of Underground Space Mine Fires and Gas Disasters, as Well as Prevention of Water Injection Seepage Disasters

A special issue of Fire (ISSN 2571-6255).

Deadline for manuscript submissions: 30 June 2026 | Viewed by 1406

Special Issue Editors

Dr. Yipeng Song

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Guest Editor
School of Management Science and Engineering, Shandong Technology and Business University, Yantai, China
Interests: longwall gob; spontaneous ignition; coal self-heating; numerical modeling; fire prevention and prediction
Dr. Hao Xu

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Guest Editor
1. College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
2. China Coal Technology Engineering Group, Chongqing Research Institute, Chongqing 400037, China
3. China Academy of Safety Science and Technology, Beijing 100012, China
Interests: coal; gas; coalbed methane; gas transport; desorption and diffusion; crack propagation; discrete element method; fluid-solid coupling
Special Issues, Collections and Topics in MDPI journals
Dr. Peng Liu

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Guest Editor
1. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China
2. College of Resources and Safety Engineering, Chongqing University, Chongqing 400030, China
Interests: theoretical and numerical analysis of coalbed methane migration and efficient production stimulation; hydraulic fracturing and physical field permeability enhancement technology and engineering application of unconventional reservoirs
Dr. Jia Liu

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Guest Editor
College of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Interests: mine gas and fire disaster prevention and control; gas transport mechanism; underground space safety
Special Issues, Collections and Topics in MDPI journals
Dr. Tianbai Zhou

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Guest Editor
Emergency Science Research Academy, Chinese Institute of Coal Science, Beijing 100013, China
Interests: mine; safety
Prof. Dr. Yueping Qin

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Guest Editor
School of Emergency Management and Safety Engineering, China University of Mining & Technology, Beijing, China
Interests: mine fire and gas disaster prevention and control; ventilation and air conditioning engineering; underground space safety; rock dynamic disaster prevention and control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Coal fires are a major disaster threatening the safety of mine production. The vast majority of their causes stem from the spontaneous combustion of coal, and such fires often occur in enclosed spaces such as goafs, coal pillars, and structural zones. In the research field of the occurrence and development laws of coal fires, existing achievements mainly focus on four aspects: first, research on the self-heating and oxidation characteristics of coal; second, numerical simulation calculations and similar simulation experiments carried out with commercial software; third, the exploration of early prediction and monitoring technologies for coal fires; fourth, the practical application of fire prevention and extinguishing technologies and related materials. In addition, as an important active prevention and control method, water injection seepage disaster prevention technology has become an important part of research due to its mechanism of action in inhibiting coal body temperature rise and blocking the formation of spontaneous combustion conditions. Although existing research has covered multiple dimensions, many key details still need to be further explored. For example, the evolution law of combustion characteristics of coal in high-temperature environments and the quantitative analysis of the fire-extinguishing efficiency of various composite materials all need to be further focused on in future research.

  1. Low-temperature oxidation characteristics of coal;
  2. Disaster mechanism of mine fires/spontaneous combustion;
  3. Theoretical modeling method and numerical simulation;
  4. Fire source location detection (gob, coal pillar, roadway, etc.);
  5. Development of fire extinguishing materials and equipments;
  6. Early warning and control technology for underground coal fires.
  1. Study on Evolution Law of Critical Parameters for Coal Spontaneous Combustion Under Multi-Field Coupling in Goafs
  2. Study on the Correlation Between Combustion Characteristics and Structural Deterioration of Coal Under High-Temperature Stress
  3. Construction of an Early Warning Model for Coal Fires in Confined Spaces Based on Multi-Source Sensing and Machine Learning
  4. Efficiency Quantification and Mechanism Analysis of Novel Composite Fire-Extinguishing Materials for Coal Fires in Confined Spaces
  5. Study on Coupling Law of Water Injection Seepage-Heat Transfer and Parameter Optimization in Complex Geological Structures

Dr. Yipeng Song
Dr. Hao Xu
Dr. Peng Liu
Dr. Jia Liu
Dr. Tianbai Zhou
Prof. Dr. Yueping Qin
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. Fire 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 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 spontaneous combustion
  • underground space
  • flame combustion
  • numerical modeling
  • fire prevention and control
  • thermodynamics
  • extinguishing materials
  • monitoring method

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Published Papers (2 papers)

