Evidence map›Paper›PMID 40210655›Full record

ArticleScientific reports2025

Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions.

Zhouquan Liao, Xiaohua Ding, Mingzhi Liang, Jiangfeng Li, Zhongao Yang, Xin Liu, Bin Li, Yan Zhang

Abstract read
In one paragraph

Article in Scientific reports, 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

8 authors.

Zhouquan LiaoSchool of Mines, China University of Mining and Technology, Xuzhou, 221116, China.
Xiaohua DingSchool of Mines, China University of Mining and Technology, Xuzhou, 221116, China. dxhemail@126.com.
Mingzhi LiangXinjiang Jiangna Mining Industry Co, Hami, 839300, China.
Jiangfeng LiArtificial Intelligence Research Institute, China University of Mining and Technology, Xuzhou, 221116, China.
Zhongao YangSchool of Mines, China University of Mining and Technology, Xuzhou, 221116, China.
Xin LiuSchool of Mines, China University of Mining and Technology, Xuzhou, 221116, China.
Bin LiSchool of Mines, China University of Mining and Technology, Xuzhou, 221116, China.
Yan ZhangSchool of Mines, China University of Mining and Technology, Xuzhou, 221116, China.

Funding

China University of Mining and Technology Graduate Student Innovation Program Project 2024WLKXJ035Jiangsu Provincial Graduate Student Research and Practice Innovation Program Project KYCX24_2868National Key Research and Development Program of China 2023YFC2907305National Natural Science Foundation of China 52174131
6 · The paper itself

Abstract

Open-pit coal mining often employs loosening blasting, with perforation blasting accounting for a significant portion of the coal seam mining costs. For coal of the same quality, the price of lump coal is much higher than that of crushed coal. Therefore, reducing the percentage of crushed coal in the blasting process is an important means to improve quality and efficiency in open-pit coal mining. How to develop a reasonable blasting scheme based on actual geological conditions has been a hot topic among scholars. In response to this issue, this study combines numerical simulation and field tests. Using the LS-DYNA software's fluid-solid coupling algorithm, the effects of charge structure, explosive type, intermediate medium, and hole spacing parameters on blasting results are analyzed. An optimized blasting scheme is determined, with specific parameters including a charge spacing of 7 m, hole spacing of 11 m, charge structure with a 5 m blocking length, 4 m upper charge length, 2 m intermediate coal powder spacing, and 5 m lower charge length, using low-density explosives. This optimized scheme is applied in field tests, and a comparison with the control group shows that the fines rate decreased from 30.10 to 24.17%, a reduction of 5.93%; the lump coal proportion increased from 59.33 to 68.41%, an increase of 9.08%; and the proportion of large coal lumps decreased from 10.57 to 7.42%, a decrease of 3.15%. The fines rate and large lump rate decreased in the experimental group compared to the control group, improving blasting efficiency and effectively reducing the downtime of the surface production system due to blockages. This study not only provides theoretical guidance for blasting in soft coal seams of open-pit coal mines but also offers scientific support for practical engineering applications, demonstrating significant engineering value and broad application prospects.

Indexed as

Fragmentation improvementLoosening blastingOpen-pit coal mineParameter optimizationQuality enhancement and efficiency increase

Identifiers

PMID40210655
PMCPMC11986155

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LicenceCC BY-NC-ND
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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.