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A general framework for robust topology optimization under load-uncertainty including stress constraints
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.
Saab AB, Linkoping, Sweden.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8460-0131
2017 (English)In: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 319Article in journal (Refereed) Published
Abstract [en]

We present a worst-case approach for topology optimization under load-uncertainty based on a general problem formulation involving maxima of quadratic functions of an uncertain load vector as both objective and constraints. The problem is reformulated as a non-linear semi-definite program which can be solved efficiently. An important special case of the general problem formulation is worst-case compliance minimization under worst-case stress constraints which is illustrated by numerical examples. (C) 2017 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE SA , 2017. Vol. 319
Keyword [en]
Topology optimization; Robustness; Load-uncertainty; Stress constraints; Non-linear semi-definite programming
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-138224DOI: 10.1016/j.cma.2017.02.015ISI: 000401398800001OAI: oai:DiVA.org:liu-138224DiVA: diva2:1109398
Note

Funding Agencies|Swedish Foundation for Strategic Research Grant [AM13-0029]

Available from: 2017-06-14 Created: 2017-06-14 Last updated: 2017-06-14

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Thore, Carl-JohanKlarbring, Anders
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