Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters
A Collaborative Optimization (CO) methodology for ring-stiffened composite material pressure hull of underwater vehicle is proposed. Structural stability and material strength are both examined. Lamination parameters of laminated plates are introduced to improve the optimization efficiency. Approxim...
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doaj-68482cc30ef94ec486815f8badbae8d22020-11-24T23:15:58ZengElsevierInternational Journal of Naval Architecture and Ocean Engineering2092-67822017-07-019437338110.1016/j.ijnaoe.2016.09.009Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parametersBin Li0Yong-jie Pang1Yan-xue Cheng2Xiao-meng Zhu3Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, ChinaScience and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, ChinaScience and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin, 150001, ChinaA Collaborative Optimization (CO) methodology for ring-stiffened composite material pressure hull of underwater vehicle is proposed. Structural stability and material strength are both examined. Lamination parameters of laminated plates are introduced to improve the optimization efficiency. Approximation models are established based on the Ellipsoidal Basis Function (EBF) neural network to replace the finite element analysis in layout optimizers. On the basis of a two-level optimization, the simultaneous structure material collaborative optimization for the pressure vessel is implemented. The optimal configuration of metal liner and frames and composite material is obtained with the comprehensive consideration of structure and material performances. The weight of the composite pressure hull decreases by 30.3% after optimization and the validation is carried out. Collaborative optimization based on the lamination parameters can optimize the composite pressure hull effectively, as well as provide a solution for low efficiency and non-convergence of direct optimization with design variables.http://www.sciencedirect.com/science/article/pii/S2092678216305064Underwater vehicleComposite materialRing-stiffened pressure hullLamination parametersCollaborative optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bin Li Yong-jie Pang Yan-xue Cheng Xiao-meng Zhu |
spellingShingle |
Bin Li Yong-jie Pang Yan-xue Cheng Xiao-meng Zhu Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters International Journal of Naval Architecture and Ocean Engineering Underwater vehicle Composite material Ring-stiffened pressure hull Lamination parameters Collaborative optimization |
author_facet |
Bin Li Yong-jie Pang Yan-xue Cheng Xiao-meng Zhu |
author_sort |
Bin Li |
title |
Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters |
title_short |
Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters |
title_full |
Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters |
title_fullStr |
Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters |
title_full_unstemmed |
Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters |
title_sort |
collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters |
publisher |
Elsevier |
series |
International Journal of Naval Architecture and Ocean Engineering |
issn |
2092-6782 |
publishDate |
2017-07-01 |
description |
A Collaborative Optimization (CO) methodology for ring-stiffened composite material pressure hull of underwater vehicle is proposed. Structural stability and material strength are both examined. Lamination parameters of laminated plates are introduced to improve the optimization efficiency. Approximation models are established based on the Ellipsoidal Basis Function (EBF) neural network to replace the finite element analysis in layout optimizers. On the basis of a two-level optimization, the simultaneous structure material collaborative optimization for the pressure vessel is implemented. The optimal configuration of metal liner and frames and composite material is obtained with the comprehensive consideration of structure and material performances. The weight of the composite pressure hull decreases by 30.3% after optimization and the validation is carried out. Collaborative optimization based on the lamination parameters can optimize the composite pressure hull effectively, as well as provide a solution for low efficiency and non-convergence of direct optimization with design variables. |
topic |
Underwater vehicle Composite material Ring-stiffened pressure hull Lamination parameters Collaborative optimization |
url |
http://www.sciencedirect.com/science/article/pii/S2092678216305064 |
work_keys_str_mv |
AT binli collaborativeoptimizationforringstiffenedcompositepressurehullofunderwatervehiclebasedonlaminationparameters AT yongjiepang collaborativeoptimizationforringstiffenedcompositepressurehullofunderwatervehiclebasedonlaminationparameters AT yanxuecheng collaborativeoptimizationforringstiffenedcompositepressurehullofunderwatervehiclebasedonlaminationparameters AT xiaomengzhu collaborativeoptimizationforringstiffenedcompositepressurehullofunderwatervehiclebasedonlaminationparameters |
_version_ |
1725588607949864960 |