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has been cited by the following article:

• TITLE: Structural Design Optimization of a Vertical Axis Wind Turbine for Seismic Qualification and Lightweight

  AUTHORS: Young-Hyu Choi, Min-Gyu Kang

  KEYWORDS: Small Vertical-Axis Wind Turbine, Seismic Qualification, Response Spectrum Analysis, Structural Design Optimization, Genetic Algorithm

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.4 No.3D, October 20, 2016

  ABSTRACT: Recently, there is a growing interest in seismic qualification of ridges, buildings and mechanical equipment worldwide due to increase of accidents caused by earthquake. Severe earthquake can bring serious problems in the wind turbines and eventually lead to an interruption to their electric power supply. To overcome and prevent these undesirable problems, structural design optimization of a small vertical axis wind turbine has performed, in this study, for seismic qualification and lightweight by using a Genetic Algorithm (GA) subject to some design constraints such as the maximum stress limit, maximum deformation limit, and seismic acceleration gain limit. Also, the structural design optimizations were conducted for the four different initial design variable sets to confirm robustness of the optimization algorithm used. As a result, all the optimization results for the 4 different initial designs showed good agreement with each other properly. Thus the structural design optimization of a small vertical-axis wind turbine could be successfully accomplished.