Robust topology optimization for concurrent design of dynamic structures under hybrid uncertainties

Zheng, J; Luo, Z; Jiang, C; Gao, J

Robust topology optimization for concurrent design of dynamic structures under hybrid uncertainties

Zheng, J

Luo, Z

Jiang, C Gao, J

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Publication Type:: Journal Article
Citation:: Mechanical Systems and Signal Processing, 2019, 120 pp. 540 - 559
Issue Date:: 2019-04-01

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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	Jiang, C	en_US
dc.contributor.author	Gao, J https://orcid.org/0000-0002-4760-2768	en_US
dc.date.issued	2019-04-01	en_US
dc.identifier.citation	Mechanical Systems and Signal Processing, 2019, 120 pp. 540 - 559	en_US
dc.identifier.issn	0888-3270	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128655
dc.description.abstract	© 2018 Elsevier Ltd A new robust topology optimization method based on level sets is developed for the concurrent design of dynamic structures composed of uniform periodic microstructures subject to random and interval hybrid uncertainties. A Hybrid Dimensional Reduction (HDR) method is proposed to estimate the interval mean and the interval variance of the uncertain objective function based on a bivariate dimension reduction scheme. The robust objective function is defined as a weighted sum of the mean and standard variance of the dynamic compliance under the worst case. The sensitivity information of the robust objective function with respect to the macro and micro design variables can then be obtained after the uncertainty analysis. Several examples are used to validate the effectiveness of the proposed robust topology optimization method.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160102491
dc.relation.ispartof	Mechanical Systems and Signal Processing	en_US
dc.relation.isbasedon	10.1016/j.ymssp.2018.10.026	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Acoustics	en_US
dc.title	Robust topology optimization for concurrent design of dynamic structures under hybrid uncertainties	en_US
dc.type	Journal Article
utslib.citation.volume	120	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0905 Civil 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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	120	en_US

Abstract:

© 2018 Elsevier Ltd A new robust topology optimization method based on level sets is developed for the concurrent design of dynamic structures composed of uniform periodic microstructures subject to random and interval hybrid uncertainties. A Hybrid Dimensional Reduction (HDR) method is proposed to estimate the interval mean and the interval variance of the uncertain objective function based on a bivariate dimension reduction scheme. The robust objective function is defined as a weighted sum of the mean and standard variance of the dynamic compliance under the worst case. The sensitivity information of the robust objective function with respect to the macro and micro design variables can then be obtained after the uncertainty analysis. Several examples are used to validate the effectiveness of the proposed robust topology optimization method.

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http://hdl.handle.net/10453/128655