Evidence map›Paper›PMID 40333503›Full record

ArticleMaterials (Basel, Switzerland)2025

Study on Local High-Velocity-Impact Characteristics of Carbon Fiber Composite Laminates Based on Experimental Image Sequences.

Shuguang Yao, Minxin Zhou, Jie Xing

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

3 authors.

Shuguang YaoKey Laboratory of Traffic Safety on Track School of Traffic & Transportation Engineering, Central South University, Ministry of Education, Changsha 410075, China.
Minxin ZhouKey Laboratory of Traffic Safety on Track School of Traffic & Transportation Engineering, Central South University, Ministry of Education, Changsha 410075, China.
Jie XingKey Laboratory of Traffic Safety on Track School of Traffic & Transportation Engineering, Central South University, Ministry of Education, Changsha 410075, China.

Funding

National Key Research and Development Program, China 2021YFB3703801National Natural Science Foundation of China U24B20121
6 · The paper itself

Abstract

For the complex operating environment of rail vehicles impacted by foreign objects, this study carried out experiments on carbon fiber composite laminates impacted by projectiles of three different materials in the gas gun apparatus. High-speed photography was used to capture the impact dynamic process, with subsequent analysis of image sequences enabling the quantification of both projectile energy characteristics and laminate mechanical responses. The key findings reveal that (1) the impact force demonstrates a nonlinear relationship with the energy input, exhibiting diminishing growth rates at higher energy levels, while deformable aluminum projectiles yield significantly lower average impact forces; (2) crack propagation follows a characteristic pattern of initial expansion with the impact energy reaching maxima of 88.40 mm (concrete), 41.48 mm (steel), and 80.35 mm (aluminum), and then decreasing, followed by stabilization post-perforation; (3) the penetration depth showed an accelerating nonlinear growth trend with progressively higher rates of increases as the impact energy rose, and its variation trend exhibited a correlation with the crack length. The results provide quantitative insights into carbon fiber laminates' damage mechanisms, which offer practical implications for the composite structure design in transportation systems subjected to foreign object impacts.

Indexed as

carbon fiber composite laminateshigh-velocity impactimpact response

Identifiers

PMID40333503
PMCPMC12028685

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.