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Vibration Reliability Analysis of Turbine Blade Based on Response Surface Method

机译:基于响应面法的汽轮机叶片振动可靠性分析

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Many stochastic parameters have an effect on the reliability of a steam turbine blade during practical operation. To improve the dynamic strength reliability design of blade, it is necessary to take these stochastic parameters into account. In this paper, a variable-section torsion blade is investigated and a new method which is the combination of finite element method (FEM), response surface method (RSM) and Monte Carlo simulation method (MCS) is put forward to solve the vibration reliability analysis in the case of geometrical parameters, material parameters, installation parameters and rotation speed are considered as input random variables while the dynamic frequencies are output random variables. Based on the finite element parametrical model of torsion blade and reasonable experiment design, analysis file of the blade is complied by deterministic finite element method and applied to be loop life to create sample points. A quadratic polynomial with cross terms is chosen to fitting these samples by step-forward regression method and employed as a surrogate of numerical solver to drastically reduce the number of solvers call. Then Monte Carlo method is used to obtain the statistical characteristics and cumulative distribution function of dynamic frequencies. Aiming to the blade's dangerous mode of vibration, performance function is created and the vibration reliability analysis is carried out. Moreover, the proposed method (FEM-RSM-MCS) in this paper is compared with the Latin Hypercube samples Mont Carlo simulation method (LH-MCS) which is acted as relative precision method. The comparison result show that FEM-RSM-MCS is an optional approach for the dynamic strength reliability analysis of the blade as it has less and fast calculations and high regression accuracy.
机译:许多随机参数对实际操作期间蒸汽轮机叶片的可靠性具有影响。为了提高刀片的动态强度可靠性设计,有必要考虑这些随机参数。在本文中,研究了可变截面扭转刀片,并提出了一种新方法,即有限元方法(FEM),响应表面法(RSM)和蒙特卡罗模拟方法(MCS)的组合以解决振动可靠性在几何参数的情况下分析,材料参数,安装参数和旋转速度被认为是输入随机变量,而动态频率输出随机变量。基于扭曲刀片的有限元参数模型和合理的实验设计,通过确定性有限元方法符合刀片的分析文件,并应用于循环寿命以创建采样点。选择具有横向术语的二次多项式,以通过前进的回归方法拟合这些样本,并用作数值求解器的替代物,以大大减少求解器的数量。然后,Monte Carlo方法用于获得动态频率的统计特性和累积分布函数。旨在展示刀片的危险模式,创建了性能功能,并进行了振动可靠性分析。此外,本文中所提出的方法(FEM-RSM-MCS)与拉丁超立体样品MONT Carlo仿真方法(LH-MCS)进行比较,该方法被用作相对精密法。比较结果表明,FEM-RSM-MCS是刀片的动态强度可靠性分析的可选方法,因为它具有较少快速的计算和高回归精度。

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