Evidence map›Paper›PMID 40082550›Full record

ArticleScientific reports2025

Effect of basalt fiber content on mechanical properties of hydrophobic mortar.

Yunfeng Li, Qing Wang, Xu Zheng, Rui Zhang, Ning Wang

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

5 authors.

Yunfeng LiCollege of Civil and Architectural Engineering, Taishan University, Shandong, 271000, China.
Qing WangCollege of Civil and Architectural Engineering, Taishan University, Shandong, 271000, China. qwang@sdust.edu.cn.
Xu ZhengCollege of Civil and Architectural Engineering, Taishan University, Shandong, 271000, China.
Rui ZhangCollege of Civil and Architectural Engineering, Taishan University, Shandong, 271000, China.
Ning WangCollege of Civil Engineering and Architecture, Shandong University of Science and Technology, Shandong, 266590, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The addition of a hydrophobic agent to fiber concrete can realize the overall hydrophobic of the material, which can prevent damage to cementing material due to its porous and hydrophilic properties. However, the impact of varying fiber content on the mechanical properties of these materials remains unclear, limiting their large-scale application in extreme environments. Mechanical experiments were conducted to obtain the material's elastic modulus, compressive strength, and Poisson's ratio, aiming to explore the reinforcing effect and mechanism of fibers on mechanical properties. The mechanical parameters of hydrophobic basalt fiber cement-based materials with different fiber content were calculated by Mori-Tanaka homogenization theory calculation and mesoscopic numerical simulation. Scanning electron microscopy results displayed the binding between the fiber and the gelling material was good, there was no obvious alkali-silicon reaction damage, and the homogeneity analysis could be carried out. When the fiber content was below 1.5%, there was good agreement among the experimental, finite element, and numerical simulation data. When the fiber content was 2%, deviations in numerical values occurred due to fiber agglomeration failure. These findings provided a foundation for optimizing fiber content in hydrophobic basalt fiber cement-based materials, supporting their broader application in durable concrete structures.

Indexed as

Basalt fiberFinite element methodHydrophobic concreteMori–Tanaka homogenization theoryMulti-scale simulation

Identifiers

PMID40082550
PMCPMC11906581

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.