A movement generation algorithm for FE Human Body Models

A movement generation algorithm for FE Human Body Models Finite element (FE) method simulations are increasingly used for the development in the area of vehicle safety nowadays. Highly detailed virtual mechanical and human body models (HBMs) available for use in connection with the increase of the processors performance and algorithms efficiency, give engineers the opportunity to simulate not only the car crash event itself but also a so‐called pre‐crash phase. This is important for the design and improvement of steering‐assist and autonomous driving systems, through the assessment of active occupant behaviour during the impact avoidance or any other complex driving manoeuvres. To enable adequate evaluation of such simulations, virtual Active Human Body Models (AHBMs) should be established, capable to not only reproduce reflex human reactions but also for simulations of human movements. This study investigates the applicability of a forward dynamics movement generation algorithm for the FE HBMs, presents first results and outlines questions, need to be solved in future to do such simulations in a robust and time effective way. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings in Applied Mathematics & Mechanics Wiley

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
Copyright © 2017 Wiley Subscription Services
ISSN
1617-7061
eISSN
1617-7061
D.O.I.
10.1002/pamm.201710070
Publisher site
See Article on Publisher Site

Abstract

Finite element (FE) method simulations are increasingly used for the development in the area of vehicle safety nowadays. Highly detailed virtual mechanical and human body models (HBMs) available for use in connection with the increase of the processors performance and algorithms efficiency, give engineers the opportunity to simulate not only the car crash event itself but also a so‐called pre‐crash phase. This is important for the design and improvement of steering‐assist and autonomous driving systems, through the assessment of active occupant behaviour during the impact avoidance or any other complex driving manoeuvres. To enable adequate evaluation of such simulations, virtual Active Human Body Models (AHBMs) should be established, capable to not only reproduce reflex human reactions but also for simulations of human movements. This study investigates the applicability of a forward dynamics movement generation algorithm for the FE HBMs, presents first results and outlines questions, need to be solved in future to do such simulations in a robust and time effective way. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Journal

Proceedings in Applied Mathematics & MechanicsWiley

Published: Jan 1, 2017

References

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