Evidence map›Paper›PMID 40969034›Full record

ArticleSensors (Basel, Switzerland)2025

Safety Status Monitoring of Operational Rock Bolts in Mining Roadways Under Mining-Induced Effects.

Jianjun Dong, Wenduo Ding, Yu Qin, Ke Gao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

4 authors.

Jianjun DongCollege of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China.ORCID 0000-0002-4085-4073
Wenduo DingCollege of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China.
Yu QinCollege of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China.
Ke GaoCollege of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China.ORCID 0000-0002-7211-6403

Funding

National Natural Science Foundation of China No. 52474227Natural Science Foundation of Liaoning Province of China No. 2023-MS-313
6 · The paper itself

Abstract

This study focuses on the importance of the real-time monitoring of bolt loads in roadways affected by high-intensity mining and the limitations of conventional monitoring methods. Fiber Bragg grating (FBG) sensors were embedded and encapsulated in rock bolts, and tensile tests were conducted indoors to verify their feasibility. The research was conducted using the consolidated face of the Bultai Coal Mine in the Shendong Mining Area as the engineering background. Real-time monitoring wavelength data from the FBG bolt sensor were obtained through field tests. The analysis of the data aimed to assess the condition of the FBG sensor and variations in axial force within the service bolts of the mining roadway. Using these monitoring results, the real-time stability and safety of the roadway bolts were evaluated. The study indicates that as the working face advances, the axial force in the bolt progressively rises under the effect of mine pressure. The left gang bolt rod's shaft force changes significantly, while the right gang's change is relatively small. When the working face moves 60 m past the bolt rod, the axial force in the bolt rises sharply. Moreover, the axial force at different positions of the left and right gang bolts exhibits a distinct variation pattern. The real-time monitoring of bolt support in the return roadway provides essential data for assessing bolt safety.

Indexed as

mining-induced effectsmining roadwaysrock boltssafety state monitoring

Identifiers

PMID40969034
PMCPMC12158341

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.