Surrogate based blended-wing-body underwater glider shape optimization design
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(...
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The Northwestern Polytechnical University
2021-02-01
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doaj-2493db517b3e4142b28a95ec94143f782021-05-03T04:49:57ZzhoThe Northwestern Polytechnical UniversityXibei Gongye Daxue Xuebao1000-27582609-71252021-02-01391859210.1051/jnwpu/20213910085jnwpu2021391p85Surrogate based blended-wing-body underwater glider shape optimization design0Luoyang Institute of Electro-Optical Equipment, Aviation Industry Corporation of ChinaIn 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.https://www.jnwpu.org/articles/jnwpu/full_html/2021/01/jnwpu2021391p85/jnwpu2021391p85.htmlunderwater gliderblended wing bodysurrogate modelshape optimization designlift to drag ratio |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
title |
Surrogate based blended-wing-body underwater glider shape optimization design |
spellingShingle |
Surrogate based blended-wing-body underwater glider shape optimization design Xibei Gongye Daxue Xuebao underwater glider blended wing body surrogate model shape optimization design lift to drag ratio |
title_short |
Surrogate based blended-wing-body underwater glider shape optimization design |
title_full |
Surrogate based blended-wing-body underwater glider shape optimization design |
title_fullStr |
Surrogate based blended-wing-body underwater glider shape optimization design |
title_full_unstemmed |
Surrogate based blended-wing-body underwater glider shape optimization design |
title_sort |
surrogate based blended-wing-body underwater glider shape optimization design |
publisher |
The Northwestern Polytechnical University |
series |
Xibei Gongye Daxue Xuebao |
issn |
1000-2758 2609-7125 |
publishDate |
2021-02-01 |
description |
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. |
topic |
underwater glider blended wing body surrogate model shape optimization design lift to drag ratio |
url |
https://www.jnwpu.org/articles/jnwpu/full_html/2021/01/jnwpu2021391p85/jnwpu2021391p85.html |
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1721483509460107264 |