2015
DOI: 10.1080/15389588.2015.1061666
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Driver Injury Risk Variability in Finite Element Reconstructions of Crash Injury Research and Engineering Network (CIREN) Frontal Motor Vehicle Crashes

Abstract: A method to compute injury metrics and risks as functions of precrash occupant position was developed and applied to 2 CIREN MVC FE reconstructions. The reconstruction process allows for quantification of the sensitivity and uncertainty of the injury risk predictions based on occupant position to further understand important factors that lead to more severe MVC injuries.

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Cited by 16 publications
(5 citation statements)
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“…The present studies provide information on the difference in head performance for various seatback positions. The duration of the acceleration peak can be used to predict the appropriate operation of a restrain systems, such as an airbag or seatbelt design [22,34,45,58,60]. Furthermore, present studies constitute the inside of a safe environment for volunteer testing on this matter.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The present studies provide information on the difference in head performance for various seatback positions. The duration of the acceleration peak can be used to predict the appropriate operation of a restrain systems, such as an airbag or seatbelt design [22,34,45,58,60]. Furthermore, present studies constitute the inside of a safe environment for volunteer testing on this matter.…”
Section: Discussionmentioning
confidence: 99%
“…However, there are very few papers focusing on the body dynamics of the reclined seat. Different belt performance in terms of restraining an occupant and altered body dynamics can lead to ineffective airbag performance, for instance [57][58][59]. Greater head impact is achieved when submarining occurs, due to greater distance to the airbag [60].…”
Section: Introductionmentioning
confidence: 99%
“…In the research by ( Arun et al, 2017 ), they used the HBM developed by Global Human Body Model Consortium (GHBMC). However, THUMS was used by ( Golman et al, 2014 ; Gaewsky et al, 2015 ; Jones et al, 2016 ; Ye et al, 2018 ), and ViVA – open source HBM was adopted by ( Östh et al, 2015 ; Östh et al, 2016a ; Östh et al, 2016b ; Östh et al, 2017a ; Östh et al, 2017b ). The latter model was chosen for this study because it was an open source project, and it was a model of 50 th percentile female, for whom there was evidence that they could be more vulnerable during vehicle collisions ( Pintar et al, 2012 ; Kaufman et al, 2013 ; Östh et al, 2017b ).…”
Section: Introductionmentioning
confidence: 99%
“…A growing component of these types of analyses includes the use of computational human body surrogates. These simulations can include a variety of models, including rigid body models (Untaroiu et al 2010), anthropomorphic test devices (ATDs) (Gaewsky et al 2015), or full human body models (HBMs) . Due to the reduced cost of running these simulations, as well as the large amount data that can be extracted from them, these types of simulations offer a valuable supplement to physical testing.…”
Section: Introductionmentioning
confidence: 99%