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Structural and Multidisciplinary Optimization

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05.04.2019 | Industrial Application

Improved reliability-based design optimization of non-uniformly stiffened spherical dome

verfasst von: Yangfan Li, Yutian Wang, Rui Ma, Peng Hao

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 1/2019

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Abstract

To resist external pressure, stiffened spherical domes have been widely used in underwater vehicles. In traditional design of these thin-walled structures, uniform stiffeners are usually utilized and overly conservative safety factor method is employed to envelop the multi-source uncertainties mainly caused by manufacturing. In this study, a concept of non-uniformly stiffened spherical dome (NUSPD) is developed to improve the structural buckling capacity. Furthermore, an efficient reliability-based design optimization (RBDO) framework is established for NUSPD, which includes a deterministic optimization loop to fix the stiffener layout, and subsequently followed by a RBDO loop to determine the detailed stiffener dimensions and decrease the structural weight under geometric and material property uncertainties. Since the RBDO of stiffened spherical domes is very complex, an improved enhanced chaos control method together with surrogate model is proposed to improve the convergence rate. Finally, the efficiency of the proposed RBDO framework is demonstrated by the NUSPD example.

Vorheriger Artikel Gauge sensitivity analysis and optimization of the modular automotive body with different loadings

Nächster Artikel Note on spatial gradient operators and gradient-based minimum length constraints in SIMP topology optimization

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Titel: Improved reliability-based design optimization of non-uniformly stiffened spherical dome
verfasst von: Yangfan Li
Yutian Wang
Rui Ma
Peng Hao
Publikationsdatum: 05.04.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 1/2019
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-019-02213-x

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