Evidence map›Paper›PMID 40389621›Full record

ArticleScientific reports2025

Research on the technology of unloading pressure and preventing punching in extra-thick coal seams.

Lixin Zhang, Zehui Deng, Gang Li, Guangchao Liu, Xu Lian

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lixin ZhangCollege of Mining, Liaoning Technical University, Fuxin, 123000, China.
Zehui DengCollege of Mining, Liaoning Technical University, Fuxin, 123000, China. dengzehui08@sina.com.
Gang LiCollege of Mining, Liaoning Technical University, Fuxin, 123000, China.
Guangchao LiuCollege of Mining, Liaoning Technical University, Fuxin, 123000, China.
Xu LianCollege of Mining, Liaoning Technical University, Fuxin, 123000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addresses stress concentration in roadways and elastic energy accumulation in the cantilever beam of hard roofs within the goaf of extra-thick coal seams. Using the 61,607 working face of Longwanggou Mine as a case study, the key roof layer was identified through theoretical calculations, and hydraulic fracturing parameters were optimized via zoning and grading. Stress changes, displacement, and fracture distribution in the downtrack and retreat areas were analyzed using 3DEC software before and after fracturing. Microseismic monitoring evaluated energy and frequency of microseismic events, while borehole imaging observed post-fracturing fracture distribution. Results show that hydraulic fracturing reduces peak compressive stress from 34.8 to 19.2 MPa, representing a 44.8% reduction, and tensile stress in the mined-out void from 12.7 to 5.8 MPa, marking a 54.3% reduction. The high-stress concentration zone shrank from 68 to 20 m, corresponding to a 70.6% reduction, improving stress redistribution and structural stability. Roof subsidence increased by a factor of 1.96 to 2.07, facilitating earlier and more uniform subsidence of the hard rock layer and reducing overhang risks. Microseismic events with energy levels of 9500 J or greater decreased by 79%, confirming effective stress relief. Borehole imaging verified that hydraulic fracturing induced new fractures and expanded existing ones in the hard roof, disrupting its integrity, reducing seismic risks, and improving mining safety.

Indexed as

Extra-thick coal seamsHydraulic fracturingImpact ground pressureMicroseismic monitoring

Identifiers

PMID40389621
PMCPMC12089502

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.