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考虑壁板刚度匹配的大型飞机复合材料机翼气动弹性优化设计 被引量:4

Aeroelastic optimization design of composite wing for large aircraft with panel stiffness matching
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摘要 针对大型飞机复合材料机翼,发展了一种考虑壁板刚度匹配的气动弹性优化设计方法。基于敏度算法,以结构质量最小化为目标,以壁板刚度匹配、颤振速度、翼尖变形、设计许用值、工艺性等为约束,在严重载荷状态下设计复合材料机翼结构,研究不同壁板刚度匹配要求对于优化设计结果的影响,并与传统优化设计结果进行比较。结果表明:考虑壁板刚度匹配需要付出一定的结构质量,但对局部稳定性设计、损伤容限设计和大型复合材料壁板制造有利;壁板刚度匹配设计范围对于优化设计结果影响显著,需要根据设计和制造要求合理确定;压缩设计许用值是影响复合材料机翼气动弹性优化设计的关键约束。 A method of aeroelastic optimization design with consideration of panel stiffness matching was developed for the composite wing of large aircraft. The optimization was performed based on the sensitivity algorithm,and the objective was to minimize the structural mass subject to the constraints of panel stiffness matching,flutter speed,deformation at wingtip,design allowable and manufacturability. The composite wings were designed in the case of critical load conditions. The influences of various panel stiffness matching requirements on optimal design results were studied and they were compared with the conventional optimal design results. The results indicate that the structural weight will increase with consideration of panel stiffness matching. However,it has an advantage in local buckling design,damage tolerance design and manufacturing of large composite panel. The optimal design results can be significantly affected by the design ranges of panel stiffness matching,so these design ranges should be properly determined according to the requirements of design and manufacturing. The design allowable of compression is a crucial constraint of the aeroelastic optimization design for composite wing.
作者 肖志鹏 钱文敏 周磊 XIAO Zhipeng;QIAN Wenmin;ZHOU Lei(Beijing Key Laboratory of Civil Aircraft Structures and Composite Materials,Beijing Aeronautical Science & Technology Research Institute of COMAC,Beijing 102211,China)
出处 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2018年第8期1629-1635,共7页 Journal of Beijing University of Aeronautics and Astronautics
关键词 复合材料机翼 壁板刚度匹配 气动弹性 颤振 结构优化 composite wing panel stiffness matching aeroelasticity flutter structural optimization
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