Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm

被引：0
|
作者：
He W. [1 ]
Su J. [1 ]
Zhou D. [1 ]
Han Z. [1 ,2 ]
Bao Y. [1 ]
Zhao Y. [1 ,2 ]
Xu Y. [1 ]
Tu J. [3 ]
机构：
[1] School of Naval Architecture, Ocean and Civil Engineering, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai
[2] Institute of Polar and Ocean Technology, Institute of Marine Equipment, Shanghai Jiao Tong University, Shanghai
[3] College of Civil Engineering and Mechanics, Xiangtan University, Hunan, Xiangtan
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2023年 / 57卷 / 02期
关键词：
bidirectional evolutionary structural optimization (BESO) algorithm; dynamic response; vertical axis wind turbine; vibration reduction;
D O I：
10.16183/j.cnki.jsjtu.2021.448
中图分类号：
学科分类号：
摘要：
The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine. © 2023 Shanghai Jiao Tong University. All rights reserved.
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页码：127 / 137
页数：10
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