scholarly journals Low Cycle Fatigue Life Estimation and Tracking for Industrial Gas Turbine Blades Using Fatigue Factor Approach

2018 ◽  
Vol 08 (02) ◽  
pp. 111-120
Author(s):  
Ebigenibo Genuine Saturday ◽  
Thank-God Isaiah
Keyword(s):  
Fatigue Life ◽  
Gas Turbine ◽  
Low Cycle Fatigue ◽  
Turbine Blades ◽  
Cycle Fatigue ◽  
Gas Turbine Blades ◽  
Life Estimation ◽  
Fatigue Life Estimation ◽  
Industrial Gas Turbine

Uncertainty Analysis in Fatigue Life Prediction of Gas Turbine Blades Using Bayesian Inference

2015 ◽  
Vol 32 (4) ◽  
Author(s):  
Yan-Feng Li ◽  
Shun-Peng Zhu ◽  
Jing Li ◽  
Weiwen Peng ◽  
Hong-Zhong Huang
Keyword(s):  
Fatigue Life ◽  
Bayesian Inference ◽  
Model Selection ◽  
Gas Turbine ◽  
Model Uncertainty ◽  
Life Prediction ◽  
Turbine Blades ◽  
Gas Turbine Blades ◽  
Life Estimation ◽  
Fatigue Life Estimation

AbstractThis paper investigates Bayesian model selection for fatigue life estimation of gas turbine blades considering model uncertainty and parameter uncertainty. Fatigue life estimation of gas turbine blades is a critical issue for the operation and health management of modern aircraft engines. Since lots of life prediction models have been presented to predict the fatigue life of gas turbine blades, model uncertainty and model selection among these models have consequently become an important issue in the lifecycle management of turbine blades. In this paper, fatigue life estimation is carried out by considering model uncertainty and parameter uncertainty simultaneously. It is formulated as the joint posterior distribution of a fatigue life prediction model and its model parameters using Bayesian inference method. Bayes factor is incorporated to implement the model selection with the quantified model uncertainty. Markov Chain Monte Carlo method is used to facilitate the calculation. A pictorial framework and a step-by-step procedure of the Bayesian inference method for fatigue life estimation considering model uncertainty are presented. Fatigue life estimation of a gas turbine blade is implemented to demonstrate the proposed method.

Small-scale specimen testing for fatigue life assessment of service-exposed industrial gas turbine blades

2016 ◽  
Vol 92 ◽  
pp. 262-271 ◽  
Author(s):  
D. Holländer ◽  
D. Kulawinski ◽  
A. Weidner ◽  
M. Thiele ◽  
H. Biermann ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Gas Turbine ◽  
Turbine Blades ◽  
Life Assessment ◽  
Small Scale ◽  
Gas Turbine Blades ◽  
Fatigue Life Assessment ◽  
Industrial Gas Turbine
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