Numerical Study on the Mechanical Behavior of Surrounding Rock in Deep Coal Seams under Fluidization Mining

Deep resource extraction holds significant economic, technological, and strategic importance, yet it is hindered by extreme challenges such as high in situ stress, complex rock mechanics, and heightened safety risks. Conventional mining techniques are proving to be increasingly inadequate under these conditions, thereby necessitating a paradigm shift toward fluidization mining. It is an innovative approach that eliminates the need for underground personnel and conventional roadways. In this study, the energy-transfer mechanisms and rock behavior under fluidization mining conditions were systematically examined through numerical simulations. Four mining schemes were comparatively analyzed: square inside-out, square outside-in, round inside-out, and traditional longwall mining. The simulation results reveal that fluidization mining significantly modifies the stress distribution, energy accumulation, and overlying stratum deformation relative to conventional mining approaches. Among the evaluated schemes, the round inside-out fluidization mining method demonstrated the most uniform stress distribution, lower energy concentration, and reduced rockburst risk, indicating superior performance in terms of both the safety and efficiency. These findings provide theoretical and technical insights supporting the implementation of fluidization mining in deep coal seams and provide a scientific basis for the prevention and control of dynamic disasters, particularly rockbursts.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-05-21
DOI
https://doi.org/10.1021/acsomega.6c01107
Primary Topic
Geomechanics and Mining Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Study on the Mechanical Behavior of Surrounding Rock in Deep Coal Seams under Fluidization Mining

GAO Kang, Ling Xiao, Mingyao Wei, Jianhong Kang
ACS Omega
Geomechanics and Mining Engineering
article

Numerical Study on the Mechanical Behavior of Surrounding Rock in Deep Coal Seams under Fluidization Mining

GAO Kang, Ling Xiao, Mingyao Wei, Jianhong Kang
article en

Abstract

Deep resource extraction holds significant economic, technological, and strategic importance, yet it is hindered by extreme challenges such as high in situ stress, complex rock mechanics, and heightened safety risks. Conventional mining techniques are proving to be increasingly inadequate under these conditions, thereby necessitating a paradigm shift toward fluidization mining. It is an innovative approach that eliminates the need for underground personnel and conventional roadways. In this study, the energy-transfer mechanisms and rock behavior under fluidization mining conditions were systematically examined through numerical simulations. Four mining schemes were comparatively analyzed: square inside-out, square outside-in, round inside-out, and traditional longwall mining. The simulation results reveal that fluidization mining significantly modifies the stress distribution, energy accumulation, and overlying stratum deformation relative to conventional mining approaches. Among the evaluated schemes, the round inside-out fluidization mining method demonstrated the most uniform stress distribution, lower energy concentration, and reduced rockburst risk, indicating superior performance in terms of both the safety and efficiency. These findings provide theoretical and technical insights supporting the implementation of fluidization mining in deep coal seams and provide a scientific basis for the prevention and control of dynamic disasters, particularly rockbursts.

ACS Omega
China University of Mining and Technology (CN), Minot State University (US)
National Natural Science Foundation of China, National Science and Technology Major Project
Life below water
Openalex Percentile: Top 9%
Geomechanics and Mining Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.