The University of Southampton
University of Southampton Institutional Repository

Modelling of fore-and-aft apparent mass of the human body and the transmissibility of seat backrest

Modelling of fore-and-aft apparent mass of the human body and the transmissibility of seat backrest
Modelling of fore-and-aft apparent mass of the human body and the transmissibility of seat backrest
A combined lumped-parameter and multi-body system dynamic model of the human body–seat system has been constructed with masses and moments of inertia and with linear translational and rotational springs and dampers. The model was developed in four steps by minimising the sum-of-least-squares error between laboratory measurements and model predictions of the fore-and-aft driving point apparent
mass and the fore-and-aft transmissibility of a car backrest. Good agreement was achieved between model predictions and both the median measured driving-point apparent mass and the median measured backrest transmissibility with six subjects. The model was capable of representing the measured apparent masses and predicting the backrest transmissibility with the individual subjects. It was also capable of predicting the backrest transmissibilities of two different car seats. A sensitivity study was conducted and the effects of the model parameters on the peak moduli and corresponding frequencies of the apparent mass and the backrest transmissibility are presented.
0042-3114
703-722
Qui, Yi
ef9eae54-bdf3-4084-816a-0ecbf6a0e9da
Griffin, Michael J.
24112494-9774-40cb-91b7-5b4afe3c41b8
Qui, Yi
ef9eae54-bdf3-4084-816a-0ecbf6a0e9da
Griffin, Michael J.
24112494-9774-40cb-91b7-5b4afe3c41b8

Qui, Yi and Griffin, Michael J. (2011) Modelling of fore-and-aft apparent mass of the human body and the transmissibility of seat backrest. Vehicle System Dynamics, 49 (5), 703-722. (doi:10.1080/00423111003695594).

Record type: Article

Abstract

A combined lumped-parameter and multi-body system dynamic model of the human body–seat system has been constructed with masses and moments of inertia and with linear translational and rotational springs and dampers. The model was developed in four steps by minimising the sum-of-least-squares error between laboratory measurements and model predictions of the fore-and-aft driving point apparent
mass and the fore-and-aft transmissibility of a car backrest. Good agreement was achieved between model predictions and both the median measured driving-point apparent mass and the median measured backrest transmissibility with six subjects. The model was capable of representing the measured apparent masses and predicting the backrest transmissibility with the individual subjects. It was also capable of predicting the backrest transmissibilities of two different car seats. A sensitivity study was conducted and the effects of the model parameters on the peak moduli and corresponding frequencies of the apparent mass and the backrest transmissibility are presented.

This record has no associated files available for download.

More information

Published date: May 2011
Organisations: Human Sciences Group, Inst. Sound & Vibration Research

Identifiers

Local EPrints ID: 152811
URI: http://eprints.soton.ac.uk/id/eprint/152811
ISSN: 0042-3114
PURE UUID: f2a9293c-58a8-4dcd-a5a3-6d13b03a041b
ORCID for Michael J. Griffin: ORCID iD orcid.org/0000-0003-0743-9502

Catalogue record

Date deposited: 17 May 2010 15:13
Last modified: 14 Mar 2024 01:25

Export record

Altmetrics

Contributors

Author: Yi Qui
Author: Michael J. Griffin ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×