Design of multiscale composites using robust topology optimization of level sets

Zheng, J; Luo, Z; Jiang, C

Design of multiscale composites using robust topology optimization of level sets

Zheng, J Luo, Z

Jiang, C

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, 2020, pp. 2060-2063
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Zheng, J
dc.contributor.author	Luo, Z https://orcid.org/0000-0002-6953-3986
dc.contributor.author	Jiang, C
dc.date.accessioned	2021-06-03T03:38:57Z
dc.date.available	2021-06-03T03:38:57Z
dc.date.issued	2020-01-01
dc.identifier.citation	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, 2020, pp. 2060-2063
dc.identifier.isbn	9789811127243
dc.identifier.uri	http://hdl.handle.net/10453/149387
dc.description.abstract	Most topology optimization methods are focused on structures with solid materials. Inspired by natural porous materials, topology optimization can be explored to concurrently optimize micro material distributions and the macro composite structure to achieve the desired performance. Under random and interval hybrid uncertainties, a robust topology optimization method based on level sets is then developed for the concurrent design of multiscale cellular composites. Both the topology of the representative microstructure and the topology of the macro composite structure are optimized. The robust objective function is defined as a weighted sum of the mean and standard variance of the objective function, e.g. structural compliance, under the worst case. The hybrid univariate dimension reduction method is used to estimate the interval mean and standard variance. The sensitivities of the robust objective function can be obtained after the hybrid uncertainty analysis. A benchmark numerical example is used to showcase the effectiveness of this method.
dc.language	en
dc.relation.ispartof	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019
dc.relation.isbasedon	10.3850/978-981-11-2724-3-1064-cd
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Design of multiscale composites using robust topology optimization of level sets
dc.type	Conference Proceeding
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	recently_added	*
dc.date.updated	2021-06-03T03:38:56Z
pubs.publication-status	Published

Abstract:

Most topology optimization methods are focused on structures with solid materials. Inspired by natural porous materials, topology optimization can be explored to concurrently optimize micro material distributions and the macro composite structure to achieve the desired performance. Under random and interval hybrid uncertainties, a robust topology optimization method based on level sets is then developed for the concurrent design of multiscale cellular composites. Both the topology of the representative microstructure and the topology of the macro composite structure are optimized. The robust objective function is defined as a weighted sum of the mean and standard variance of the objective function, e.g. structural compliance, under the worst case. The hybrid univariate dimension reduction method is used to estimate the interval mean and standard variance. The sensitivities of the robust objective function can be obtained after the hybrid uncertainty analysis. A benchmark numerical example is used to showcase the effectiveness of this method.

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http://hdl.handle.net/10453/149387