Evidence map›Paper›PMID 42452070›Full record

ArticlePolymers2026

Effects of Prepolymerization and Fly Ash on Exotherm and Flame Retardancy of Polyurethane Mine Grouting Materials.

Rui Feng, Yang Liu, Yuchao Zhang, Jing Zhang, Sitong Zhang, Wenwen Yu, Lan Jia, Qiang Zheng

Abstract read
In one paragraph

Article in Polymers, 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

8 authors.

Rui FengCollege of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Yang LiuCollege of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Yuchao ZhangCollege of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Jing ZhangCollege of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Sitong ZhangCollege of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Wenwen YuCollege of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Lan JiaCollege of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.ORCID 0000-0001-7005-5873
Qiang ZhengCollege of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

Funding

National Natural Science Foundation of China U22A20151
6 · The paper itself

Abstract

Conventional polyurethane (PU) grouting materials face a severe trade-off between curing exotherm safety, flame retardancy, and mechanical performance in deep coal mining. Herein, we propose a synergistic strategy combining chemical prepolymerization with fly ash (FA) incorporation to develop high-performance prepolymer-based polyurethane/fly ash (PUP/FA) composite grouting materials. Prepolymerization combined with FA addition successfully mitigated the maximum reaction temperature to 98.3 °C while sustaining a rapid curing rate within 3 min. At an optimal FA loading of 20 wt%, the PUP/FA-20% composite sustained a robust compressive strength of 42.5 MPa, satisfying underground reinforcement standards. Crucially, limiting oxygen index (LOI) and cone calorimetry tests demonstrated outstanding flame retardancy and smoke suppression; the LOI reached 28.5%, and the total smoke production plummeted to 21.3 m

Indexed as

exotherm controlflame retardancyfly ashgrouting materialpolyurethane compositeprepolymerization

Identifiers

PMID42452070
PMCPMC13364037

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.