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Multi-Objective Structural Optimization of a Wind Turbine Tower
Zheng, Yuqiao; Zhang, Lu; Pan, Yongxiang; He, Zhe
刊名Journal of Shanghai Jiaotong University (Science)
2020-08-01
卷号25期号:4页码:538-544
关键词Fatigue of materials Regression analysis Towers Wind turbines Baseline configurations Design variables Equivalent stress Multi objective Suitable solutions Tower design Uniform design Wind turbine towers
ISSN号10071172
DOI10.1007/s12204-020-2190-3
英文摘要The 2MW wind turbine tower is considered as the baseline configuration for structural optimization. The design variables consist of the thickness and height located at the top tower junction. The relationships between the design variables and the optimization objectives (mass, equivalent stress, top displacement and fatigue life) are mapped on the basis of uniform design and regression analysis. Subsequently, five solutions are developed by an algorithm, NSGA-III. According to their efficiency and applicability, the most suitable solution is found. This approach yields a decrease of 0.48% in the mass, a decrease of 54.48% in the equivalent stress and an increase of 8.14% in fatigue life, as compared with existing tower designs. An improved wind turbine tower is obtained for this practice. © 2020, Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature.
语种英语
出版者Shanghai Jiaotong University
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/115144]  
专题兰州理工大学
作者单位School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式
GB/T 7714
Zheng, Yuqiao,Zhang, Lu,Pan, Yongxiang,et al. Multi-Objective Structural Optimization of a Wind Turbine Tower[J]. Journal of Shanghai Jiaotong University (Science),2020,25(4):538-544.
APA Zheng, Yuqiao,Zhang, Lu,Pan, Yongxiang,&He, Zhe.(2020).Multi-Objective Structural Optimization of a Wind Turbine Tower.Journal of Shanghai Jiaotong University (Science),25(4),538-544.
MLA Zheng, Yuqiao,et al."Multi-Objective Structural Optimization of a Wind Turbine Tower".Journal of Shanghai Jiaotong University (Science) 25.4(2020):538-544.
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