Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions

IF 5.7 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
R. Roig, X. Sánchez-Botello, O. de la Torre, Xavier Ayneto, C. Högström, B. Mulu, X. Escaler
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引用次数: 0

Abstract

The current renewable energy market forces hydraulic turbines to operate for longer periods of time at off-design and transient conditions. Their life expectancy is then decreased due to the wear provoked by flow instabilities and stochastic flow excitations. This study presents an experimental investigation into the fatigue damage induced on the runner blades of a Kaplan turbine model when working at speed-no-load (SNL), part load (PL) and during ramps of load. The unit was equipped with on-board sensors on the blades and the shaft as well as with off-board sensors installed on the supporting structure and the draft tube cone. The results reveal that operation at SNL induces more fatigue damage on the runner blades than at PL. The damage is then mainly induced by stochastic flow excitations at SNL and by the rotating mode of the rotating vortex rope (RVR) at PL. The ramps of load, when crossing each operating condition, cause levels of damage similar to those found in stationary operation. Finally, it was proved that the blade fatigue damage can be estimated from on-board shaft measurements at any condition. However, the blade fatigue damage can only be estimated using off-board measurements when the RVR is fully developed at PL.
轴流转桨式水轮机模型在非设计工况和瞬态工况下的疲劳损伤分析
目前的可再生能源市场迫使水力涡轮机在非设计和瞬态条件下运行更长时间。由于流动不稳定和随机流动激励引起的磨损,它们的预期寿命随之降低。本文对Kaplan涡轮转轮叶片在空速、部分负荷和负荷斜坡工况下的疲劳损伤进行了试验研究。该装置在叶片和轴上配备了机载传感器,并在支撑结构和尾水管锥上安装了机载传感器。结果表明,在SNL工况下,转轮叶片的疲劳损伤比在PL工况下更严重。这种损伤主要是由SNL工况下的随机流动激励和PL工况下旋转涡绳(RVR)的旋转模式引起的。负荷的斜坡在穿过每个工况时造成的损伤程度与静止工况相似。最后,证明了在任何条件下,叶片的疲劳损伤都可以通过机载轴的测量来估计。然而,只有当RVR在PL完全开发完成后,才能使用船外测量来估计叶片的疲劳损伤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.80
自引率
12.10%
发文量
181
审稿时长
4.8 months
期刊介绍: Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.
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