基于PLSR和粒子群算法的机翼仿生分层优化研究

IF 0.6 4区 工程技术 Q4 MECHANICS
Mechanika Pub Date : 2023-10-18 DOI:10.5755/j02.mech.33329
Xiaoxin ZHANG, Qi WANG
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引用次数: 0

摘要

机翼内部结构的布局不仅对机翼的强度刚度有很大影响,而且直接影响飞机的气动特性。在原有机翼结构的基础上,采用更加灵活的空间设计布局,实现结构整体承重性能的提高,合理的结构轻量化设计是未来飞机发展需要考虑的研究重点。因此,本文试图设计和分析一种满足性能要求的轻型翼型。将分层优化设计策略与工程仿生学的优势相结合,采用硅藻蛛形仿生结构、拓扑优化、偏最小二乘回归(PLSR)和多目标粒子群算法(PSO)对机翼内部部件的布局和尺寸进行优化。仿真结果表明,优化后的机翼结构在满足最大应力和最大变形要求的情况下,重量降低了6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Bionic Hierarchical Optimization of Wing Based on PLSR and PSO
The layout of the wing's internal structure not only dramatically influences the wing's strength stiffness but also directly affects the aerodynamic characteristics of the aircraft. Based on the original wing structure, a more flexible spatial design layout to achieve improved overall structural load-bearing performance, and a reasonable structural lightweight design are the research priorities to be considered for the development of future aircraft. Therefore, this paper attempted to design and analyze a lightweight airfoil that meets the performance requirements. Combining the strategy of hierarchical optimization design with the advantages of engineering bionics, the diatom Arachnoidiscus bionic structure, topological optimization, partial least squares regression (PLSR), and multi-objective particle swarm algorithm (PSO) are applied to optimize the placement and size of wing’s internal components. The simulation results show that the weight of the optimized wing structure is reduced by 6% while satisfying the requirements of maximum stress and maximum deformation.
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来源期刊
Mechanika
Mechanika 物理-力学
CiteScore
1.30
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: The journal is publishing scientific papers dealing with the following problems: Mechanics of Solid Bodies; Mechanics of Fluids and Gases; Dynamics of Mechanical Systems; Design and Optimization of Mechanical Systems; Mechanical Technologies.
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