A stochastic model validated with human test data causally associating target vehicle Delta V,occupant cervicocranial biomechanics,and injury during rear-impact crashes |
| |
| Institution: | 1. Kohles Bioengineering, 1731 SE 37th Avenue, Portland, OR, 97214, USA;2. Division of Biomaterials & Biomechanics, School of Dentistry, and Department of Emergency Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, USA;3. Department of Human Physiology and Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR, USA;4. Cascade Spine & Injury Center, 5253 NE Sandy Boulevard, Portland, Oregon, 97213, USA;1. Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India;2. Department of Forensic Medicine and Toxicology, Dr Sampurnanand Medical College, Jodhpur, India;3. Department of Pathology and Lab Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India;1. Department of Forensic Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka;2. Office of the Judicial Medical Officer, Colombo North Teaching Hospital, Ragama, Sri Lanka;1. University of Coimbra, Centre for Functional Ecology, Laboratory of Forensic Anthropology, Department of Life Sciences, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal;2. University of Coimbra, Molecular Physical-Chemistry R&D Unit, Department of Chemistry, Coimbra, Portugal;3. LIBPhys-UC, Department of Physics, Faculty of Sciences and Technology, University of Coimbra, Rua Larga, 3004-516, Coimbra, Portugal |
| |
| Abstract: | Even at low to moderate-speeds, rear-end motor vehicle crashes have been strongly associated with occupant cervicocranial biomechanics that lead to head and neck injury. In this paper, we present the development of an analytic mechanics model of occupant head and neck motion as associated with modeled target vehicle Delta V during rear-end vehicular crashes. The inclusion of stochastic mechanical input variables further developed the model beyond the deterministic framework by reflecting aspects of the random nature of real-world crashes and the resulting injuries. This approach led to the characterization of 1000 crash simulations, quantifying Delta V and the resulting probabilistic occupant biomechanics. The model was validated through the direct comparison with 86 published human subject crash tests. Overall, the model slightly underestimated by ?2.6% the magnitude of peak head accelerations identified in the literature. The utility of the model allows a forensic biomechanical investigator to customize some of the fundamental input crash parameters and appropriately explore the resulting vehicular mechanics and their direct influence on injury biomechanics. |
| |
| Keywords: | Head/neck Cervical spine Delta V Peak head acceleration Automobile crashes Forensic biomechanics Probabilistic modeling |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
