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Reduced Order Modeling of a Bladed Rotor with Geometric Mistuning via Estimated Deviations in Mass and Stiffness Matrices

机译:通过估计偏差矩阵的估计偏差,减少了叶片转子的阶梯式阶的阶阶阶模型

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摘要

This paper deals with further development of Modified Modal Domain Analysis (MMDA) , which is a breakthrough method in the reduced order modeling of a bladed rotor with geometric mistuning. The main focus of this paper is to show that deviations in mass and stiffness matrices due to mistuning ,estimated by Taylor series expansions in terms of independent Proper Orthogonal Decomposition variables representing geometric variations of blades , can be used for MMDA. This result has rendered Monte Carlo simulation of the response of a bladed rotor with geometric mistuning to be easy and computationally efficient.
机译:本文涉及改进模态域分析(MMDA)的进一步发展,这是一种具有几何迷雾的叶片转子的阶数建模中的突破性方法。本文的主要焦点是表明,由于代表叶片几何变化的独立适当的正交分解变量,泰勒串扩展估计的质量和刚度矩阵的偏差可用于MMDA。该结果使Monte Carlo模拟了一块带有几何迷雾的叶片转子的响应仿真,以简单且计算效率。

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