Surrogate-based optimization of stiffened shells including load-carrying capacity and imperfection sensitivity

Hao, Peng; Wang, Bo; Li, Gang; Tian, Kuo; Du, Kaifan; Wang, Xiaojun; Tang, Xiaohan

doi:10.1016/j.tws.2013.06.004

Cited by 45 publications

(11 citation statements)

References 34 publications

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“…those in Hao et al [17]. Since the structural parameters and material elastic properties of S1 and S2 were identical, the linear buckling loads of the two shells were equal.…”

Section: Load-carrying Capacity Of Perfect Geometrymentioning

confidence: 84%

“…Two orthogrid stiffened shells (named S1 and S2) were established in this study, whose dimensions were identical to those in Hao et al [17], and which are shown in Table 1 and Figure 2. Typical material elastic properties applied for the aluminum alloy being used in the model are: Young's modulus E=70 GPa, Poisson's ratio υ=0.33, and density ρ=2.7×10 -6 kg/mm 3 .…”

Section: Load-carrying Capacity Of Perfect Geometrymentioning

confidence: 87%

“…Motivated by research in the field of biology [14], Wang et al [15] proposed a concept of hierarchical stiffened shells to restrict the developments of out-of-plane deformations caused by imperfections. Hrinda [16] found that a cylindrical shell with a concave hyperbolic imperfection has a larger buckling load than that for the perfect cylinder, and stiffened shells with a convex hyperbolic generatrix shape were proven to be less sensitive to eigenmode-shape imperfections by Hao et al [17]. Moreover, the load-carrying capacities and imperfection sensitivities of cylindrical shells with different geometries were compared in detail by Tomás and Tovar [18].…”

Section: Introductionmentioning

confidence: 99%

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Generatrix shape optimization of stiffened shells for low imperfection sensitivity

Wang

Hao

et al. 2014

Sci. China Technol. Sci.

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According to previous studies, stiffened shells with convex hyperbolic generatrix shape are less sensitive to imperfections. In this study, the effects of generatrix shape on the performances of elastic and plastic buckling in stiffened shells are investigated. Then, a more general description of generatrix shape is proposed, which can simply be expressed as a convex B-spline curve (controlled by four key points). An optimization framework of stiffened shells with a convex B-spline generatrix is established, with optimization objective being measured in terms of nominal collapse load, which can be expressed as a weighted sum of geometrically imperfect shells. The effectiveness of the proposed framework is demonstrated by a detailed comparison of the optimum designs for the B-spline and hyperbolic generatrix shapes. The decrease of imperfection sensitivity allows for a significant weight saving, which is particularly important in the development of future heavy-lift launch vehicles. stiffened shell, collapse, imperfection sensitivity, generatrix shape, optimization Citation:Wang B, Hao P, Li G, et al. Generatrix shape optimization of stiffened shells for low imperfection sensitivity.

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“…those in Hao et al [17]. Since the structural parameters and material elastic properties of S1 and S2 were identical, the linear buckling loads of the two shells were equal.…”

Section: Load-carrying Capacity Of Perfect Geometrymentioning

confidence: 84%

Section: Load-carrying Capacity Of Perfect Geometrymentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generatrix shape optimization of stiffened shells for low imperfection sensitivity

Wang

Hao

et al. 2014

Sci. China Technol. Sci.

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“…Hao et al. 6 applied surrogate models to optimize the stiffened shells. Different to the existing studies, two candidate materials are provided in this paper and the load condition is changing with the operation depth.…”

Section: Introductionmentioning

confidence: 99%

Optimization of composite ring stiffened cylindrical hulls for unmanned underwater vehicles using multi-island genetic algorithm

Song

Lyu

Jiang

2018

Journal of Reinforced Plastics and Composites

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The usage of composite material helps reducing structure’s weight in many conditions. In this paper, The Composite Ring Stiffened Cylindrical Hulls used by Unmanned Underwater Vehicles is optimized in various depths. The optimization aims to reducing the weight of the composite ring stiffened cylindrical hulls. Two candidate composite materials, T700/Epoxy and B(4)5505/Epoxy, are chosen to form the outer shell and stiffeners. Number and shape of the stiffeners, ply angles, and the number of the plies are considered. The Multi-Island Genetic Algorithm (MIGA) is performed in MATLAB and a new two-step method is proposed in crossover operations. ANSYS parametric design language is integrated in optimization procedure to ensure the acceptance of the optimal result. The results reveal that the proposed two-step method for multi-island genetic algorithm is efficiency and robust in reducing the weight of the composite ring stiffened cylindrical hulls. The weight for optimized composite ring stiffened cylindrical hulls with T700/Epoxy shells and B(4)5505/Epoxy stiffeners is 10.5% lighter than that with single composite material when the operating depth is 200 m.

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“…Bisagni and Cordisco [31] described experimental data obtained from buckling and post-buckling tests on three stiffened composite cylindrical shells under combined loadings performed until collapse occurred. The framework of surrogate-based optimization including load-carrying capacity and imperfection sensitivity for stiffened shells is proposed by Hao et al [32].…”

Section: Introductionmentioning

confidence: 99%

Optimization of cylindrical shells stiffened by rings under external pressure including their post-buckling behaviour

Foryś

2015

Thin-Walled Structures

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Surrogate-based optimization of stiffened shells including load-carrying capacity and imperfection sensitivity

Cited by 45 publications

References 34 publications

Generatrix shape optimization of stiffened shells for low imperfection sensitivity

Generatrix shape optimization of stiffened shells for low imperfection sensitivity

Optimization of composite ring stiffened cylindrical hulls for unmanned underwater vehicles using multi-island genetic algorithm

Optimization of cylindrical shells stiffened by rings under external pressure including their post-buckling behaviour

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