Design optimization for A Cabin-Skeleton Coupling Structure of Blended-wing-body Underwater Glider

Yijin Zhang, Peng Wang, Huachao Dong, Xinkai Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to the special shape of a blended-wing-body underwater glider (BWBUG), the cabin-skeleton coupling structure including a pressure cabin structure and a skeleton structure is designed in its internal space, which plays a role of support and pressure resistance. Based on fixed BWB shape parameters, firstly, the pressure cabin structure and skeleton structure were parametrically modeled. Next, finite element analysis (FEA) was conducted for the coupling structure in the hanging before entering the water and deepwater pressure conditions respectively, mainly analyzing the strength, stiffness, and stability. Then, the maximum buoyancy-weight ratio is used as the target, besides, the specific indicators for the obtained strength, stiffness, and stability are used as constraints. Finally, a surrogate-based constrained global optimization algorithm (SCGOSR) is adopted to optimize the coupling structure. After the optimization, the buoyancy-weight ratio is increased by about 43%, and a satisfactory cabin-skeleton coupling structure is obtained.

Original languageEnglish
Title of host publicationProceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages189-194
Number of pages6
ISBN (Electronic)9781728180250
DOIs
StatePublished - 27 Nov 2020
Event3rd International Conference on Unmanned Systems, ICUS 2020 - Harbin, China
Duration: 27 Nov 202028 Nov 2020

Publication series

NameProceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020

Conference

Conference3rd International Conference on Unmanned Systems, ICUS 2020
Country/TerritoryChina
CityHarbin
Period27/11/2028/11/20

Keywords

  • Blended-wing-body underwater glider
  • Cabin-skeleton coupling structure
  • Finite element analysis
  • Parametric design
  • Surrogate-based optimization

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