Multi-objective optimization for an autonomous unmoored offshore wind energy system substructure

Annan, Augustine; Lackner, Matthew A.; Manwell, James F.

doi:10.1016/j.apenergy.2023.121264

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…Currently, multi-objective optimization algorithms are the most commonly used approach for optimizing structures with multiple parameters [21,22]. Scholars have employed this method to optimize the structural parameters of various systems, such as torsional flow heat exchangers [23][24][25], vacuum vessel sector multiple bottom support [26], antenna structure [27][28][29], wind turbine [30][31][32][33][34], and satellite [35], to achieve optimal performance. However, there is limited literature exploring the use of multi-objective optimization algorithms for optimally designing the structural dimensions of different parts of radio telescopes under wind load excitation.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response and Optimal Design of Radio Telescope Structure under Wind Load Excitation

Wang,

Zhang,

Yang

et al. 2023

Buildings

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The dynamic response of a radio telescope structure under wind load excitation significantly impacts the accuracy of signal reception. To address this issue, this study established a parametric finite element model of a radio telescope to simulate its dynamic response under wind load excitation. An improved Latin hypercube sampling method was applied in the design of experiments (DOEs) to optimize the structural dimensional parameters of various components of the radio telescope with the aim of reducing the dynamic response to wind load. A response surface model and multi-objective genetic algorithm (MOGA) were employed for multi-objective structural optimization of the radio telescope structure. The findings reveal that the thickness of the stiffening ribs, the length of the side of the square hollow pole, the thickness of the middle pole, and the inner diameter of the thin pole are the most influential structural parameters affecting the first-order frequency (F1), second-order frequency (F2), maximum deformation in the x-direction (DX), and maximum deformation in the z-direction (DZ) of the radio telescope, respectively. Optimizing the radio telescope results in a 40.00% improvement in F1 and a 24.16% enhancement in F2, while reducing DX by 43.94% and DZ by 64.25%. The study outcomes offer a comprehensive scheme for optimizing the structural dimensional parameters of various radio telescope components in regions characterized by multiple wind fields.

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