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An Online Fatigue Damage Evaluation Method for Gas Turbine Hot Components

Author

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  • Hongxin Zhu

    (Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    School of Physical Science and Technology, Shanghai Tech University, Shanghai 201210, China)

  • Shun Dai

    (Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiaoyi Zhang

    (Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jian Chen

    (Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Mingyu Luo

    (Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Weiguang Huang

    (Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    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.

Suggested Citation

  • Hongxin Zhu & Shun Dai & Xiaoyi Zhang & Jian Chen & Mingyu Luo & Weiguang Huang, 2023. "An Online Fatigue Damage Evaluation Method for Gas Turbine Hot Components," Energies, MDPI, vol. 16(19), pages 1-18, September.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6785-:d:1246404
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