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Robust sizing optimization of stiffened panels subject to geometric imperfections using fully nonlinear postbuckling analyses
Citation Link: https://doi.org/10.15480/882.4749
Publikationstyp
Journal Article
Publikationsdatum
2022-06
Sprache
English
Enthalten in
Volume
175
Article Number
109195
Citation
Thin-Walled Structures 175: 109195 (2022-06)
Publisher DOI
Scopus ID
Publisher
Elsevier Science
This work presents a new approach for deterministic and robust thickness sizing optimization of a stiffened panel subject to geometric imperfections. Fully nonlinear pre- and postbuckling analyses determine time-dependent reaction forces using the backward Euler integration method. The global buckling resistance is optimized by maximizing the sum of reaction forces in the pre- and postbuckling regions without the necessity to directly evaluate the buckling point. The robust design optimizations consider geometric imperfections as parametrized random fields using an approach based on Fourier series. The first-order second-moment method (FOSM) determines the mean and the variance of the objective function in each optimization iteration. Monte Carlo simulations validate the FOSM approach for the present optimization formulation. The robust optimized designs show significantly increased buckling loads and robustness compared to the initial design and deterministically optimized designs even for the deterministic use case.
Schlagworte
FOSM
Manufacturing uncertainty
Nonlinear postbuckling analysis
Robust design optimization
Shell structure
Sizing optimization
Taylor series approach
DDC Class
530: Physik
600: Technik
620: Ingenieurwissenschaften
Publication version
acceptedVersion
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Robust sizing optimization of stiffened panels - accepted version.pdf
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7.42 MB
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