Evidence map›Paper›PMID 36967892›Full record

ArticleHeliyon2023

Head injury of two-wheeler cyclist based on fluid-solid coupling head model.

Na Yang, Tao Liu, Jianfeng Wang, Zhongyu Li, Weihua Li, Yiqun Liu

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
0.3field-weighted citation impact, top 40% of its field
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, 1 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Na YangSchool of Automotive Engineering, Harbin Institute of Technology, Weihai, 264209, China.
Tao LiuSchool of Automotive Engineering, Harbin Institute of Technology, Weihai, 264209, China.
Jianfeng WangSchool of Automotive Engineering, Harbin Institute of Technology, Weihai, 264209, China.
Zhongyu LiSchool of Automotive Engineering, Harbin Institute of Technology, Weihai, 264209, China.
Weihua LiSchool of Automotive Engineering, Harbin Institute of Technology, Weihai, 264209, China.
Yiqun LiuSchool of Automotive Engineering, Harbin Institute of Technology, Weihai, 264209, China.
Harbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) is the main cause of driver death in electric two-wheeler accidents in China. Traumatic brain injury not only brings great threat to people's life safety, but also causes great economic losses in the process of national economic and social development. In this study, a head fluid-structure coupling finite element model was combined with a multi-rigid dummy body to form a finite element and multi-rigid body coupling model of an electric two-wheeler driver. Moreover, a human-vehicle-to-road combined system model was established that included a multi-rigid body two-wheeler model, a multi-rigid body vehicle model, and a road model, which is verified by an actual accident information. According to some simulation tests, moderate and severe nerve injuries may have happened to the driver although the HIC(Head Injury Criteria, common used in vehcile collision injury) is less than 1000. The result shows that the maximum pressure of the simulation result is 455.27 kPa, which exceeds the critical value of brain contusion. The overall relative error between simulation results and actual accident results is less than 10%. The driver model, especially the head model, can accurately simulate the bicyclist head injury and thereby provide a theoretical basis for the traffic injury assessment.

Indexed as

Actual accidentElectric two-wheelerFluid-structure interactionTraffic injury assessmentTraumatic brain injury

Identifiers

PMID36967892
PMCPMC10036883
OpenAlexW4323543395

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.