Optimization designing method of wing flutter model for low-speed wind tunnel test
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摘要: 对于机翼的低速风洞颤振试验模型设计中涉及学科多、难度高、工作量大、周期长等问题,把具有很好的全局和局部寻优能力且收敛速度很快的遗传/敏度混合优化算法应用于模型设计过程;详细说明了遗传/敏度混合优化算法的优化设计原理、设计过程,以及应用范围;论述了机翼颤振模型设计的基础理论和设计思路;根据实际问题的物理模型,并通过对机翼颤振模型设计原理的分析,建立了优化设计的数学模型;通过优化设计方法的实际应用,完成了设计工作,提高了设计效率,保证了设计精度,该设计方法所得到的设计结果与计算得到的设计要求之间的误差在5%以内;在此基础上建立了完整的机翼颤振模型工程优化设计方法,使该方法能够应用在模型设计的很多方面,为工程设计提供了一种有效的手段.Abstract: To solve the multidisciplinary problem of flutter wing model designing for low-speed wind tunnel test, which there is lots of difficulty in and expended abundant time conventionally, a design method named genetic/sensitivity-based hybrid algorithm was applied, which has very well global and local search capabilities and optimization efficiency. The theory, process and applicability of genetic/sensitivity-based hybrid algorithm were presented. The math model, based on real physical one, was modeled according the essential theory and design course of the flutter wing model designing. With the method using in design, not only the time of model designing is reduced to a great extent, but also the design precision is assured, for the error comparing result and target of model design can reach below 5% relatively. An optimization method of flutterwing model was developed and was used in many aspects of model designing, providing an efficient design method in engineering.
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Key words:
- aeroelastic /
- flutter /
- genetic algorithms /
- sensitivity algorithms /
- natural vibration /
- wind testing
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