United States Department of Transportation
i
Restraint Design for Obese Occupants [First of Four Parts]
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2024-05-01
[PDF-4.18 MB]
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Edition:First of four parts
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Abstract:This study drew conclusions by conducting research in five different parts: the effect of obesity on the risk of injury to different body regions; the most frequent injuries of occupants with and without obesity and the potential injury mechanism of the most frequent injuries of occupants with obesity; quantified comparison of the response of a Global Human Body Modeling Consortium obesity model to an obese postmortem human surrogate; the effect of restraint system parameters on the obese and non-obese human body model (HBM) responses, including the HBM kinematics and the values of different injury metrics; assessment of the prediction ability of several advanced machine learning techniques for restraint design parametric simulations; demonstrating leveraging machine learning to predict the response of simulations with HBMs to avoid over-fitting and under-fitting; comparison of the parameters defining the optimized restraint system for an obese HBM, non-obese HBM, and both HBMs concurrently. This is the first of four parts of this study.
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