Evidence map›Paper›PMID 41157547›Full record

ArticleSensors (Basel, Switzerland)2025

Experimental Study on Instability of Shotcrete Reinforced Slope Based on Embedded Anchor Sensor.

Hai Ning, Junkai Ou, Jihuan Jin

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

3 authors.

Hai NingDepartment of Civil Engineering, Yanbian University, 977 Park Road, Yanji 133002, China.
Junkai OuDepartment of Civil Engineering, Yanbian University, 977 Park Road, Yanji 133002, China.
Jihuan JinDepartment of Civil Engineering, Yanbian University, 977 Park Road, Yanji 133002, China.ORCID 0009-0005-1415-5737

Funding

Jilin Provincial Education Department of Science and Technology Research Project JJKH20240683KJJilin Provincial Natural Science Foundation YDZJ202501ZYTS437
6 · The paper itself

Abstract

Given the limitation of existing slope collapse monitoring technology, which relies on surface sensors, and the difficulty in capturing the precursors of deep rock and soil instability, this study used rock anchor embedded sensing technology to conduct collapse tests on artificial simulated slopes. Two groups of control conditions were designed: (1) shotcrete reinforced slope and natural slope; and (2) GFRP anchor and spiral steel anchor support system. The deformation characteristics of the slope at the initial stage of collapse were analyzed. The results show that the monitoring method based on the stress-strain response of deep rock mass significantly improved the early warning effect. GFRP anchor had a lower elastic modulus and responded more sensitively to small displacements than spiral steel anchor. Shotcrete reinforcement transformed slope deformation from 'local dispersed deformation' to 'overall coordinated deformation' and delayed slope instability via the 'deformation hysteresis effect'. This study provides key technical parameters for the intelligent monitoring system of high-risk slopes as well as support for pre-disaster emergency evacuation decision-making and the establishment of intelligent early warning systems.

Indexed as

early warningembedded sensingGFRPshotcrete reinforcementslope collapse

Identifiers

PMID41157547
PMCPMC12568075

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.