A multi-body human model for rear-impact simulation

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 mod...

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Main Authors:	Selcuk Himmetoglu, Memis Acar, Kaddour Bouazza-Marouf, Andrew Taylor
Format:	Default Article
Published:	2009
Subjects:	Mechanical engineering not elsewhere classified Multi-body human model Whiplash Rear impact Validation Mechanical Engineering not elsewhere classified Mechanical Engineering
Online Access:	https://hdl.handle.net/2134/4526
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id	rr-article-9575684
record_format	Figshare
spelling	rr-article-95756842009-01-01T00:00:00Z A multi-body human model for rear-impact simulation Selcuk Himmetoglu (7201274) Memis Acar (1248636) Kaddour Bouazza-Marouf (1248348) Andrew Taylor (1249857) Mechanical engineering not elsewhere classified Multi-body human model Whiplash Rear impact Validation Mechanical Engineering not elsewhere classified Mechanical Engineering 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 accuracy and has the potential to predict whiplash injury. 2009-01-01T00:00:00Z Text Journal contribution 2134/4526 https://figshare.com/articles/journal_contribution/A_multi-body_human_model_for_rear-impact_simulation/9575684 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Multi-body human model Whiplash Rear impact Validation Mechanical Engineering not elsewhere classified Mechanical Engineering
spellingShingle	Mechanical engineering not elsewhere classified Multi-body human model Whiplash Rear impact Validation Mechanical Engineering not elsewhere classified Mechanical Engineering Selcuk Himmetoglu Memis Acar Kaddour Bouazza-Marouf Andrew Taylor A multi-body human model for rear-impact simulation
description	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 accuracy and has the potential to predict whiplash injury.
format	Default Article
author	Selcuk Himmetoglu Memis Acar Kaddour Bouazza-Marouf Andrew Taylor
author_facet	Selcuk Himmetoglu Memis Acar Kaddour Bouazza-Marouf Andrew Taylor
author_sort	Selcuk Himmetoglu (7201274)
title	A multi-body human model for rear-impact simulation
title_short	A multi-body human model for rear-impact simulation
title_full	A multi-body human model for rear-impact simulation
title_fullStr	A multi-body human model for rear-impact simulation
title_full_unstemmed	A multi-body human model for rear-impact simulation
title_sort	multi-body human model for rear-impact simulation
publishDate	2009
url	https://hdl.handle.net/2134/4526
_version_	1797196769463894016

A multi-body human model for rear-impact simulation

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