Finite Element Model Updating for Helicopter Rotor Blade Using Genetic Algorithm
Finite Element Model Updating for Helicopter Rotor Blade Using Genetic Algorithm
复制标题
利用遗传算法更新直升机旋翼桨叶有限元模型
DOI：
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复制
发表时间：
2003
期刊：
影响因子：
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通讯作者：
R. Ganguli
中科院分区：
文献类型：
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作者：
V. R. Akula;R. Ganguli
主旋翼是直升机的主要子系统，对直升机的性能、动力学和气动弹性有着重要的影响。因此，对直升机旋翼桨叶进行精确的结构动力学建模是一个非常重要的问题。一般来说，直升机旋翼叶片是用一种近似的方法，如有限元法来建模的旋转光束。如果有限元模型预测的固有频率和模态振型与试验数据不一致，则可以使用模型更新方法改变有限元模型的质量和刚度特性模型更新问题可以被视为优化问题，其中可用测试和预测系统属性之间的差异在最小二乘意义上最小化。遗传算法（GA）等优化方法最近才被用于模型更新。在这项研究中，我们使用遗传算法从其频率构建直升机旋翼叶片。
Introduction T HE main rotor is the major subsystem in a helicopter and has considerable in uence on helicopter performance, dynamics, and aeroelasticity. Therefore, considerableattention is given to accurate structural dynamic modeling of the helicopter rotor blade. Typically, the helicopter rotor blade is modeled as a rotating beam using an approximate method such as the nite element method. If the natural frequencies and mode shapes predicted by the nite element model differ from test data, the mass and stiffness properties of the nite element model can be changed using a model updating method.2 Model updating problems can be posed as optimization problems, where the difference between the available test and predicted system properties is minimized in a least-squares sense. Optimizationmethods such as genetic algorithms (GA) have only been used recently in model updating.3i5 In this study we use genetic algorithms for constructing a helicopter rotor blade from its frequencies.