Evidence map›Paper›PMID 42252322›Full record

ArticleScientific reports2026

Role of polyacrylonitrile fiber diameter and aspect ratio on mechanical performance and pore structure of cementitious mortars.

Vedat Goktug Culgatay, Murat Ozturk

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

2 authors.

Vedat Goktug CulgataySmart Materials Laboratory, Engineering Faculty, Civil Engineering, Bursa Uludag University, Bursa, 16059, Turkey.
Murat OzturkSmart Materials Laboratory, Engineering Faculty, Civil Engineering, Bursa Uludag University, Bursa, 16059, Turkey. muratozturk@uludag.edu.tr.ORCID http://orcid.org/0000-0003-3389-4883

Funding

Bursa Uludağ Üniversitesi FGA-2025-2027
6 · The paper itself

Abstract

This study investigates how the geometric parameters of synthetic microfibers-specifically fiber diameter and resulting aspect ratio-govern the transition between crack-bridging-dominated reinforcement and matrix-densification-driven strengthening in cementitious mortars. Polyacrylonitrile (PAN) fibers with identical length (6 mm) but three distinct diameters (≈ 15, 35, and 40 μm) are incorporated at volume fractions ranging from 0.2% to 0.6%, enabling isolation of aspect ratio effects under controlled conditions. Rather than treating fiber reinforcement as a purely mechanical addition, the results demonstrate that below a critical fiber diameter, PAN fibers act as an active microstructural modifier. Finer fibers with higher aspect ratios promote a shift in the governing strengthening mechanism-from conventional crack-bridging to simultaneous pore refinement and enhanced stress transfer at the fiber-matrix interface. This transition is evidenced by a coupled improvement in compressive and flexural strength, accompanied by a pronounced reduction in harmful capillary and macropores, as confirmed by mercury intrusion porosimetry (MIP)and scanning electron microscopy (SEM). In contrast, mortars reinforced with coarser PAN fibers exhibit behavior consistent with classical fiber reinforcement models, where mechanical performance remains largely insensitive to fiber content and microstructural refinement is limited. These findings indicate that fiber geometry defines not only reinforcement efficiency but also the dominant physical mechanism by which fibers interact with the cementitious matrix.

Indexed as

Cementitious mortarFiber geometryMechanical propertiesMicrostructurePAN fiber

Identifiers

PMID42252322
PMCPMC13486746

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.