This paper presents the validation of a 50th-percentile male multi-body human model specifically developed for rear-impact simulation. The aim is to develop a biofidelic model with the simplest architecture that can simulate the interaction of the human body with the seat during rear impact. The model was validated using the head-and-neck and torso responses of seven volunteers from the Japanese Automobile Research Institute sled tests, which were performed at an impact speed of 8 km/h with a rigid seat and without head restraint and seat belt. The results indicate that the human-body model can effectively mimic the rear-impact response of a 50th-percentile male with a good level of acuracy and has the potential to predict whiplash injury. The BMH model was validated comprehensively using head, T1, and torso responses of volunteers. The BMH model response is more biofidelic than that of the curretly used models and dummies. A satisfactory level of precision was achieved by developing a model with the simplest architecture possible and introducing a practical method to imitate muscle activity. The stiffness properties were extended by defining equivalent ROMs, which enables the BMH model to be used in higher-severity rear-impact scenarios. The BMH model can therefore be used as a supplementary and economical tool to investigate the feasibility of seat and head restraint designs before proceeding to more complex models and/or crash testing with the BioRID dummy.
A multi-body human model for rear-impact simulation
Mehrkörper-Humanmodell zur Heckaufprall-Simulation
2009
16 Seiten, 15 Bilder, 5 Tabellen, 37 Quellen
Article (Journal)
English
A multi-body human model for rear-impact simulation
SAGE Publications | 2009
|A multi-body human model for rear-impact simulation
Online Contents | 2009
|A multi-body human model for rear-impact simulation
Automotive engineering | 2009
|A multi-body head-and-neck model for simulation of rear impact on cars
Automotive engineering | 2007
|A multi-body head-and-neck model for simulation of rear impact in cars
Online Contents | 2007
|