Evidence map›Paper›PMID 41611811›Full record

ArticleScientific reports2026

Using physical model test and numerical simulation for revealing the mechanism of stope collapse: a case study.

Ruichong Zhang, Chengyu Xie, Jiaozhong Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

Ruichong ZhangSchool of Resource Environment and Material Engineering, Guangxi University, Nanning, 530004, Guangxi, China.
Chengyu XieSchool of Environment and Resources, Xiangtan University, Xiangtan, 411105, Hunan, China. xiechengyu42@xtu.edu.cn.
Jiaozhong ChenSchool of Environment and Resources, Xiangtan University, Xiangtan, 411105, Hunan, China.

Funding

Excellent Youth Project of Hunan Provincial Department of Education No. 22B0164
6 · The paper itself

Abstract

After large-scale backfilling, understanding and controlling the collapse behavior of the roof and surrounding rock remain critical challenges in underground metal mining. Based on field investigations, an arch thickness formula for the collapsed pressure arch was derived. Laboratory-scale similarity experiments were conducted to study the collapse mechanisms following goaf failure, with particular focus on the dynamic impact characteristics and spatial influence range of roof and surrounding rock failure. The discrete element method was employed to analyze the dynamic failure process and stability evolution, leading to the design of an in-situ grouting reinforcement scheme. The results demonstrate that the newly developed grouting mold and method enhance both the efficiency and accuracy of similarity simulations. The failure patterns observed in the physical tests adequately represent the collapse characteristics of roof and surrounding rock under complex engineering conditions. The 3DEC simulation results show good agreement with the similar simulation experiments, both revealing a U-shaped collapse zone and similar displacement distribution characteristics, with the maximum displacement occurring at the roof. Under vertical load, the goaf collapsed instantly, showing prominent collapse impact characteristics; the slurry reinforcement method was consistent with the field application effect. It verifies the feasibility of the comprehensive method in studying roof and surrounding rock control methods after gob collapse in a large-scale backfill environment.

Indexed as

Mechanism of stope collapseNumerical simulationPhysical modelRock mechanicsSimulation calculation

Identifiers

PMID41611811
PMCPMC12913941

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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.