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Topology optimization for fatigue reserve factors

Citation Link: https://doi.org/10.15480/882.13408
Publikationstyp
Journal Article
Date Issued
2024-08-07
Sprache
English
Author(s)
Sartorti, Roman  orcid-logo
Konstruktion und Festigkeit von Schiffen M-10  
Kriegesmann, Benedikt  orcid-logo
Strukturmechanik im Leichtbau M-24  
Hawla, David
Pedersen, Claus B.W.  
TORE-DOI
10.15480/882.13408
TORE-URI
https://hdl.handle.net/11420/49433
Journal
Structural and multidisciplinary optimization  
Volume
67
Issue
8
Article Number
141
Citation
Structural and Multidisciplinary Optimization 67 (8): 141 (2024)
Publisher DOI
10.1007/s00158-024-03849-0
Scopus ID
2-s2.0-85200681137
Publisher
Springer
This paper describes a topology optimization approach that applies the common fatigue analysis practices of rainflow cycle counting and critical plane searches to cover both proportional and non-proportional fatigue loading conditions of metals. The existing literature on topology optimization has so far mainly considered fatigue damage under proportional loading conditions and typically uses continuous damage models to avoid the discontinuous nature of fatigue rainflow cycle counting and critical plane searches. Furthermore, previous publications often introduced heuristic schemes to scale the fatigue damage and set the move limits for the design variables rather low to avoid oscillations in the design variables and damage responses during the optimization iterations, because fatigue damage is typically highly localized. Therefore, these approaches cause many optimization iterations. Contrarily, our present approach applies the fatigue reserve factor (FRF) directly in the optimization formulation instead of the fatigue damage where FRF is a fatigue reserve factor for infinite fatigue life. The inverse FRF scales nearly linearly with the stresses. Therefore, the present approach needs no heuristic scaling for the fatigue topology optimization. The numerical implementation applies the semi-analytic adjoint sensitivity method for multiple load cases. Numerically, FRF shows more stable optimization convergence using less optimization iterations. Different FRF topology-optimized designs for a variety of fatigue damage types are validated and compared. Additionally, the optimized FRF designs are compared to both strictly stiffness optimized designs and stress strength optimized designs.
Subjects
Fatigue reserve factor
Semi-analytic adjoint sensitivities
Strength optimization
Topology optimization
DDC Class
620.11: Engineering Materials
519: Applied Mathematics, Probabilities
Funding(s)
Projekt DEAL  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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