上海交通大学学报

上海交通大学学报 >

2023 , Vol. 57 >Issue 8: 939 - 947

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.182

船舶海洋与建筑工程

基于BESO算法的高桩承台式水平轴风力机支撑结构优化

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  • 1.上海交通大学 船舶海洋与建筑工程学院,上海 200240
    2.上海交通大学 海洋工程国家重点实验室,上海 200240
    3.湘潭大学 土木工程与力学学院,湖南 湘潭 411105
占玲玉(1998-),硕士生,从事海上风机结构优化、减振研究.

收稿日期: 2022-05-24

  修回日期: 2022-10-18

  录用日期: 2022-11-10

  网络出版日期: 2023-02-17

基金资助

上海市教育委员会科研创新计划自然科学重大项目(2019-01-07-00-02-E00066);国家自然科学基金(52122110);国家自然科学基金(42076210);上海市曙光计划(19SG10);上海交通大学深蓝计划(SL2020PT201);湖南省自然科学基金(2021JJ50027)

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Support Structure Optimization of High-Pile Cap Supported Horizontal Axis Wind Turbine System Based on BESO Algorithm

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  • 1. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    3. College of Civil Engineering and Mechanics, Xiangtan University, Xiangtan 411105, Hunan, China

Received date: 2022-05-24

  Revised date: 2022-10-18

  Accepted date: 2022-11-10

  Online published: 2023-02-17

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摘要

研究大型水平轴风力机塔筒的合理支撑结构形式对风力发电结构系统安全至关重要.针对高桩承台式水平轴风力机,基于反比例型删除率的双向渐进结构优化(BESO)算法,拓扑优化风力机塔筒结构,根据计算流体动力学方法和桩土相互作用原理,建立考虑桩土作用的风力机结构风致动力响应数值模型,比较分析优化前后风力机结构动力响应特性,验证结构优化方法的可靠性.经拓扑优化得到新的高桩承台水平轴风力机支撑结构,相较于初始结构,优化后的支撑结构风致动力响应显著降低,成果可为高桩承台式水平轴风力机支撑结构设计优化提供技术参考.

关键词： 水平轴风力机; 高桩承台式风力机基础; 双向渐进结构优化算法; 风致动力响应

本文引用格式

占玲玉, 何文君, 周岱, 韩兆龙, 朱宏博, 张凯, 涂佳黄 . 基于BESO算法的高桩承台式水平轴风力机支撑结构优化[J]. 上海交通大学学报, 2023 , 57(8) : 939 -947 . DOI: 10.16183/j.cnki.jsjtu.2022.182

Abstract

The study of reliable support structure is of great significance to the safety of large-scaled horizontal axis wind turbine (HAWT) system. In this paper, for cap-supported HAWT with high pile, the bidirectional evolutional structure optimization (BESO) algorithm based on inversely proportional deletion rate was used to optimize its support structure. Using computational fluid dynamics (CFD) and the principle of pile-soil interaction, the finite element model of HAWT was established, where the wind load and pile-soil interaction were taken into consideration. The reliability of the structural optimization method was verified through the comparison of the dynamic response characteristics between the initial and the optimized model. The results show that the current BESO algorithm can effectively generate a novel support structure form for high-pile HAWT, whose dynamic response is significantly reduced. The results can provide useful references for HAWTs designs.

Key words： horizontal axis wind turbine (HAWT); high-pile cap foundation; bidirectional progressive structural optimization algorithm (BESO); wind-induced dynamic response

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