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Research

26 pages, 5568 KB  
Article
Dynamic and Multidimensional Risk Assessment Methodology for Coal Mine Fire Prevention: An INK-FBSD Approach
by Shuwen Tan, Junwei Shi, Ziyan Zhang and Zhean Qian
Fire 2025, 8(12), 456; https://doi.org/10.3390/fire8120456 - 26 Nov 2025
Viewed by 453
Abstract
Current coal mine fire risk assessments often rely on static models and isolated factors, failing to capture the complex, dynamic interactions that lead to fires. To address this gap, we propose a comprehensive framework—termed INK-FBSD—integrating Interpretive Structural Modeling (ISM), the NK model, fuzzy [...] Read more.
Current coal mine fire risk assessments often rely on static models and isolated factors, failing to capture the complex, dynamic interactions that lead to fires. To address this gap, we propose a comprehensive framework—termed INK-FBSD—integrating Interpretive Structural Modeling (ISM), the NK model, fuzzy Bayesian network analysis, and System Dynamics (SD) simulation. Using ISM, we identified and hierarchically structured 31 risk factors across human, equipment, environment, management, and fire protection domains, revealing that a robust mine safety accountability system is a pivotal root factor. The NK model quantifies how accident likelihood escalates as more factors interact—for example, four-factor couplings (e.g., equipment–environment–management–fire protection) yield significantly higher risk indices (T ≈ 0.34) than two-factor scenarios. The fuzzy Bayesian analysis estimates an overall 46% probability of a fire accident under current conditions, and diagnostic inference pinpoints excessive coal dust accumulation and neglected fire prevention as top contributors when an incident occurs (posterior probabilities 83% and 78%, respectively). Finally, SD simulations show how key risk factors (such as equipment failure and maintenance delays) can rapidly elevate to severe risk levels within 9–15 months without intervention, underscoring the need for continuous monitoring and proactive control. In summary, the INK-FBSD approach provides a multidimensional understanding of coal mine fire mechanisms and delivers practical guidance for safety management by prioritizing critical risk factors, anticipating high-risk coupling pathways, and informing more effective fire prevention and emergency response strategies. Full article
(This article belongs to the Special Issue Comprehensive Prevention of Underground Space Mine Fires and Gas Disasters, as Well as Prevention of Water Injection Seepage Disasters)
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23 pages, 1976 KB  
Article
Experimental Study on Ratio Optimization and Nonlinear Response Characteristics of Grouting and Fire-Protecting Filling Material Coal Mining Area
by Zhangliang Chen, Junwei Shi, Ziyan Zhang and Lifeng Li
Fire 2025, 8(11), 430; https://doi.org/10.3390/fire8110430 - 31 Oct 2025
Viewed by 649
Abstract
In order to improve the fluidity, pumpability, and strength of separation-layer grouting fire-protecting filling material and reliability with multiple parameters and factors in traditional orthogonal tests, the coupling theory of the response surface-satisfaction function is applied to optimize the ratio of separation-layer grouting [...] Read more.
In order to improve the fluidity, pumpability, and strength of separation-layer grouting fire-protecting filling material and reliability with multiple parameters and factors in traditional orthogonal tests, the coupling theory of the response surface-satisfaction function is applied to optimize the ratio of separation-layer grouting fire-protecting filling material. Cement content, the ash–gangue ratio, slurry concentration, and admixture were selected as the influencing factors for the ratio optimization of separation-layer grouting fire-protecting filling material and slump, with the bleeding rate and compressive strength selected as the evaluation indexes of material properties. The Box–Behnken experimental design method was applied to conduct 25 groups of experiments with different material ratios, and the response surface functions of various material performance evaluation indexes were constructed. The relationship between the influencing factors of fire protecting and filling material ratios and the target responsiveness was studied, as well as the optimal ratio of separation-layer grouting fire-protecting filling materials under multi-objective conditions. The results show that the influence of the slurry concentration and cement content on the degree of collapse is significant. The cement content and slurry concentration had significant influence on the compressive strength. The ash–gangue ratio has a significant impact on bleeding rate. Meanwhile, the interaction of the ash–gangue ratio, slurry concentration, and cement content also has a significant impact on the bleeding rate. For waste rock cementation abscission-layer grouting fire protecting and filling material, the optimal ratio is an ash and gangue ratio of 1:2, the cement content is 12.12%, the admixture is 1.49%, and the slurry concentration is 52%. The ratio of the corresponding response under the condition of prediction result is a slurry slump of 28.5 cm, bleeding rate of 2.36%, and filling body strength of 4.62 MPa, which basically coincide with the experimental results and verification and provide evidence for the abscission layer grouting field industrial test. Full article
(This article belongs to the Special Issue Comprehensive Prevention of Underground Space Mine Fires and Gas Disasters, as Well as Prevention of Water Injection Seepage Disasters)
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