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Non-proportional high-cycle fatigue-constrained gradient-based topology optimization using a continuous-time model
INTES Ingenieurgesellsch Tech Software GmbH, Germany.
Mid Sweden Univ, Sweden.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8460-0131
Lund Univ, Sweden.
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2025 (English)In: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 435, article id 117594Article in journal (Refereed) Published
Abstract [en]

An incremental high-cycle fatigue damage model is combined with topology optimization to design structures subject to non-proportional loads. The optimization aims to minimize the mass under compliance and fatigue constraints. The fatigue model is based on the concept of an evolving endurance surface and a system of ordinary differential equations that model the local fatigue damage evolution. A recent model extension that uses a quadratic polynomial endurance function to enhance the accuracy and extrapolation capabilities, especially for non-proportional loads, is used. To enable computationally efficient design updates, an adjoint sensitivity analysis that is consistent with the state solution, requiring only a few linear solves involving the stiffness matrix is derived. Furthermore, a new compliance constraint is developed for uncorrelated, stochastic force components to take worst-case force combinations into account. Numerical examples in both 2D and 3D demonstrate that the proposed framework is able to design structures subject to non-proportional loads.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE SA , 2025. Vol. 435, article id 117594
Keywords [en]
Topology optimization; High-cycle fatigue; Non-proportional loads; Incremental fatigue model
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:liu:diva-210625DOI: 10.1016/j.cma.2024.117594ISI: 001385872900001Scopus ID: 2-s2.0-85211318736OAI: oai:DiVA.org:liu-210625DiVA, id: diva2:1925102
Note

Funding Agencies|Sweden's Innovation Agency [2016-05175]

Available from: 2025-01-08 Created: 2025-01-08 Last updated: 2025-01-08

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  • de-DE
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Output format
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