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A seated human model for predicting the coupled human-seat transmissibility exposed to fore-aft whole-body vibration

journal contribution
posted on 2024-11-02, 12:06 authored by Eunyeong Kim, Mohammad AtapourfardMohammad Atapourfard, Kazuhito Kato
Occupant discomfort, induced by vibration transmitted through a vehicle seat, can be evaluated by measuring vibration on the contact interface between the occupant and seat. In the previous study (Ittianuwat et al., 2016), measuring five contact points of the back-backrest, including centre point (ISO 2631-1), was considered as an important factor for assessing occupant comfort in frequencies where seat structure resonances occur. To enhance occupant vibration comfort in the early seat design stage, predicting the dynamic response of the coupled human-seat system on various contact locations is necessary. In this study, a low order seated human body Finite Element (FE) model was developed for predicting vibration transmissibility of the human-seat system in frequencies up to 30 Hz. Throughout the optimization process, the parameters of the model were obtained by comparing measured transmissibilities of the occupied vehicle seat system. The human-seat system vibration modes were also compared and verified with measured data by calculating MAC (Modal Assurance Criterion). The results showed that two human body vibration modes coupled with foam were observed below 10 Hz, and two coupled human and seat structure fore-aft modes were observed at around 20.1 Hz and 21.9 Hz. Fore-aft transmissibility of the model at various locations of contact provided reasonable correlation with the measured data. The developed low order human model enables the prediction of the fore-aft transmissibility on various back-backrest contact locations up to 30 Hz. This showed the capability of improving occupant's vibration comfort by predicting transmissibilities of the human-seat system in the early stage of developing a new vehicle seat.

History

Journal

Applied Ergonomics

Volume

84

Number

102929

Start page

1

End page

9

Total pages

9

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2019 Published by Elsevier Ltd.

Former Identifier

2006096710

Esploro creation date

2020-06-22

Fedora creation date

2020-04-20

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