2013
DOI: 10.1016/j.proeng.2013.04.114
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Parametric Optimization of Steel Shell Towers of High-Power Wind Turbines

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Cited by 21 publications
(8 citation statements)
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“…Li et al [10] proposed some advice, in terms of economic efficiency, for designing a typhoon-resistant wind turbine for use in countries where tropical cyclones often occur. Perelmuter and Yurchenko [11] reported a parametric study procedure which employs steel conic shell towers for high capacity wind turbines. Dimopoulos and Gantes [12] carried out an experimental and numerical study of the buckling behaviour of cantilevered shells with door openings and stiffening rings, and found that there was a good agreement between the numerical and the experimental results in terms of load-displacement curves and the ultimate load.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al [10] proposed some advice, in terms of economic efficiency, for designing a typhoon-resistant wind turbine for use in countries where tropical cyclones often occur. Perelmuter and Yurchenko [11] reported a parametric study procedure which employs steel conic shell towers for high capacity wind turbines. Dimopoulos and Gantes [12] carried out an experimental and numerical study of the buckling behaviour of cantilevered shells with door openings and stiffening rings, and found that there was a good agreement between the numerical and the experimental results in terms of load-displacement curves and the ultimate load.…”
Section: Introductionmentioning
confidence: 99%
“…By using numerical analysis, a method to determine the parameters of the stiffening rings, which could increase the buckling capacity of the cooling towers, was proposed. Perelmuter et al [18] formulated an optimization problem for the design of steel wind turbine towers by considering the wall thickness, the diameters of the cross-section and the height as design variables. Sim et al [19] reported a parametric study in which a numerical simulation was compared with experimental results on the flexural buckling strength of a wind turbine tower.…”
Section: Introductionmentioning
confidence: 99%
“…The former relies on a gradient calculation of the objective function to find the sensitivity of each design variable. It features rapid convergence and ensures an optimal solution for convex search-space, which explains its popular utilisation [28][29][30]. Nevertheless, optimisation problems for offshore structures are generally non-convex [31], which makes the calculus-based algorithms less robust and more likely to end in local optima [32].…”
Section: Introductionmentioning
confidence: 99%