Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Nonlinear coupled dynamic modelling of driver-seat-cab system and biomechanical behaviour prediction
ID
Zhao, Leilei
(
Author
),
ID
Yu, Yuewei
(
Author
),
ID
Cao, Jianhu
(
Author
),
ID
Zhou, Weiwei
(
Author
)
PDF - Presentation file,
Download
(1022,36 KB)
MD5: 02BA016273E3AA6E6A7D2DE88658980E
URL - Source URL, Visit
https://www.sv-jme.eu/sl/article/nonlinear-coupled-dynamic-modelling-of-driver-seat-cab-system-and-biomechanical-behaviors-prediction/
Image galllery
Abstract
The biomechanical responses of the driver-truck system in a dynamic environment have become a significant concern in the design and control of trucks. When evaluating the riding comfort of the seat-cab system, it is necessary to predict the biomechanical responses of the driver’s different parts and directions. However, there is no reliable model and method for effectively predicting the response characteristics of the driver-seat-cab system. Aiming at such problem, firstly, based on the 7 DOF (degree-of-freedom) seated human biodynamic model established previously, a 10 DOF non-linear dynamic model of the driver-seat-cab system was created, and its vibration differential equations were established. Secondly, the vibration signals for simulation and verification were collected through the road test using a truck. Thirdly, based on the Newmark-β integration method, the specific solution process of the model was given. The non-linear damping coefficients of the front and rear dampers for the cab suspensions were measured with a bench test. Moreover, the simulations were conducted based on the measured model parameters, taking the collected frame vibration signals as the inputs. The results show that the simulation results agree with the test results, proving that the dynamic model can effectively predict the driver’s biomechanical responses. Finally, some useful conclusions were obtained through the simulation analysis. The established model and conclusions can provide technical support for comfort evaluation, optimization design, and control of the seat-cab suspension system.
Language:
English
Keywords:
driver-seat-cab system
,
driver’s health
,
dynamic modeling
,
biomechanical responses
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
Str. 90-100
Numbering:
Vol. 68, no. 2
PID:
20.500.12556/RUL-135445
UDC:
531.395:004.94
ISSN on article:
0039-2480
DOI:
10.5545/sv-jme.2021.7429
COBISS.SI-ID:
100940035
Publication date in RUL:
15.03.2022
Views:
797
Downloads:
103
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Strojniški vestnik
Shortened title:
Stroj. vestn.
Publisher:
Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:
0039-2480
COBISS.SI-ID:
762116
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
16.12.2021
Applies to:
Accepted for publication
Secondary language
Language:
Slovenian
Title:
Nelinearen sklopljeni dinamični model sistema voznik-sedežkabina in napoved biomehanskega vedenja
Keywords:
avtomobilska tehnika
,
kakovost vožnje
,
sistem voznik-sedež-kabina
,
voznikovo zdravje
,
dinamično modeliranje
,
biomehanski odziv
Projects
Funder:
Other - Other funder or multiple funders
Funding programme:
Nature Science Foundation of Shandong
Project number:
ZR2020ME127
Funder:
Other - Other funder or multiple funders
Funding programme:
National Natural Science Foundation of China
Project number:
11802338
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back