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On non-parametric fatigue optimization
Citation Link: https://doi.org/10.15480/882.4855
Publikationstyp
Journal Article
Date Issued
2023-03-15
Sprache
English
Institut
TORE-DOI
Volume
124
Issue
5
Start Page
1168
End Page
1192
Citation
International Journal for Numerical Methods in Engineering 124 (5): 1168-1192 (2023-03-15)
Publisher DOI
Scopus ID
Publisher
Wiley
The present work presents a novel approach for semi-analytic adjoint sensitivity-based design optimization for nonproportional fatigue damage. In order to apply fatigue damage in sensitivity-based design optimizations, an essential part is to calculate correct sensitivities. However, this is not straight forward since fatigue damage calculation typically include rainflow counting and critical plane search algorithms. Therefore, no derivatives are directly available for the fatigue damage calculation, only functional values given by numerical computation. In existing literature the considered fatigue damage calculation is simplified until a closed-form differentiability is satisfied. However, these simplifications are not applicable for industrial examples where accurate fatigue life estimates are required. In the present work numerical differentiation of the fatigue damage values with respect to the stress tensor is applied to calculate semi-analytical adjoint sensitivities at material points for multiple load cases. The proposed method is verified and demonstrated using different damage parameter types including critical plane analysis. Additionally, different academic and industrial numerical examples are compared to stress and stiffness optimized designs. The fatigue damage optimized designs show improved fatigue damage results for both the specific damage parameter types and when comparing to stress and stiffness optimized designs. Furthermore, it is successfully applied for different design variables (sizing, nonparametric shape and bead) as well as different optimization formulations using fatigue damage either as objective or constraint.
Subjects
critical planes
damage parameters
fatigue damage
nonparametric optimization
rainflow counting
semi-analytical adjoint sensitivities
DDC Class
600: Technik
620: Ingenieurwissenschaften
Publication version
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Numerical Meth Engineering - 2022 - Sartorti - On non‐parametric fatigue optimization.pdf
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