Evidence map›Paper›PMID 42263116›Full record

ArticlePloS one2026

Study on tensile mechanical response and microstructure of polypropylene fiber reinforced loess under freezing.

Yuxing Wang, Chunhui Liu, Yimin Zhong, Erqing Mao, Fei He

Abstract read
In one paragraph

Article in PloS one, 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

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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.

Yuxing WangThe Highway Development Center Of Gansu Province, Lanzhou, China.
Chunhui LiuThe Highway Development Center Of Gansu Province, Lanzhou, China.
Yimin ZhongSchool of Civil Engineering, Lanzhou Jiaotong University, Lanzhou, China.
Erqing MaoSchool of Civil Engineering, Lanzhou Jiaotong University, Lanzhou, China.
Fei HeSchool of Civil Engineering, Lanzhou Jiaotong University, Lanzhou, China.ORCID https://orcid.org/0009-0007-8607-8878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tensile strength is one of the key parameters in the mechanics of frozen ground, widely applied in the engineering design of frozen ground and theoretical research on frost heave. Fiber-reinforced soil technology has attracted considerable attention from numerous researchers. This study utilised a custom-designed tensile testing apparatus to investigate the influence of polypropylene fiber content, freezing temperature, and loading rate on the mechanical response of frozen loess. Combined with microscopic structural observations, the research elucidates the fiber reinforcement mechanism. Experiments revealed that fiber incorporation transformed the soil's failure mode from brittle fracture to ductile failure, characterised by multiple fissures, significantly enhancing the material's load-bearing capacity and deformation properties. Optimal reinforcement was achieved at a fiber content of 0.3%, with tensile strength increasing by 71.4% compared to unfibered soil. The stress-strain response exhibited sustained strengthening characteristics. Tensile strength exhibits exponential growth with decreasing freezing temperatures and linear increase with rising loading rates. The incorporation of fibers further enhances the material's response capability under dynamic loading conditions. Microstructural analysis indicates that an appropriate fiber content effectively fills soil pores and forms a spatial network structure, whereas excessive fibers cause agglomeration due to uneven distribution, resulting in structural weakening. This research provides experimental evidence and theoretical reference for the design and application of fiber-modified frozen ground in engineering projects within cold regions.

Indexed as

FreezingPolypropylenesSoilTensile StrengthMaterials TestingStress, MechanicalPolypropylenesSoil

Identifiers

PMID42263116
PMCPMC13249173

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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.