A new uncertain analysis method and its application in vehicle dynamics

Wu, J; Luo, Z; Zhang, N; Zhang, Y

A new uncertain analysis method and its application in vehicle dynamics

Wu, J

Luo, Z

Zhang, N

Zhang, Y

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Publication Type:: Journal Article
Citation:: Mechanical Systems and Signal Processing, 2015, 50-51 pp. 659 - 675
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Wu, J https://orcid.org/0000-0002-4925-4242	en_US
dc.contributor.author	Luo, Z https://orcid.org/0000-0002-6953-3986	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.contributor.author	Zhang, Y	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Mechanical Systems and Signal Processing, 2015, 50-51 pp. 659 - 675	en_US
dc.identifier.issn	0888-3270	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33966
dc.identifier.uri	http://hdl.handle.net/10453/33976
dc.identifier.uri	http://hdl.handle.net/10453/33977
dc.description.abstract	This paper proposes a new uncertain analysis method for vehicle dynamics involving hybrid uncertainty parameters. The Polynomial Chaos (PC) theory that accounts for the random uncertainty is systematically integrated with the Chebyshev inclusion function theory that describes the interval uncertainty, to deliver a Polynomial-Chaos-Chebyshev-Interval (PCCI) method. The PCCI method is non-intrusive, because it does not require the amendment of the original solver for different and complicated dynamics problems. Two types of evaluation indexes are established: the first includes interval mean (IM) and interval variance (IV), and the second are the mean of lower bound (MLB), the variance of lower bound (VLB), the mean of upper bound (MUB) and the variance of upper bound (VUB). The Monte Carlo method is combined with the scanning method to produce the reference results, and then a 4-DOF vehicle roll plan model is employed to demonstrate the effectiveness of the proposed method for vehicle dynamics. © 2014 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Mechanical Systems and Signal Processing	en_US
dc.relation.isbasedon	10.1016/j.ymssp.2014.05.036	en_US
dc.subject.classification	Acoustics	en_US
dc.title	A new uncertain analysis method and its application in vehicle dynamics	en_US
dc.type	Journal Article
utslib.citation.volume	50-51	en_US
utslib.for	091304 Dynamics, Vibration and Vibration Control	en_US
utslib.for	0902 Automotive Engineering	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	50-51	en_US

Abstract:

This paper proposes a new uncertain analysis method for vehicle dynamics involving hybrid uncertainty parameters. The Polynomial Chaos (PC) theory that accounts for the random uncertainty is systematically integrated with the Chebyshev inclusion function theory that describes the interval uncertainty, to deliver a Polynomial-Chaos-Chebyshev-Interval (PCCI) method. The PCCI method is non-intrusive, because it does not require the amendment of the original solver for different and complicated dynamics problems. Two types of evaluation indexes are established: the first includes interval mean (IM) and interval variance (IV), and the second are the mean of lower bound (MLB), the variance of lower bound (VLB), the mean of upper bound (MUB) and the variance of upper bound (VUB). The Monte Carlo method is combined with the scanning method to produce the reference results, and then a 4-DOF vehicle roll plan model is employed to demonstrate the effectiveness of the proposed method for vehicle dynamics. © 2014 Elsevier Ltd. All rights reserved.

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http://hdl.handle.net/10453/33966