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Robustness in the dynamic response of turbine blades with under-platform dampers
Mechanical Systems and Signal Processing ( IF 7.9 ) Pub Date : 2025-05-31 , DOI: 10.1016/j.ymssp.2025.112879
Alfredo Fantetti, Tom Mace, Adrian Jones, Christoph Schwingshackl
Mechanical Systems and Signal Processing ( IF 7.9 ) Pub Date : 2025-05-31 , DOI: 10.1016/j.ymssp.2025.112879
Alfredo Fantetti, Tom Mace, Adrian Jones, Christoph Schwingshackl
This article investigates the sources of uncertainty in the dynamic response of turbine blades equipped with under-platform dampers (UPDs). While UPDs play a critical role in energy dissipation and vibration control, their effectiveness is influenced by various uncertainty factors, including contact pressure distribution, manufacturing variability, wear, loading history and many others. Among these, uncertainty due to initial loading conditions and assembly procedures is particularly significant, as small variations in the damper’s positioning lead to measurable differences in the system’s response. Through a combination of experimental testing and numerical simulations, this study quantifies these effects and provides practical guidelines for improving the reliability of both measurements and simulations. The findings highlight the need for UPD designs that minimize assembly-induced variability, and stress the importance of accurately matching experimentally measured pressure distributions with numerical models.
中文翻译:
带平台下减振器的涡轮叶片的动态响应稳健性
本文研究了配备平台下阻尼器 (UPD) 的涡轮叶片动态响应的不确定性来源。虽然 UPD 在能量耗散和振动控制方面起着关键作用,但它们的有效性受各种不确定性因素的影响,包括接触压力分布、制造可变性、磨损、负载历史等。其中,由于初始加载条件和装配程序引起的不确定性尤为显著,因为减振器位置的微小变化会导致系统响应的可测量差异。通过实验测试和数值模拟的结合,本研究量化了这些影响,并为提高测量和模拟的可靠性提供了实用指南。研究结果强调了 UPD 设计的需求,以最大限度地减少装配引起的可变性,并强调了将实验测量的压力分布与数值模型精确匹配的重要性。
更新日期:2025-05-31
中文翻译:

带平台下减振器的涡轮叶片的动态响应稳健性
本文研究了配备平台下阻尼器 (UPD) 的涡轮叶片动态响应的不确定性来源。虽然 UPD 在能量耗散和振动控制方面起着关键作用,但它们的有效性受各种不确定性因素的影响,包括接触压力分布、制造可变性、磨损、负载历史等。其中,由于初始加载条件和装配程序引起的不确定性尤为显著,因为减振器位置的微小变化会导致系统响应的可测量差异。通过实验测试和数值模拟的结合,本研究量化了这些影响,并为提高测量和模拟的可靠性提供了实用指南。研究结果强调了 UPD 设计的需求,以最大限度地减少装配引起的可变性,并强调了将实验测量的压力分布与数值模型精确匹配的重要性。