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T型尾翼动气动弹性优化设计
引用本文:吕斌,谭申刚,万志强,杨超.T型尾翼动气动弹性优化设计[J].北京航空航天大学学报,2007,33(4):409-413.
作者姓名:吕斌  谭申刚  万志强  杨超
作者单位:北京航空航天大学 航空科学与工程学院, 北京 100083
基金项目:国家自然科学基金,教育部跨世纪优秀人才培养计划
摘    要:T型尾翼构型复杂,操纵面多,在动气动弹性的有限元建模和颤振特性设计中,需要修改的参数多,颤振分析复杂,设计人员面临很大的困难.通过在设计过程中引入优化方法,能够有效的解决这些问题.依据遗传算法和敏度优化算法的特点,针对固有振动和颤振优化设计的不同要求,将两种优化方法进行混合和递进应用,形成不同的优化设计方法.建立固有振动频率和颤振阻尼对结构参数的敏度公式,设计两种不同优化问题的数学模型.将优化方法应用于某T型尾翼的结构动力学优化设计,提高了设计速度,保证了设计精度,固有振动频率误差保证在3%以内.在保证质量最小的要求下,使颤振速度得到提高,并为实际结构的设计提供一定指导. 

关 键 词:T型尾翼    结构动力学优化    颤振优化    遗传算法    敏度分析
文章编号:1001-5965(2007)04-0409-05
收稿时间:2006-05-12
修稿时间:2006-05-12

Optimization design for aeroelastic dynamics of T-tail
Lü Bin,Tan Shengang,Wan Zhiqiang,Yang Chao.Optimization design for aeroelastic dynamics of T-tail[J].Journal of Beijing University of Aeronautics and Astronautics,2007,33(4):409-413.
Authors:Lü Bin  Tan Shengang  Wan Zhiqiang  Yang Chao
Institution:School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:Due to complicated configuration and multi control surfaces,the flutter characteristic design of T-tail is complicated and there are many parameters in the process of establishing dynamics finite element model,so the designers face more difficulties.In order to solve these problems,optimization methods was introduced into design process.According to the virtues of genetic algorithm and sensitivity algorithm,the two methods are mixed for natural vibration optimization and ordinal applied for flutter optimization respectively.The sensitivity formulas about natural frequency and flutter damp to structure parameters were discussed,and the math models about optimization design were established.With the methods using for structural dynamics optimization of a real T-tail model,not only the time of designing has been reduced to a great extent,but also the design precision has been assured,with the error of natural frequency below 3%.The flutter speed increased with the mass of structure minimized,and the result provides references in practical structural design.
Keywords:T-tail  structural dynamics optimization  flutter optimization  genetic algorithms  sensitivity analysis
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