Literature DB >> 29801168

Differences in Impact Performance of Bicycle Helmets During Oblique Impacts.

Megan L Bland1, Craig McNally2, Steven Rowson3.   

Abstract

Cycling is a leading cause of sport-related head injuries in the U.S. Although bicycle helmets must comply with standards limiting head acceleration in severe impacts, helmets are not evaluated under more common, concussive-level impacts, and limited data are available indicating which helmets offer superior protection. Further, standards evaluate normal impacts, while real-world cyclist head impacts are oblique-involving normal and tangential velocities. The objective of this study was to investigate differences in protective capabilities of ten helmet models under common real-world accident conditions. Oblique impacts were evaluated through drop tests onto an angled anvil at common cyclist head impact velocities and locations. Linear and rotational accelerations were evaluated and related to concussion risk, which was then correlated with design parameters. Significant differences were observed in linear and rotational accelerations between models, producing concussion risks spanning >50% within single impact configurations. Risk differences were more attributable to linear acceleration, as rotational varied less between models. At the temporal location, shell thickness, vent configuration, and radius of curvature were found to influence helmet effective stiffness. This should be optimized to reduce impact kinematics. At the frontal, helmet rim location, liner thickness tapered off for some helmets, likely due to lack of standards testing at this location. This is a frequently impacted location for cyclists, suggesting that the standards testable area should be expanded to include the rim. These results can inform manufacturers, standards bodies, and consumers alike, aiding the development of improved bicycle helmet safety.

Mesh:

Year:  2018        PMID: 29801168     DOI: 10.1115/1.4040019

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  6 in total

1.  Predictive Helmet Optimization Framework Based on Reduced-Order Modeling of the Brain Dynamics.

Authors:  Alireza Mojahed; Javid Abderezaei; Efe Ozkaya; Lawrence Bergman; Alexander Vakakis; Mehmet Kurt
Journal:  Ann Biomed Eng       Date:  2022-01-25       Impact factor: 3.934

2.  Impact Performance Comparison of Advanced Bicycle Helmets with Dedicated Rotation-Damping Systems.

Authors:  Michael Bottlang; Alexandra Rouhier; Stanley Tsai; Jordan Gregoire; Steven M Madey
Journal:  Ann Biomed Eng       Date:  2019-07-24       Impact factor: 3.934

3.  Laboratory Reconstructions of Real-world Bicycle Helmet Impacts.

Authors:  Ann R Harlos; Steven Rowson
Journal:  Ann Biomed Eng       Date:  2021-09-20       Impact factor: 3.934

4.  Effect of helmet design on impact performance of industrial safety helmets.

Authors:  Michael Bottlang; Gina DiGiacomo; Stanley Tsai; Steven Madey
Journal:  Heliyon       Date:  2022-07-16

5.  Development of the STAR Evaluation System for Assessing Bicycle Helmet Protective Performance.

Authors:  Megan L Bland; Craig McNally; David S Zuby; Becky C Mueller; Steven Rowson
Journal:  Ann Biomed Eng       Date:  2019-08-01       Impact factor: 3.934

6.  Impact Performance Comparison of Advanced Snow Sport Helmets with Dedicated Rotation-Damping Systems.

Authors:  Gina DiGiacomo; Stanley Tsai; Michael Bottlang
Journal:  Ann Biomed Eng       Date:  2021-02-02       Impact factor: 3.934

  6 in total

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