applsci-logo

Journal Browser

Journal Browser

Advanced Technologies in Intelligent and Sustainable Coal Mining

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

Deadline for manuscript submissions: 31 August 2026 | Viewed by 291

Special Issue Editors


E-Mail Website
Guest Editor
School of Mine, China University of Mining and Technology, Xuzhou 221116, China
Interests: theory and technology of intelligent mining; adaptive control of equipment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing 100083, China
Interests: intelligent mining; green mining; deep mining; precision mining; digital mine; mining equipment
Special Issues, Collections and Topics in MDPI journals
School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Interests: intelligent mining; green mining; deep mining; precision mining; digital mine; mining equipment

Special Issue Information

Dear Colleagues, 

Amidst the restructuring of global energy and the pursuit of "dual carbon" goals, the coal industry is undergoing unprecedented technological transformation. Traditional coal mining methods are confronted with numerous challenges, including low efficiency, multiple safety hazards, and significant environmental impacts, while the innovative development of advanced coal mining technologies provides crucial support for industrial transformation and upgrading. This Special Issue aims to systematically review the current state of cutting-edge international coal mining technologies, thoroughly explore the theoretical foundations and technical approaches for intelligent, green, and efficient mining, and provide both a platform for academic exchange and technical solutions for the sustainable development of the global coal industry.

This Special Issue calls for original research articles that advance our understanding of cutting-edge developments in advanced coal mining methods and technologies. Potential topics for submissions include, but are not limited to, the following:

(1) Intelligent mining systems and equipment;

(2) Green mining theories and technologies;

(3) Deep and complex geological condition mining technologies;

(4) Precision mining methods and equipment;

(5) Digital mine and intelligent decision systems.

Prof. Dr. Yong Yuan
Prof. Dr. Cun Zhang
Dr. Bo Li
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. 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

  • intelligent mining
  • green mining
  • deep mining
  • precision mining
  • digital mine
  • mining equipment

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 5228 KB  
Article
Optimized Green Cut-and-Fill Mining Method for Subsidence Control and Material Self-Sufficiency
by Lixin Wang, Qingheng Gu, Xinying Song, Naiqiang Zhao, Xuesheng Liu, Weiyao Guo and Changxiang Wang
Appl. Sci. 2025, 15(24), 12923; https://doi.org/10.3390/app152412923 - 8 Dec 2025
Viewed by 107
Abstract
In the face of the urgent need for sustainable practices in the coal industry, we propose a novel green cut-and-fill mining method aimed at achieving material self-sufficiency and mitigating overburden subsidence. This method leverages the goaf roof as an in situ filling material, [...] Read more.
In the face of the urgent need for sustainable practices in the coal industry, we propose a novel green cut-and-fill mining method aimed at achieving material self-sufficiency and mitigating overburden subsidence. This method leverages the goaf roof as an in situ filling material, integrating long-wall caving mining efficiency with partial filling techniques. Through laboratory analog material modeling, numerical simulations, and structural mechanics modeling, we compare the performance of cut-and-fill mining and traditional caving mining methods. The results show that the cut-and-fill method offers more uniform and controlled deformation behavior. Specifically, vertical and horizontal displacements along 40 m survey lines are significantly reduced, with a maximum reduction on the order of millimeters, compared to caving mining. Furthermore, the floor stress concentration coefficient is lower, and the total number of fractures decreases, with shear fractures reduced by 8.8% and tensile fractures reduced by 66.9%. The gangue column in the cut-and-fill method effectively supports the goaf roof, preventing fracture formation and extending the deformation time. The results demonstrate the effectiveness of the cut-and-fill method for subsidence control, suggesting its potential for achieving green and sustainable coal mining practices. Full article
(This article belongs to the Special Issue Advanced Technologies in Intelligent and Sustainable Coal Mining)
Show Figures

Figure 1

Back to TopTop