Evidence map›Paper›PMID 41471621›Full record

ArticleSensors (Basel, Switzerland)2025

Analysis of Wellbore Wall Deformation in Deep Vertical Wells Based on Fiber Bragg Grating Sensing Technology.

Wenchang Huang, Haibing Cai, Longfei Yang, Zixiang Li

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. 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

4 authors.

Wenchang HuangSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, China.
Haibing CaiSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, China.
Longfei YangSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, China.
Zixiang LiSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, China.

Funding

Anhui Province Housing and Urban Rural Construction Science and Technology Plan Project 2023-YF011Anhui University of Science and Technology 2024 Graduate Innovation Fund 2024cx2123
6 · The paper itself

Abstract

Accurate deformation monitoring is essential for ensuring the stability of deep vertical shafts. In this study, a temperature-compensated fiber Bragg grating (FBG) sensing system was deployed in the 882 m deep Guotun Coal Mine shaft to measure circumferential and vertical strains at six depths. A site-specific mechanical model integrating stratigraphy, dual-layer concrete lining, and the influence radius was developed to analyze shaft wall stresses. The monitoring results reveal pronounced spatial anisotropy, with circumferential compressive and tensile strains at deeper levels nearly twice those at shallow levels. Strain variation also increases over time, reflecting the combined effects of groundwater fluctuations and overburden consolidation. The stresses inferred from measured strains agree well with the analytical solution in both magnitude and depth-dependent trend, with deviations remaining within a reasonable engineering margin. All stresses are below the strength limits of the C70/C50 concrete lining, confirming that the shaft is in a safe stress state. The proposed monitoring-analysis framework provides a reliable basis for evaluating shaft wall behavior under complex hydrogeological conditions.

Indexed as

failure mechanism outer shaft liningfiber Bragg gratingshaft wall deformationvertical additional stress

Identifiers

PMID41471621
PMCPMC12736850

What OpenQuestion holds

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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.