Hybrid uncertainties optimization using the orthogonal polynomials expansion

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

Hybrid uncertainties optimization using the orthogonal polynomials expansion

Wu, J

Luo, Z

Zhang, N

Zhang, Y

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Publication Type:: Conference Proceeding
Citation:: 8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, 2014, pp. 888 - 896
Issue Date:: 2014-01-01

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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 https://orcid.org/0000-0003-0059-5369	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, 2014, pp. 888 - 896	en_US
dc.identifier.isbn	9781922107350	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121387
dc.description.abstract	A new engineering design optimization method under uncertainties is proposed in this paper, in which both the random uncertainty and interval uncertainty are considered simultaneously. The evaluation functions (objective and constraints) are expanded with respect to the uncertain parameters by using the orthogonal polynomials. The Polynomial-Chaos-Chebyshev-Interval (PCCI) method is used to realize the expansion, which is able to settle the random uncertainty and interval uncertainty in an integral framework. The proposed hybrid uncertainty optimization will be compared with the traditional deterministic optimization and the random uncertainty optimization through a structure design optimization problem.	en_US
dc.relation.ispartof	8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Hybrid uncertainties optimization using the orthogonal polynomials expansion	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive 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

Abstract:

A new engineering design optimization method under uncertainties is proposed in this paper, in which both the random uncertainty and interval uncertainty are considered simultaneously. The evaluation functions (objective and constraints) are expanded with respect to the uncertain parameters by using the orthogonal polynomials. The Polynomial-Chaos-Chebyshev-Interval (PCCI) method is used to realize the expansion, which is able to settle the random uncertainty and interval uncertainty in an integral framework. The proposed hybrid uncertainty optimization will be compared with the traditional deterministic optimization and the random uncertainty optimization through a structure design optimization problem.

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http://hdl.handle.net/10453/121387