6σ Optimization Design of Ring-stiffened Composite Pressure Hull of Underwater Vehicle

doi:10.3969/j.issn.1000-1093.2018.06.018

Abstract

Abstract: In order to get a more reliable composite pressure hull structure of underwater vehicle, the effects of anisotropy and uncontrollable processing of composite materials on the structural performances should be taken into consideration. 6σ design is introduced into the optimization of ring-stiffened composite pressure hull. Monte Carlo sampling simulation is used for the reliability analysis of hull structure, and the reliability optimization design of pressure hull is conducted by taking sigma level as an evaluation index based on the radial basis function (RBF) neural network approximation model. The results show that, although the structural mass designed by 6σ optimization is 3.11 kg higher than that designed by deterministic optimization, the sigma levels of structural performance constraints are up to 8 and more, and the reliability reaches to 100%. Both structural mass and reliability are considered in the optimal design. The proposed optimization method of RBF approximation model-based 6σ design and reliability evaluation can be used for the accurate, efficient and reliable optimization of ring-stiffened composite pressure hull of underwater vehicle and solve the problem of low structural reliability due to variation of random factors. Key

Key words: underwatervehicle, compositematerial, ring-stiffenedpressurehull, MonteCarlosimulation, radialbasisfunctionneuralnetwork, 6σoptimizationdesign

CLC Number:

U661.43

LI Bin, PANG Yong-jie, ZHU Xiao-meng, CHENG Yan-xue. 6σ Optimization Design of Ring-stiffened Composite Pressure Hull of Underwater Vehicle[J]. Acta Armamentarii, 2018, 39(6): 1171-1177.

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第39卷第6期
2018 年6月兵工学报ACTA
ARMAMENTARIIVol.39No.6Jun.2018

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