Robust topology optimization for cellular composites with hybrid uncertainties

Zheng, J; Luo, Z; Li, H; Jiang, C

Robust topology optimization for cellular composites with hybrid uncertainties

Zheng, J

Luo, Z

Li, H

Jiang, C

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Publication Type:: Journal Article
Citation:: International Journal for Numerical Methods in Engineering, 2018, 115 (6), pp. 695 - 713
Issue Date:: 2018-08-10

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Field	Value	Language
dc.contributor.author	Zheng, J https://orcid.org/0000-0002-1480-3862	en_US
dc.contributor.author	Luo, Z https://orcid.org/0000-0002-6953-3986	en_US
dc.contributor.author	Li, H https://orcid.org/0000-0003-4295-1288	en_US
dc.contributor.author	Jiang, C	en_US
dc.date.available	2020-05-25T19:06:46Z
dc.date.issued	2018-08-10	en_US
dc.identifier.citation	International Journal for Numerical Methods in Engineering, 2018, 115 (6), pp. 695 - 713	en_US
dc.identifier.issn	0029-5981	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129723
dc.description.abstract	Copyright © 2018 John Wiley & Sons, Ltd. This paper will develop a new robust topology optimization method for the concurrent design of cellular composites with an array of identical microstructures subject to random-interval hybrid uncertainties. A concurrent topology optimization framework is formulated to optimize both the composite macrostructure and the material microstructure. The robust objective function is defined based on the interval mean and interval variance of the corresponding objective function. A new uncertain propagation approach, termed as a hybrid univariate dimension reduction method, is proposed to estimate the interval mean and variance. The sensitivity information of the robust objective function can be obtained after the uncertainty analysis. Several numerical examples are used to validate the effectiveness of the proposed robust topology optimization method.	en_US
dc.relation.ispartof	International Journal for Numerical Methods in Engineering	en_US
dc.relation.isbasedon	10.1002/nme.5821	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Applied Mathematics	en_US
dc.title	Robust topology optimization for cellular composites with hybrid uncertainties	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	115	en_US
utslib.for	091307 Numerical Modelling and Mechanical Characterisation	en_US
utslib.for	09 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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	115	en_US

Abstract:

Copyright © 2018 John Wiley & Sons, Ltd. This paper will develop a new robust topology optimization method for the concurrent design of cellular composites with an array of identical microstructures subject to random-interval hybrid uncertainties. A concurrent topology optimization framework is formulated to optimize both the composite macrostructure and the material microstructure. The robust objective function is defined based on the interval mean and interval variance of the corresponding objective function. A new uncertain propagation approach, termed as a hybrid univariate dimension reduction method, is proposed to estimate the interval mean and variance. The sensitivity information of the robust objective function can be obtained after the uncertainty analysis. Several numerical examples are used to validate the effectiveness of the proposed robust topology optimization method.

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http://hdl.handle.net/10453/129723