Modal analysis of Francis turbine blade based on fluid-structure interaction theorem

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

International Journal of Modelling Identification and Control Pub Date : 2010-07-06 DOI:10.1504/IJMIC.2010.033851

Z. Lixia, Zhang Wei, Yang Zhaohong

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引用次数: 3

Abstract

The paper deals with the modal analysis of Francis turbine blade with fluid-structure interaction (FSI). The dynamic equation of Francis turbine blade in air and operating flow path is studied, and two different governing equations are solved together. Then the mathematic model for vibration and stress analysis was built to calculate the natural frequency in air by using finite element analysis (FEA). In addition, the blade's coupled modelling in operating flow path lies on a classical finite element discretisation of the coupled fluid-structure equation. According to the analysis of results, the influential coefficients by the FEA adopted in the present study are in fairly good agreement with the experienced data listed in some documents. The modal analysis of the blade highlights that the natural frequencies decrease dramatically and the mode shapes in operating flow path are close to those in air. So the method presented herein can be used efficiently as a reliable tool for the fatigue reliability design and performance analysis of Francis turbine blade.

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基于流固耦合定理的混流式水轮机叶片模态分析

本文对考虑流固耦合的混流式水轮机叶片进行了模态分析。研究了混流式水轮机叶片在空气和工作流道中的动力学方程，并对两种不同的控制方程进行了求解。在此基础上，建立了振动与应力分析的数学模型，利用有限元分析方法计算空气中的固有频率。此外，叶片在工作流道中的耦合建模是基于耦合流固方程的经典有限元离散化。结果分析表明，本文采用的有限元法计算的影响系数与部分文献的经验数据吻合较好。对叶片的模态分析表明，叶片的固有频率显著降低，工作流道内的模态振型与空气中的模态振型接近。该方法可作为混流式水轮机叶片疲劳可靠性设计和性能分析的可靠工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Modelling Identification and Control AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

57.10%

发文量

期刊介绍： Most of the research and experiments in the fields of science, engineering, and social studies have spent significant efforts to find rules from various complicated phenomena by observations, recorded data, logic derivations, and so on. The rules are normally summarised as concise and quantitative expressions or “models". “Identification" provides mechanisms to establish the models and “control" provides mechanisms to improve the system (represented by its model) performance. IJMIC is set up to reflect the relevant generic studies in this area.