Evidence map›Paper›PMID 42654710›Full record

ArticleMaterials (Basel, Switzerland)2026

Preparation and Performance Optimization of an Expansive Backfill Material for Active Roof Contact in End-Wall Mining.

Jinxing Lyu, Zhimeng Song, Bao Song, Yiquan Lin, Wen Ma

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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
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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

5 authors.

Jinxing LyuSchool of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China.
Zhimeng SongSchool of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China.
Bao SongSchool of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China.
Yiquan LinSchool of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China.
Wen MaSchool of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China.

Funding

Science and Technology Department of Xinjiang Uyghur Autonomous Region 2025B03001-1
6 · The paper itself

Abstract

Conventional cemented backfill used in narrow end-wall mining entries commonly suffers from shrinkage and insufficient roof contact, reducing its support effectiveness. In this study, a solid-waste-based expansive backfill was prepared from mine overburden, ordinary Portland cement, fly ash and hydrogen peroxide. Orthogonal tests were performed to evaluate the effects of fly ash dosage, aggregate-to-binder ratio and hydrogen peroxide dosage on slurry flowability, expansion ratio and compressive strength. The slurry exhibited a flowability of 17.9-24.7 cm and an expansion ratio of 11.23-46.52%, confirming the gas-generating expansion effect of hydrogen peroxide. The aggregate-to-binder ratio was the dominant factor influencing flowability, expansion and 28 d strength. Multi-index optimization identified an optimal mix of 40% fly ash, an aggregate-to-binder ratio of 4:1 and 10% hydrogen peroxide. The optimized backfill showed age-dependent increases in uniaxial compressive strength (UCS) and elastic modulus, with failure evolving from inclined shear to tensile and tensile-shear composite modes. Its shear behavior followed the Mohr-Coulomb criterion, with cohesion of 1.61 MPa and internal friction angle of 30.13°. SEM observations indicated that aggregate skeleton support, cementitious bonding and gas-generating expansion jointly controlled the material performance.

Indexed as

active roof contactexpansive backfill materialhydrogen peroxidemechanical propertiesmine overburden

Identifiers

PMID42654710
PMCPMC13514763

What OpenQuestion holds

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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.