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An evolution-based high-cycle fatigue constraint in topology optimization
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2018 (English)In: Proceedings of the 6th International Conference on Engineering Optimization – EngOpt 2018, 2018, p. 844-854Conference paper, Published paper (Refereed)
Abstract [en]

We develop a topology optimization method including high-cycle fatigue as a constraint. The fatigue model is based on a continuous-time approach, which uses the concept of a moving endurance surface as a function of the stress history and back stress evolution. The development of damage only occurs when the stress state lies outside the endurance surface. Furthermore, an aggregation function, which approximates the maximum fatigue damage, is implemented. As the optimization workflow is sensitivity-based, the fatigue sensitivities are determined using an adjoint sensitivity analysis. The capabilities of the presented approach are tested on numerical models where the problem is to maximize the stiffness subject to high-cycle fatigue constraints.

Place, publisher, year, edition, pages
2018. p. 844-854
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:miun:diva-48685DOI: 10.1007/978-3-319-97773-7_73OAI: oai:DiVA.org:miun-48685DiVA, id: diva2:1776491
Conference
6th International Conference on Engineering Optimization – EngOpt 2018
Available from: 2023-06-28 Created: 2023-06-28 Last updated: 2023-08-31Bibliographically approved

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Lindström, S.B.

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Applied Mechanics

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CiteExportLink to record
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  • apa
  • ieee
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  • de-DE
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