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Structural and Multidisciplinary Optimization

Erschienen in:

01.05.2013 | Research Paper

On robust design optimization of truss structures with bounded uncertainties

verfasst von: Zhan Kang, Song Bai

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 5/2013

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Abstract

This paper investigates robust design optimization of truss structures with uncertain-but-bounded parameters and loads. The variations of the cross-sectional areas, Young’s moduli and applied loads are treated with non-probabilistic ellipsoid convex models. A robustness index for quantitatively measuring the maximal allowable magnitude of system variations is presented, and the design problem is then formulated as to maximize the minimum of the robustness indices for all the concerned design requirements under a given material volume constraint. For circumventing the difficulty associated with the max-min type problem, an aggregate function technique is employed to construct a smooth objective function. The computational scheme for the sensitivity of the robustness index is derived on the basis of optimum sensitivity analysis. The optimization problem is then solved by using the GCMMA optimizer. Numerical examples illustrate the validity and effectiveness of the present formulation and solution techniques.

Vorheriger Artikel A method for shape and topology optimization of truss-like structure

Nächster Artikel A gradient-based transformation method in multidisciplinary design optimization

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Titel: On robust design optimization of truss structures with bounded uncertainties
verfasst von: Zhan Kang
Song Bai
Publikationsdatum: 01.05.2013
Verlag: Springer-Verlag
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 5/2013
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-012-0868-3

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