期刊论文详细信息
JOURNAL OF BIOMECHANICS 卷:75
Influence of the chest compression measurement method on assessment of restraint performance in side-impact crash scenarios
Article
Gierczycka, Donata1  Cronin, Duane1 
[1] Univ Waterloo, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
关键词: Human body model;    Injury biomechanics;    Finite element method;    Side impacts;    Passive restraints;   
DOI  :  10.1016/j.jbiomech.2018.04.044
来源: Elsevier
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【 摘 要 】

Side impact crashes contribute a significant number of fatal injuries (25% of road fatalities in the USA in 2016), with severe thoracic injuries diagnosed in 58% of front near-side impact occupants, Epidemiological data indicate that thoracic-only side airbags (tSABs) are not as effective as laboratory testing has suggested, and one of the reasons for this may be the use of surrogate-specific injury assessment methods, which are not directly transferable between Anthropometric Test Devices (ATDs) and Post-Mortem Human Surrogates (PMHSs). This study examines the effect of the thorax deformation measurement location and method on the predicted performance of seatbelts and tSABs in a side impact using a Human Body Model (HBM). The HBM was integrated in a vehicle and subjected to a Moving Deformable Barrier (MDB) impact at 61 km/h, with four restraint configurations: belted and unbelted, with and without a tSAB. Occupant response was assessed through chest band (CB) deformation, and as a change in distance between markers on the ribs. Multiple measurement locations in the HBM enabled direct comparison between the methods. The CB method indicated a 35% increase of chest compression due to tSAB; the rib-deflection (RD) method was not sensitive to the tSAB. The RD method predicted a 20% reduction of chest compression due to the seatbelt, but the CB-measured change was negligible. This study highlights the importance of measurement method on the response outcome and demonstrates that different outcomes may be predicted using a HBM for the same impact scenario, depending on the measurement method. (C) 2018 Elsevier Ltd. All rights reserved.

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