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Vibratory behavior prediction of mistuned stator vane clusters: An industrial application

机译:定子静叶片簇的振动行为预测:工业应用

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摘要

Geometric and material dispersions of bladed disks imply some mistuning effects, which result in both the loss of cyclic symmetry properties and a vibratory response amplification in areas of high modal density. These conditions complicate the prediction of vibratory behavior, causing high modal density and extreme sensitivity to mistuning. A non-intrusive spectral stochastic method has been developed to predict the vibratory behavior of a mistuned stator vane. To apply this method to an industrial model, a Karhunen-Loeve expansion and a double modal synthesis method have been combined with the stochastic method. The complete method was first tested on a simple academic model and then on an industrial stator vane sector. (C) 2017 Elsevier Ltd. All rights reserved.
机译:叶片盘的几何和材料分散意味着一些模糊效应,导致高对称密度区域的循环对称性损失和振动响应放大。这些条件使振动行为的预测变得复杂,从而导致较高的模态密度和对失谐的极度敏感性。已经开发了一种非侵入式频谱随机方法来预测雾化定子叶片的振动行为。为了将该方法应用于工业模型,将Karhunen-Loeve展开和双模态综合方法与随机方法相结合。完整的方法首先在简单的学术模型上进行了测试,然后在工业定子叶片领域进行了测试。 (C)2017 Elsevier Ltd.保留所有权利。

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