Evidence map›Paper›PMID 40385226›Full record

ArticleACS omega2025

Experimental Investigation of Compaction Deformation and Seepage Mechanism of Granular Waste Rock Backfill Materials for Mitigating Mining-Induced Water Hazards.

Meng Li, Yang Zhao, Jixiong Zhang, Xiao Wang, Dan Ma, Shihao Xing, Linlin Xie

Abstract read
In one paragraph

Article in ACS omega, 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

7 authors.

Meng LiState Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China.
Yang ZhaoState Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China.ORCID https://orcid.org/0009-0005-8446-7197
Jixiong ZhangState Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China.
Xiao WangState Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China.
Dan MaState Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China.
Shihao XingState Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China.
Linlin XieState Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of mining-induced fracture zones in the backfilling working face near the aquifer significantly increases the seepage risk of granular waste rock backfill materials (GWRBMs), posing threats to groundwater resources and security problems. This study experimentally investigates the coupled effects of overburden stress and particle size distribution on the non-Darcy seepage characteristics of GWRBMs. A novel stepwise seepage pressure testing apparatus was designed to simulate axial loading stress (0∼15 MPa) and seepage pressure (1∼8 MPa), enabling the simultaneous monitoring of displacement, porosity evolution, and flow dynamics. Key findings reveal the following. Particle size distribution-dependent response: Under a fixed axial loading stress, the initial porosity of GWRBMs increases with particle size. Within the same range of seepage pressure variation, smaller-particle GWRBMs exhibit higher porosity variation rates but smaller flow rate changes. For instance, under increasing seepage pressures from 1 to 8 MPa, the 0-5 mm GWRBMs demonstrated a porosity variation rate of 4.58% and a flow rate change of 5.441 L/h, while the larger-particle counterparts displayed an inverse trend. Permeability-particle size distribution correlation: The permeability coefficient exhibits an increasing trend with particle size, while the attenuation of liquid flow inertial effects results in a reduction of the non-Darcy factor β. GWRBMs demonstrate hybrid particle size advantages, particularly when fine particle content exceeds critical thresholds, and the seepage characteristics of GWRBMs with different particle sizes are more similar to those of small particle sizes of GWRBMs. The distribution of particle sizes of GWRBMs has a significant impact on their own seepage characteristics. Overall, the findings of this study are of great significance for the protection of water resources and the prevention of water-related hazards in the solid filling working face near the aquifer.

Identifiers

PMID40385226
PMCPMC12079261

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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.