Pressure pulsation in fluid machinery is a critical factor that can significantly affect system performance and structural integrity. In particular, medium-to-low head and low-speed turbine systems are often subjected to repetitive pressure loading, making them susceptible to fatigue damage. However, quantitative fatigue evaluation tailored for such conditions remains limited. This study employs Computational Fluid Dynamics (CFD) to predict unsteady pressure loads on turbine blades under a specific operating condition. These loads are then transformed into time-varying stress histories through a quasi-static structural model based on the Finite Element Method (FEM). Standard fatigue assessment tools, including the Rainflow Counting method and Miner’s Rule, are subsequently applied to estimate the fatigue life. The analysis revealed that the dominant excitation frequencies were not harmonics of the rotor speed, but rather low-frequency components significantly lower than the blade’s natural frequencies. This frequency separation ensures minimal risk of resonance. Moreover, the stress amplitudes and number of cycles were found to be very small, indicating that the blades operate under quasi-static loading conditions with negligible fatigue damage. These findings validate the physical soundness of the proposed quasi-static fatigue analysis framework. Importantly, while this framework was developed for medium-to-low speed turbine systems, it also shows strong potential as a rapid fatigue screening tool in other rotating machinery where a clear separation exists between excitation and natural frequencies. By avoiding the need for expensive transient dynamic simulations, the framework provides a practical and efficient approach to fatigue life estimation in both design and diagnostic contexts.
Oh et al. (2026) studied this question.