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Motorcycle Helmet Part I. Biomechanics and Computational Issues.

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TLDR
In this article, the current status related to motorcycle helmet crash studies from biomechanics and computational point of view is reviewed, and the importance of motorcycle helmet performance on statistical background was reviewed.
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This article is published in Journal of Materials Processing Technology.The article was published on 2002-05-10. It has received 52 citations till now.

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Journal ArticleDOI

Numerical simulations of motorcycle helmet impact tests

TL;DR: In this paper, the authors simulate experimental impact tests on a commercially available motorcycle helmet and develop a virtual design tool to estimate the mechanical properties of the shell and the foam liner of the helmet from existing material data taken from the open literature.
Journal ArticleDOI

Design of Ventilated Helmets: Computational Fluid and Impact Dynamics Studies

TL;DR: In this article, a new design of helmet, with grooves in the liner foam and slot in the outer shell and liner foam to improve the ventilation, is proposed, and computational fluid dynamics studies show considerable improvement in air velocities inside the helmet in the presence of grooves and slot.
Journal ArticleDOI

The traumatic brain injury mitigation effects of a new viscoelastic add-on liner

TL;DR: The potential of the viscoelastic add-on components as lightweight and cost-effective solutions for enhancing helmet protection and decreasing strain and strain-rate across the brain during head impacts is shown.
Journal ArticleDOI

Prediction of Outcome after Traumatic Brain Injury Using Clinical and Neuroimaging Variables

TL;DR: Motorcycle accident, being an accident victim, and a lower GCS score at 24 hours or more after the accident were found to be unfavorable prognostic variables, and DAI was the only radiologic variable predicting an unfavorable outcome.
Journal ArticleDOI

New methodology for improvement of helmet performances during impacts with regards to biomechanical criteria

TL;DR: In this paper, a new method for enhancing helmet performance during an impact is considered, where an approved composite helmet finite element model is coupled with an anatomical head finite elements model and is evaluated in terms of injury risks (risks of neurological injuries or subdural haematoma) under normative impact conditions (ECE 22.05 standard).
References
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Journal ArticleDOI

Biomechanical analysis of experimental diffuse axonal injury

TL;DR: The purpose of this paper is to present results from methodologies used in the laboratory that are targeted toward identifying specific brain injury thresholds, as well as identifying new means of diagnostic and treatment techniques for diffuse axonal injury.

Motorcycle accident cause factors and identification of countermeasures

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TL;DR: In this paper, an on-scene, in-depth investigation of 900 motorcycle accidents was conducted in Los Angeles, California, where human factors, vehicle and environmental data were collected.

Motorcycle accident cause factors and identification of countermeasures. volume ii: appendix/supplemental data

TL;DR: In this article, the authors present the data and findings from the on-scene, in-depth investigations of 900 motorcycle accidents and the analysis of 3600 motorcycle traffic accident reports in the same study area.

Human head dynamic response to side impact by finite element modeling

TL;DR: In this article, the dynamic response of the human head to side impact was studied by 2-dimensional finite element modeling, and three models were formulated in this study: an axisymmetric model, a single-layered spherical shell filled with an inviscid fluid, and a plane strain model of a coronal section of the head.
Journal ArticleDOI

Human Head Dynamic Response to Side Impact by Finite Element Modeling

TL;DR: The purpose of this study was to determine the effects of the membranes and that of the mechanical properties of the skull, brain, and membrane on the dynamic response of the brain during side impact, and to compare the pressure distributions from the plane strain model with the axisymmetric model.
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