Reliability Analysis of Steam Turbine Blade Using Monte Carlo Simulation

In this study, the reliability analysis of the low pressure steam turbine blade was performed using the Monte Carlo simulation considering variations of applied stress and strength. Applied stress under the service condition of steady state was obtained by finite element analysis. The fatigue strength under rotating bending load was evaluated by the staircase method. The most appropriate probabilistic distribution of the fatigue strength is 3-parameter Weibull distribution, which is determined by the comparative analysis. The failure probability under various loading conditions was derived from the strength-stress interference model.

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A Stochastic Analysis in Steam Turbine Blade Steel Using Monte Carlo Simulation

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2002.26.11.2421 ◽

2002 ◽

Vol 26 (11) ◽

pp. 2421-2428 ◽

Cited By ~ 1

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Steam Turbine ◽

Turbine Blade ◽

Stochastic Analysis ◽

Steam Turbine Blade ◽

Blade Steel

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Probability Analysis of Static Frequency and Dynamic Frequency of Steam Turbine Blade Based on RBF Neural Network and Monte Carlo Simulation

2007 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2007.4370755 ◽

2007 ◽

Author(s):

Wei Duan ◽

Zhang-Qi Wang

Keyword(s):

Neural Network ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Steam Turbine ◽

Turbine Blade ◽

Rbf Neural Network ◽

Probability Analysis ◽

Steam Turbine Blade ◽

Dynamic Frequency

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Multidisciplinary reliability analysis of turbine blade with shape uncertainty by Kriging model and free-form deformation methods

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x19901041 ◽

2020 ◽

Vol 234 (4) ◽

pp. 611-621

Author(s):

Fan Yang ◽

Zhimin Xu

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

Turbine Blade ◽

Failure Probability ◽

Free Form ◽

Multidisciplinary Analysis ◽

Free Form Deformation ◽

Shape Uncertainty ◽

Multidisciplinary System

This work presents an integrated approach for the multidisciplinary reliability analysis of turbine blades with shape uncertainty, including the metamodel, the free-form deformation, and the Monte Carlo simulation. The multidisciplinary analysis of turbine blade includes fluid, structure, and thermal analyses, which is time-consuming during integration with multidisciplinary reliability analysis. The metamodel is constructed by adaptive sampling to reduce computational cost. The shape uncertainty with small size changes in reliability analysis should be considered. The geometry-based multidisciplinary analysis may fail to capture the small size changes during the geometry and mesh regeneration process. The main contribution of this article is to introduce the free-form deformation in multidisciplinary reliability analysis to overcome the aforementioned problems. The mesh-based method supported by free-form deformation is proposed. Failure probability analysis of the multidisciplinary blade system is performed using the Monte Carlo simulation and the surrogate model. Through the numerical simulation, it is found that the failure probability increases as the blade shape uncertainty becomes larger. The methodology in this article provides a valuable and applicative way to calculate the risk of blade in multidisciplinary system.

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