Evidence map›Paper›PMID 40428925›Full record

ArticleMaterials (Basel, Switzerland)2025

Mechanical Performance Evaluation of Negative-Poisson's-Ratio Honeycomb Helmets in Craniocerebral Injury Protection.

Bin Yang, Xingyu Zhang, Yang Zheng, Peng Zhang, Xin Li, Jinguo Wu, Feng Gao, Jiajia Zou, Xuan Ma, Hao Feng and 2 more

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

12 authors.

Bin YangSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.ORCID 0000-0002-5646-2672
Xingyu ZhangSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.ORCID 0009-0007-0717-0861
Yang ZhengSchool of Automotive and Transportation Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0009-0002-1570-1814
Peng ZhangSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.ORCID 0009-0002-7607-5095
Xin LiSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Jinguo WuSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.ORCID 0000-0002-6128-0937
Feng GaoSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Jiajia ZouSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Xuan MaSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.
Hao FengSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.ORCID 0009-0009-4993-7260
Li LiSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.ORCID 0009-0007-5694-0850
Xinyu WeiSchool of Transportation Engineering, Nanjing Institute of Technology, Nanjing 211167, China.ORCID 0009-0001-5188-9757

Funding

Fund of Nanjing Institute of Technology CKJB202205National Natural Science Foundation of China 12372079Natural Science Foundation of Jiangsu Province, China BK20201470Natural Science Foundation of Jiangsu Province, China BK20220687
6 · The paper itself

Abstract

Helmets are crucial for protecting motorcycle riders from head injuries in accidents. This study proposes a helmet pad design based on a negative-Poisson's-ratio (NPR) structure and comprehensively evaluates its protective effect on head injuries. A concave hexagonal honeycomb structure was embedded into the energy-absorbing lining of a motorcycle helmet, and finite element collision simulations were conducted according to the ECE R22.05 standard. These simulations compared and analyzed the differences in protective performance between concave hexagonal honeycomb helmets with different parameter configurations and traditional expanded polystyrene (EPS) helmets under flat anvil impact scenarios. Using biomechanical parameters, including peak linear acceleration (PLA), head injury criterion (HIC), intracranial pressure (ICP), maximum principal strain (MPS), and the probability of AIS2+ traumatic brain injury, the protective effect of the helmets on traumatic brain injury was evaluated. The results showed that when the wall angle of the honeycomb structure was 60°, honeycomb helmets with wall thicknesses of 0.8 mm and 1.0 mm significantly reduced PLA and HIC values. In particular, the honeycomb helmet with a wall thickness of 1.0 mm reduced ICP by 25.7%, while the honeycomb helmet with a wall thickness of 1.2 mm exhibited the lowest maximum principal strain in the skull compared to EPS helmets and reduced the probability of AIS2+ brain injury by 7.2%. Concave hexagonal honeycomb helmets demonstrated an excellent protective performance in reducing the risk of traumatic brain injury. These findings provide important theoretical foundations and engineering references for the design and optimization of new protective helmets.

Indexed as

biomechanicscraniocerebral injury protectionhelmet linernegative-Poisson’s-ratio structurere-entrant hexagonal honeycomb

Identifiers

PMID40428925
PMCPMC12113351

What OpenQuestion holds

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LicenceCC BY
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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.