Evidence map›Paper›PMID 38544011›Full record

ArticleSensors (Basel, Switzerland)2024

Simulation and On-Site Detection of the Failure Characteristics of Overlying Strata under the Mining Disturbance of Coal Seams with Thin Bedrock and Thick Alluvium.

Qunlei Zhang, Jianping Guo, Xiaowei Lu, Kunpeng Ding, Ruifu Yuan, Decai Wang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Qunlei ZhangSchool of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.ORCID 0000-0002-8219-4632
Jianping GuoSchool of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Xiaowei LuSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Kunpeng DingSchool of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Ruifu YuanSchool of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Decai WangSchool of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Henan Polytechnic University · CNNorth China University of Water Resources and Electric Power · CNChina University of Mining and Technology · CN

Funding

Key Research Project of institutions of Higher Education in Henan Province No. 24A580001National Natural Science Foundation of China No. 52174109Program for Innovative Research Team (in Science and Technology) in University of He-nan Province No.22IRTSTHN005
6 · The paper itself

Abstract

When mining deep coal seams with thin bedrock and thick alluvium, the collapse and fracture of thin bedrock layers may cause geological disasters, such as water inrush and sand inrush of the mining face. Comprehensively obtaining the response data of coal mining and reasonably analyzing the failure characteristics of overlying strata are helpful in guiding safe production. In this study, the caving zone heights of overlying strata are obtained by field detection during layered mining. Then, the caving zone heights during the once-full-height mining are evaluated by theoretical analysis. Further, the force and failure characteristics of coal-rock structures under different mining conditions are compared by the simulation detection and analysis. Finally, the results of on-site observation, theoretical analysis, and simulation detection are compared and discussed, and an optimized mining technology is proposed to ensure safe mining. The research shows the caving zone heights of on-site and simulation detections are, respectively, 14.65 m and 13.5 m during bottom-layer mining, which is larger than the caving zone heights of the top-layer coal mining. During once-full-height mining, the maximum caving zone height of simulation detection is 21 m, which is in between two standard results. For the mechanical responses of an aquiclude clay layer under thick loose alluvium, the maximum disturbance displacement of clay aquiclude is 5.8 m during layered mining, which is slightly larger than the disturbance displacement of once full-height mining; however, the maximum stress of the clay layer is 25 MPa during once-full-height mining, which is larger than the maximum stress of clay layer during layered mining. For the clay aquiclude failure, the clay layer during layered mining is in the deflection deformation area, and there is no obvious fracture structure to inrush the water and sand of thick loose alluvium; however, the clay layer during once-full-height mining is prone to produce obvious fracture structure. Therefore, the layered mining technology can effectively reduce and prevent the water/sand inrush disaster of mining working face.

Indexed as

clay aquicludeon-site detectionsimulationthick alluviumthin bedrock

Identifiers

PMID38544011
PMCPMC10974490
OpenAlexW4392595505

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.