Multi-Objective Structural Optimization of a Wind Turbine Tower

doi:10.1007/s12204-020-2190-3

Abstract

Abstract: 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.

Key words: structural optimization| wind turbine tower| multi-objective optimization algorithm| uniform design

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.

关键词: structural optimization| wind turbine tower| multi-objective optimization algorithm| uniform design

CLC Number:

TK 83

ZHENG Yuqiao, ZHANG Lu, PAN Yongxiang, HE Zhe . Multi-Objective Structural Optimization of a Wind Turbine Tower[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(4): 538-544.

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