Topology optimization of metal and carbon fiber reinforced plastic (CFRP) structures under loading uncertainties

Gao, Y; Xu, Y; Wu, C; Fang, J

Topology optimization of metal and carbon fiber reinforced plastic (CFRP) structures under loading uncertainties

Gao, Y Xu, Y Wu, C Fang, J

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Publisher:: SAE International
Publication Type:: Journal Article
Citation:: SAE Technical Papers, 2019, 2019-April, (April)
Issue Date:: 2019-04-02

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Field	Value	Language
dc.contributor.author	Gao, Y
dc.contributor.author	Xu, Y
dc.contributor.author	Wu, C
dc.contributor.author	Fang, J https://orcid.org/0000-0003-0119-6108
dc.date.accessioned	2020-06-01T06:31:11Z
dc.date.available	2020-06-01T06:31:11Z
dc.date.issued	2019-04-02
dc.identifier.citation	SAE Technical Papers, 2019, 2019-April, (April)
dc.identifier.issn	0148-7191
dc.identifier.issn	0148-7191
dc.identifier.uri	http://hdl.handle.net/10453/141025
dc.description.abstract	© 2019 SAE International. All Rights Reserved. Carbon fiber reinforced plastic (CFRP) composite materials have gained particular interests due to their high specific modulus, high strength, lightweight and perfect corrosion resistance. However, in reality, CFRP composite materials cannot be used alone in some critical places such as positions of joints with hinges, locks. Therefore, metal reinforcements are usually necessary in local positions to prevent structure damage. Besides, if uncertainties present, obtained optimal structures may experience in failures as the optimization usually pushes solutions to the boundaries of constraints and has no room for tolerance and uncertainties, so robust optimization should be considered to accommodate the uncertainties in practice. This paper proposes a mixed topology method to optimize metal and carbon fiber reinforced plastic composite materials simultaneously under nondeterministic load with random magnitude and direction. A joint cost function is employed to contain both the mean and standard deviations of compliance in the robust optimization. The sensitivities of the cost function are derived with respect to the design variables in a nondeterministic context. The discrete material and thickness optimization (DMTO) technique is applied to undertake robust topology optimization for CFRP composites and metal material while the casting constraint to prevent intermediate void was introduced. In this study, two examples are presented to demonstrate the effectiveness of the proposed methods. The robust topology optimization results exhibit that the composite structures with proper distribution of materials and orientations are of more stable performance when the load fluctuates.
dc.language	en
dc.publisher	SAE International
dc.relation.ispartof	SAE Technical Papers
dc.relation.isbasedon	10.4271/2019-01-0709
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0902 Automotive Engineering, 0910 Manufacturing Engineering
dc.title	Topology optimization of metal and carbon fiber reinforced plastic (CFRP) structures under loading uncertainties
dc.type	Journal Article
utslib.citation.volume	2019-April
utslib.for	0902 Automotive Engineering
utslib.for	0910 Manufacturing Engineering
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 Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-06-01T06:31:06Z
pubs.issue	April
pubs.publication-status	Published
pubs.volume	2019-April
utslib.citation.issue	April

Abstract:

© 2019 SAE International. All Rights Reserved. Carbon fiber reinforced plastic (CFRP) composite materials have gained particular interests due to their high specific modulus, high strength, lightweight and perfect corrosion resistance. However, in reality, CFRP composite materials cannot be used alone in some critical places such as positions of joints with hinges, locks. Therefore, metal reinforcements are usually necessary in local positions to prevent structure damage. Besides, if uncertainties present, obtained optimal structures may experience in failures as the optimization usually pushes solutions to the boundaries of constraints and has no room for tolerance and uncertainties, so robust optimization should be considered to accommodate the uncertainties in practice. This paper proposes a mixed topology method to optimize metal and carbon fiber reinforced plastic composite materials simultaneously under nondeterministic load with random magnitude and direction. A joint cost function is employed to contain both the mean and standard deviations of compliance in the robust optimization. The sensitivities of the cost function are derived with respect to the design variables in a nondeterministic context. The discrete material and thickness optimization (DMTO) technique is applied to undertake robust topology optimization for CFRP composites and metal material while the casting constraint to prevent intermediate void was introduced. In this study, two examples are presented to demonstrate the effectiveness of the proposed methods. The robust topology optimization results exhibit that the composite structures with proper distribution of materials and orientations are of more stable performance when the load fluctuates.

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http://hdl.handle.net/10453/141025