| Citation: | XIA Cunjiang, YU Hang, AO Liangzhong, et al. Research on layout optimization algorithm for high-aspect-ratio blades of aero-engines[J]. Journal of Aerospace Power, 2025, 40（10）：20250130 doi: 10.13224/j.cnki.jasp.20250130
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To optimize the dynamic balance layout of high aspect ratio rotor blades, a multi-objective optimization model was established by incorporating radial, axial, and tangential mass moments as key constraints. To address the limitations of traditional genetic, ant colony, and particle swarm optimization algorithms in convergence speed and global search capability, an improved optimization strategy integrating multi-dimensional objective characteristics was proposed. A multi-dimensional fitness function was designed to accommodate multi-directional moment targets, while a symmetry constraint and weight control mechanism were introduced to enhance the structural rationality of the solution. Population initialization was improved, and a local search mechanism was integrated to boost both local convergence precision and global convergence efficiency. Experimental results based on actual blade mass moment data showed that the average fitness of the improved genetic algorithm decreased from approximately 280 000 to 28 000, achieving a reduction of over 90%. Compared to the other two algorithms, optimization efficiency improved by about 15%, and the final solution quality increased by more than 10%.
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