Evidence map›Paper›PMID 40461730›Full record

ArticleScientific reports2025

A topological approach to understanding crack initiation and propagation in carbon fiber reinforced polymer composites under an opening load.

Mayrene Uy, Daiki Kido, Masao Kimura

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. 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

3 authors.

Mayrene UyPhoton Factory (PF), Institute of Materials Structure Science (IMSS), High Energy Accelerator Research Organization (KEK), Tsukuba, 305-0801, Japan. mayrene@post.kek.jp.
Daiki KidoPhoton Factory (PF), Institute of Materials Structure Science (IMSS), High Energy Accelerator Research Organization (KEK), Tsukuba, 305-0801, Japan.
Masao KimuraPhoton Factory (PF), Institute of Materials Structure Science (IMSS), High Energy Accelerator Research Organization (KEK), Tsukuba, 305-0801, Japan. masao.kimura@kek.jp.

Funding

Japan Society for the Promotion of Science KAKENHI JP20H02028Japan Society for the Promotion of Science London KAKENHI JP19H00834JST-Mirai Program JPMJMI22C1
6 · The paper itself

Abstract

This paper presents a novel quantitative approach for characterizing evolution of cracks in carbon fiber-reinforced polymer (CFRP) composites subjected to opening loads using in situ synchrotron radiation X-ray computed tomography (nanoscopic SR X-CT) with spatial resolution of ∼50 nm. Topological data analysis (TDA), specifically persistent homology (PH) and its distance metric, the p-Wasserstein distance ([Formula: see text]), is employed to quantitatively describe the distinct three-dimensional (3D) shapes of cracks in samples with "thin" and "thick" resin regions. The 3D crack shapes correspond to different cracking modes, with "thin" resin regions displaying brittle behavior and "thick" regions exhibiting more ductile characteristics. This topological method, which tracks changes in crack shape across two-dimensional (2D) slices, effectively distinguishes between brittle and ductile cracking modes and quantifies the cracking mechanism autonomously. Additionally, the method identifies trigger sites and the timing of crack propagation by correlating the crack's progression along the length of the carbon fiber/epoxy composites with its temporal evolution. From a materials perspective, this methodology allows integration of not just crack length but also 3D crack shape into predictive models, offering valuable insights for optimizing the performance and extending the lifetime of carbon fiber/epoxy composites.

Indexed as

CFRPCrack evolutionPersistent homologyWasserstein distance

Identifiers

PMID40461730
PMCPMC12134100

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LicenceCC BY-NC-ND
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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.