Main Beam Optimization of Wind Turbine Blade Base on Multi-Objective Genetic Algorithm

Abstract:

Take s814 airfoil as an example, established the multi-objective optimization model of moment of inertia and the weight for wind turbine blade main beam,Using the genetic algorithm global optimization algorithm, and given the Pareto solution set of optimal with the form of Pareto front. Select four kinds of optimization results scheme to do finite element calculation. The results shows that the magnitude of moment of inertia accordance with the change trend of main beam deflection, the width and thick of beam cap have great affect on moment of inertia and weight, the nearer aerodynamic center of leading edge, the greater moment of inertia, the thick of web almost no influence on moment of inertia.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 496-501
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.496
• Online since: January 2013
• Authors: Guang Hua Chen, De Tian, Ying Deng
• Keywords: Blade Main Beam, Genetic Algorithm (GA), Multi-Objective Optimization (MOP), Pareto Solution Set

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