Ful1-parameters shape optimization design for blended-wing-body underwater gliders

Xinkai Yu, Peng Wang, Huachao Dong

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

Abstract

This paper presents a novel shape optimization design method for blended-wing-body underwater gliders (BWBUGs), where a geometric parameterization method is proposed to generate design variables and the lift-to-drag ratio of the BWBUG is maximized. In this strategy, the shape parameters of BWBUGs are divided into section shape parameters and plane shape parameters. Then an efficient Kriging-based constrained optimization method (SCGOSR) is employed to optimize the two different shape parameters and the performance of these parameters in the two parts are further analyzed. The results show that the lift-to-drag ratio of the optimized BWBUG has been increased by 4.4226% and 2.4564%, respectively. Obviously the cross-sectional shape parameters have a greater impact on the performance of the BWBUGs.

Original languageEnglish
Title of host publicationProceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages274-280
Number of pages7
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
  • Kriging based optimization
  • Lift-to-drag ratio
  • Shape optimization

Fingerprint

Dive into the research topics of 'Ful1-parameters shape optimization design for blended-wing-body underwater gliders'. Together they form a unique fingerprint.

Cite this