EconPapers    
Economics at your fingertips  
 

Mechanistic insights into fatigue behavior of pump-turbine at different guide vanes opening: A study of dynamic stress response and chaos phenomena

Mingkun Fang, Quanwei Liang, Ruofu Xiao and Ran Tao

Energy, 2025, vol. 320, issue C

Abstract: Pumped storage plays a critical role in energy storage, contributing significantly to grid load balancing and system stability. The dynamic stress signal characteristics of pump-turbine guide vanes vary considerably under different load conditions, making it challenging to predict fatigue life during stable operation. In this study, numerical simulations were employed to analyze the internal flow and structural dynamic stress signals of guide vanes under three different loads, focusing on the pump operating condition with a guide vane opening of 22°. Variational Mode Decomposition (VMD) is utilized to decompose the dynamic stress signals, and the relationship between the characteristic frequencies of the dynamic stress signals and the unsteady flow features in the internal flow field is examined. Finally, the Miner fatigue prediction method is applied to estimate the fatigue life of guide vanes under different loads. The results indicate that the periodic stress variations caused by unsteady flow accelerate the structural fatigue of the guide vanes. Under low flow condition, dynamic stress signals exhibit high behavioral complexity and dispersion. These findings provide valuable data to inform maintenance and inspection schedules for guide vanes.

Keywords: Pump-turbine; Stress fatigue; Chaos characteristics; Guide vane load (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225008710
Full text for ScienceDirect subscribers only

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:eee:energy:v:320:y:2025:i:c:s0360544225008710

DOI: 10.1016/j.energy.2025.135229

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-25
Handle: RePEc:eee:energy:v:320:y:2025:i:c:s0360544225008710