Boundary condition handling approaches for the model reduction of a vehicle frame

Xie, Q; Zhang, N; Zhang, B; Ji, J

Boundary condition handling approaches for the model reduction of a vehicle frame

Xie, Q Zhang, N

Zhang, B Ji, J

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Publication Type:: Journal Article
Citation:: Mechanical Systems and Signal Processing, 2016, 75 pp. 123 - 137
Issue Date:: 2016-06-15

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Field	Value	Language
dc.contributor.author	Xie, Q	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.contributor.author	Zhang, B	en_US
dc.contributor.author	Ji, J https://orcid.org/0000-0003-3280-5463	en_US
dc.date.issued	2016-06-15	en_US
dc.identifier.citation	Mechanical Systems and Signal Processing, 2016, 75 pp. 123 - 137	en_US
dc.identifier.issn	0888-3270	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122657
dc.description.abstract	© © 2016 Elsevier Ltd. All rights reserved. In order to apply model reduction technique to improve the computational efficiency for the large-scale FEM model of a vehicle, this paper presents the handling approaches for three widely-used boundary conditions, namely fixed boundary condition (FBC), prescribed motion (PSM) and coupling (COUP), respectively. It is found that iterated improved reduction system (IIRS) reduction method tends to generate better reduction approximation. Guyan method is not sensitive to the sequence of reduction and constraint under FBC, and can thus provide flexibility in handling different boundary conditions for the same system. As for PSM, 'constraint first' is recommended no matter which reduction method is used, and then separate reduction models can be coupled to form a new model with relative small dofs. By selecting appropriate master dofs for model reduction, the coupled model based on reduced models could produce same results as the original full one.	en_US
dc.relation.ispartof	Mechanical Systems and Signal Processing	en_US
dc.relation.isbasedon	10.1016/j.ymssp.2015.12.018	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Acoustics	en_US
dc.title	Boundary condition handling approaches for the model reduction of a vehicle frame	en_US
dc.type	Journal Article
utslib.citation.volume	75	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
utslib.for	0905 Civil 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	75	en_US

Abstract:

© © 2016 Elsevier Ltd. All rights reserved. In order to apply model reduction technique to improve the computational efficiency for the large-scale FEM model of a vehicle, this paper presents the handling approaches for three widely-used boundary conditions, namely fixed boundary condition (FBC), prescribed motion (PSM) and coupling (COUP), respectively. It is found that iterated improved reduction system (IIRS) reduction method tends to generate better reduction approximation. Guyan method is not sensitive to the sequence of reduction and constraint under FBC, and can thus provide flexibility in handling different boundary conditions for the same system. As for PSM, 'constraint first' is recommended no matter which reduction method is used, and then separate reduction models can be coupled to form a new model with relative small dofs. By selecting appropriate master dofs for model reduction, the coupled model based on reduced models could produce same results as the original full one.

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http://hdl.handle.net/10453/122657