Surrogate-Based Shape Optimization of an Underwater Glider via Airfoil Design

2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES) Pub Date : 2017-10-01 DOI:10.1109/DCABES.2017.51

Chengshan Li, Peng Wang, Xinjing Wang

引用次数: 0

Abstract

This paper proposes a shape optimization method for blended-wing-body underwater gliders (BWBUG). First, three crucial airfoil sections are selected from the BWBUG in this paper. Next, these airfoils are parameterized with Class-Shape function Transformation (CST). And then, the airfoils are optimized by a surrogate-based method along with CFD-based simulations. Besides, a parallel adaptive sequential sampling method is also applied. Finally, the shape of the optimized underwater glider is generated with the optimized airfoil sections. Results show that the lift-to-drag ratio of optimized shape gets improved

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基于翼型设计的水下滑翔机外形优化

提出了一种翼体混合水下滑翔机的形状优化方法。首先，三个关键翼型部分是选择从BWBUG在这篇论文。接下来，这些翼型是参数化与类形状函数变换(CST)。在此基础上，采用基于cfd的仿真方法对翼型进行了优化设计。此外，还采用了一种并行自适应顺序采样方法。最后，利用优化后的翼型截面生成了优化后的水下滑翔机形状。结果表明，优化后的升阻比得到改善

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)

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