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汽车安全与节能学报

Journal of Automotive Safety and Energy ›› 2012, Vol. 3 ›› Issue (4): 295-307.DOI: 10.3969/j.issn.1674-8484.2012.04.001

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Focusing on Vulnerable Populations in Crashes:Recent Advances in Finite Element Human Models for Injury Biomechanics Research

HU Jingwen1, Jonathan D. RUPP 1,2,3, Matthew P. REED 1,4   

  1. 1.University of Michigan Transportation Research Institute, Ann Arbor, MI, USA ；
    2. Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA ；
    3. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA ；
    4. Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA
  • Received:2012-11-15 Online:2012-12-25 Published:2013-01-05
  • About author:Dr. Jingwen HU He is an assistant research scientist in the Biosciences group at University of Michigan Transportation Research Institute, USA. His research interests focus on numerical modeling of human, Anthropommorphic Test Devices (ATD), and vehicles under impact loading. His recent research included injury prevention for children, elderly, pregnant female, wheel-chair user, pedestrian, and obese population.

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Abstract:

Children, small female, elderly, and obese occupants are at greater risk of death and serious injuries
in motor-vehicle crashes than the mid-size, young, male occupants. However, current injury assessment tools,
including crash test dummies and finite element (FE) human models, generally do not account for different
body shape and composition variations among the population. The opportunity to broaden crash protection
encompassing all vehicle occupants lies in improved, parametric human FE models that represent a wide range
of human attributes. In this study, a literature review demonstrates that recent studies on human anthropometry,
finite element human modeling, mesh morphing, human tissue tests and whole-body cadaver tests have laid the
groundwork for the new generation of human models. A framework for developing such models was proposed
in this study. The developed models enable population-based simulations for future vehicle design optimizations
targeting at various vulnerable populations that are not represented by current injury assessment tools.