基于BESO算法的大型海洋垂直轴风力机支撑结构优化

doi:10.16183/j.cnki.jsjtu.2021.448

上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (2): 127-137.doi: 10.16183/j.cnki.jsjtu.2021.448

所属专题：《上海交通大学学报》2023年“船舶海洋与建筑工程”专题

• 船舶海洋与建筑工程 • 下一篇

基于BESO算法的大型海洋垂直轴风力机支撑结构优化

何文君¹, 苏捷¹, 周岱¹, 韩兆龙¹^,²(), 包艳¹, 赵永生¹^,², 许玉旺¹, 涂佳黄³

1.上海交通大学船舶海洋与建筑工程学院;海洋工程国家重点实验室, 上海 200240
2.上海交通大学极地深海技术研究院;海洋装备研究院, 上海 200240
3.湘潭大学土木工程与力学学院,湖南湘潭 411105

收稿日期:2021-11-07 修回日期:2021-12-15 接受日期:2021-12-23 出版日期:2023-02-28 发布日期:2023-03-01
通讯作者: 韩兆龙 E-mail:han.arkey@sjtu.edu.cn.
作者简介:何文君(1997-),硕士生,从事垂直轴风力机结构减振研究.
基金资助:
国家自然科学基金(52271284);国家自然科学基金(52122110);国家自然科学基金(42076210);国家自然科学基金(51879160);上海市科委重大研究计划(2019-01-07-00-02-E00066);上海市曙光计划(19SG10);上海交通大学深蓝计划(SL2020PT201);上海交通大学深蓝计划(SL2020PT302);湖南省自然科学基金(2021JJ50027)

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

HE Wenjun¹, SU Jie¹, ZHOU Dai¹, HAN Zhaolong¹^,²(), BAO Yan¹, ZHAO Yongsheng¹^,², XU Yuwang¹, TU Jiahuang³

1. School of Naval Architecture, Ocean and Civil Engineering; State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2. Institute of Polar and Ocean Technology; Institute of Marine Equipment, Shanghai Jiao Tong University, Shanghai 200240, China
3. College of Civil Engineering and Mechanics, Xiangtan University, Xiangtan 411105, Hunan, China

Received:2021-11-07 Revised:2021-12-15 Accepted:2021-12-23 Online:2023-02-28 Published:2023-03-01
Contact: HAN Zhaolong E-mail:han.arkey@sjtu.edu.cn.

摘要/Abstract

摘要：

大型海洋垂直轴风力机的研究对发展海洋风能具有重要意义,研究大型垂直轴风力机的合理支撑结构形式对风力发电结构安全至关重要.基于变删除率的双向渐进结构优化(BESO)算法,对大型海洋垂直轴风力机进行支撑结构优化,并通过风力机的动力响应特性分析,验证结构优化方法的可靠性.结果表明:反比例型变删除率的BESO算法能有效改善优化迭代速率,适用于垂直轴风力机的支撑结构优化设计;相比于初始结构,拓扑出的新结构模型在风荷载作用下的风致动力响应显著降低.研究成果可用于垂直轴风力机支撑结构设计优化.

关键词: 垂直轴风力机, 双向渐进结构优化算法, 动力响应, 减振

Abstract:

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.

Key words: vertical axis wind turbine, bidirectional evolutionary structural optimization (BESO) algorithm, dynamic response, vibration reduction

中图分类号:

TU312.1

何文君, 苏捷, 周岱, 韩兆龙, 包艳, 赵永生, 许玉旺, 涂佳黄. 基于BESO算法的大型海洋垂直轴风力机支撑结构优化[J]. 上海交通大学学报, 2023, 57(2): 127-137.

HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang. Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm[J]. Journal of Shanghai Jiao Tong University, 2023, 57(2): 127-137.

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函数模型	迭代步数	计算效率提高/%	优化后结构平均柔顺度/(N·m)	平均柔顺度变化/%
反比例型	29	44.2	45.12	34.79
固定删除率	52	-	69.19	-

模型	坐标轴	最大位移/m	最大速度/ (m·s^-1)	最大加速度/ (m·s^-2)	位移优化率/%
初始模型	x	1.23	4.86	38.67
	y	1.17	3.7	26.12
	z	0.54	—	—
优化模型	x	0.60	0.4	1.06	51.22
	y	0.53	1.03	3.06	54.70
	z	0.21	—	—	61.11

基于BESO算法的大型海洋垂直轴风力机支撑结构优化

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

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