Evidence map›Paper›PMID 41436544›Full record

ArticleScientific reports2025

Research on ground pressure control modes in a subsea mine by physical model test and numerical simulation analysis.

Weijun Liu, Zhixiang Liu, Jiadong Qiu, Tengfei Guo, Quanqi Zhu

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Weijun LiuSchool of Resources and Safety Engineering, Central South University, Changsha, 410083, China.
Zhixiang LiuSchool of Resources and Safety Engineering, Central South University, Changsha, 410083, China.
Jiadong QiuSchool of Resources, Environment and Safety Engineering, University of South China, Hengyang, 421001, China.
Tengfei GuoSchool of Resources, Environment and Safety Engineering, University of South China, Hengyang, 421001, China.
Quanqi ZhuSchool of Resources and Safety Engineering, Central South University, Changsha, 410083, China. quanqi_zhu@csu.edu.cn.

Funding

National Natural Science Foundation of China 52304113
6 · The paper itself

Abstract

To solve the problems of deep mining safety and ground pressure control in Sanshandao gold mine, a novel ground pressure control mode of deep mining in a subsea metal mine was studied by physical model test and numerical simulation analysis. First, the novel ground pressure control mode was studied by physical model test, the surface deformation characteristics of the physical model were observed by the DIC method, and the deformation and damage characteristics of the rock layer were obtained. Then, the numerical simulation analysis of the novel ground pressure control mode was carried out and verified with the results of the physical model test. Finally, the determined ground pressure control model was verified by engineering. The research results show that the physical model has an obvious disturbance to the surrounding area during the excavation process according to the analysis of the strain monitoring points, and the strain value at the monitoring point was maintained at approximately one ten-thousandth. Meanwhile, the stress change reflected by the strain was consistent with the numerical simulation results, confirming the authenticity of the physical model test results. Additionally, the field industrial test shows that the control mode has a good control effect on the high ground stress in the deep subsea metal mining.

Indexed as

Ground pressure controlNumerical simulation analysisPhysical model testSubsea metal mine

Identifiers

PMID41436544
PMCPMC12820139

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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.