Optimal Design of Honeycomb Core Structure Based on Improved Particle Swarm Algorithm
Abstract：To address the problem of poor compressive resistance of wind turbine blades, the internal concave honeycomb core structure within the main beam is optimized to enhance the blade's compressive performance. An improved particle swarm optimization algorithm (PSO) is proposed by introducing Cauchy mutation and natural selection mechanisms, and the particle swarm is divided according to fitness values to enhance the optimization capability. A honeycomb core optimization model is established, with the maximum equivalent elastic modulus as the design objective. The cell wall thickness and inner angle of the honeycomb core layer are optimized using the improved PSO algorithm, and finite element modeling is conducted using ANSYS. The results show that the compressive stiffness of the optimized honeycomb core has been significantly improved, verifying the effectiveness of the optimization strategy.
Keywords：Vertical-axis wind turbineHoneycomb coreImproved particle swarm algorithm
Publication Date：2025-04-25
Pages：3( 73-75 )