An Online Fatigue Damage Evaluation Method for Gas Turbine Hot Components

Hongxin Zhu, Shun Dai, Xiaoyi Zhang (), Jian Chen, Mingyu Luo and Weiguang Huang
Additional contact information
Hongxin Zhu: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
Shun Dai: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
Xiaoyi Zhang: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
Jian Chen: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
Mingyu Luo: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
Weiguang Huang: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China

Energies, 2023, vol. 16, issue 19, 1-18

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.

Keywords: fatigue damage assessment; online cycle counting method; temperature fluctuations; characteristic temperature (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/19/6785/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/19/6785/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:19:p:6785-:d:1246404

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().