基于代理模型的翼身融合水下滑翔机外形优化设计

Translated title of the contribution: Surrogate based blended-wing-body underwater glider shape optimization design

Pengcheng Ye, Congcong Wang, Guang Pan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In order to improve the design quality and optimization efficiency for blended-wing-body underwater glider(BWBUG) shape design optimization problems, a surrogate-based blended-wing-body underwater glider shape optimization(SBUGSO) framework is proposed. The aim is to maximize the lift to drag ratio(LDR) of BWBUG with the constrain that the displacement volume of the optimal shape is larger than that of the initial shape. The LDR of the optimal BWBUG is improved by 24.32% with acceptable computational resources. The optimization results show that the present SBUGSO framework can efficiently decrease the computational resource, and improve the hydrodynamic performance and loading capacity of BWBUG. Comparing with the other optimization algorithms, SBUGSO framework shows the significant superiority.

Translated title of the contributionSurrogate based blended-wing-body underwater glider shape optimization design
Original languageChinese (Traditional)
Pages (from-to)85-92
Number of pages8
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume39
Issue number1
DOIs
StatePublished - Feb 2021

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