Evidence map›Paper›PMID 35602642›Full record

ArticleComputational intelligence and neuroscience2022

Influence of Underground Mining Direction Based on Particle Flow on Deformation and Failure of Loess Gully Area.

Yanjun Zhang, Jiayuan Kong, Yuanhao Zhu, Wenxin Zhu, Fushuai He, Lingfei Wang, Zoujun Li

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

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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

5 · Who and what money

Authors and funding

7 authors.

Yanjun ZhangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.ORCID https://orcid.org/0000-0002-5034-8924
Jiayuan KongSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Yuanhao ZhuCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.ORCID https://orcid.org/0000-0002-3743-0552
Wenxin ZhuSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China.ORCID https://orcid.org/0000-0001-9905-4735
Fushuai HePower China Zhongnan Engineering Corporation Limited, Changsha 410000, China.ORCID https://orcid.org/0000-0002-1949-8393
Lingfei WangStatistics Bureau of Xinzhou City, Xinzhou 034000, China.ORCID https://orcid.org/0000-0002-5675-8430
Zoujun LiChina Energy Engineering Group Shanxi Electric Power Engineering Co., Ltd., Taiyuan 030024, China.ORCID https://orcid.org/0000-0001-9387-5348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to unique landform and lithological features of the loess gully area, the geological disasters caused by coal mining have become more complex. Moreover, the advancing direction of the working face has an important influence on the deformation of the slope on both sides of the gully. In this paper, combined with the specific conditions of a coal mine working face in western China, we use the method of particle flow numerical simulation and theoretical analysis to examine and observe the deformation, as well as characteristics of failures in the loess gully area under different mining directions of the working face. The deformation process of the gully area can be obtained by combining the numerical simulation results. According to different mining directions of the working face, the failure mode of mining in the loess gully area was divided into the back slope and along slope advancing failure modes. Through empirical evaluation, our investigation demonstrates that the bottom of the gully was damaged seriously by both along slope mining and back slope mining. Albeit the influence of coal seam excavation on the slope surface was relatively small; however, it is greater on the flat ground of the upper slope. Under the same mining conditions, the advancing direction of the working face affected the horizontal movement of the loess gully area but had less effect on the subsidence. Furthermore, we observed that the failure mode of the mining slope is highly correlated with the mining direction and relative position of the working face. The results obtained from this research can provide useful information for deformation and failure prediction, working face mining method, and geological disaster assessment in the loess gully area.

Indexed as

Coal MiningChinaCoalComputer SimulationCoal

Identifiers

PMID35602642
PMCPMC9122680

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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.