The accuracy of the finite element model is essential for fatigue analysis and vibration of a flexible body. This paper presents a finite element model updating (FEMU) algorithm based on crows search algorithm incorporated with Levy flight (LFCSA). The proposed algorithm is tested on the updating of two different cases: a simple structure (beam) and a complex structure (gearbox housing). To verify the performance of LFCSA, two optimization algorithm, which is the standard CSA and the particle swarm optimization algorithm with Levy flight (LFPSO), are applied to FEMU of the simple beam. The result of the comparison shows that the LFCSA has sufficient convergence speed and global search ability in the implementation of FEMU. In the case of gearbox housing, the error of frequencies and mode shapes are analyzed to indicate that the LFCSA gives a satisfactory result in a complex structure.

中文翻译：

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使用带有征费飞行的乌鸦搜索算法更新有限元模型

有限元模型的准确性对于柔性分析疲劳和振动至关重要。本文提出了一种基于结合了Levy Flight（LFCSA）的乌鸦搜索算法的有限元模型更新（FEMU）算法。在两种不同情况的更新下测试了所提出的算法：简单结构（梁）和复杂结构（齿轮箱外壳）。为了验证LFCSA的性能，将两种优化算法，即标准CSA和具有Levy Flight的粒子群优化算法（LFPSO）应用于简单梁的FEMU。比较结果表明，LFECA在FEMU的实现中具有足够的收敛速度和全局搜索能力。对于变速箱壳体，