An Online Fatigue Damage Evaluation Method for Gas Turbine Hot Components

Author:

Zhu Hongxin123,Dai Shun12,Zhang Xiaoyi12,Chen Jian12,Luo Mingyu12,Huang Weiguang123

Affiliation:

1. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. School of Physical Science and Technology, Shanghai Tech University, Shanghai 201210, China

Abstract

The failure of gas turbines’ hot components due to fatigue significantly affects their efficient and stable operation. Conducting online damage assessment of components subjected to complex cyclic loads based on the working conditions of gas turbines can provide real-time reflection of component fatigue damage and achieve the purpose of predictive maintenance. In this study, we propose an online cycle counting method that considers temperature fluctuations during the cycle process. Our method is based on the four-point online rainflow counting method by coupling the counting variable with time, introducing the concept of the duration time for full cycles and half cycles, and incorporating a characteristic temperature that better represents the temperature information during the cycle process. With reference to the characteristic temperature, our proposed method comprehensively considers the form and parameters of subsequent life assessment models. This paper provides a detailed explanation of the proposed method and applies it to the fatigue damage assessment of turbine vanes in a micro gas turbine, thereby verifying its accuracy and applicability.

Funder

Shanghai Advanced Research Institute, Chinese Academy of Sciences

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference22 articles.

1. Combined fatigue life prediction and experiment verification for turbine blade;You;J. Aerosp. Power,2022

2. Zhu, S. (2012). Research on Hybrid Probabilistic Physics of Failure Modeling and Fatigue Life Estimation of High-Temperature Structures, University of Electronic Science and Technology of China.

3. A Damage Evaluation Model of Turbine Blade for Gas Turbine;Zhou;J. Eng. Gas Turbines Power,2017

4. Reliability-based fatigue life prediction for complex structure with time-varying surrogate modeling;Song;Adv. Mater. Sci. Eng.,2018

5. Development of improved Manson-Coffin model considering the effect of yield stress under asymmetrical cyclic loading;Liu;J. Mech. Sci. Technol.,2021

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