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<p>Bladed disks in turbomachinery are susceptible to mistuning due to manufacturing and wear, leading to vibration localization and high-cycle fatigue. This study proposes an approach integrating a variable-speed reduced-order model (VSROM) with blade tip timing (BTT) measurements for mistuning identification and model updating. Building upon a theoretical framework for arbitrary operational speeds, experimental investigations were conducted on both stationary and rotating bladed disks. Vibration data were acquired via a laser displacement sensor for the stationary case and BTT for the rotating case. The identified mistuning parameters were used to update the finite element model of the bladed disk. The updated model’s accuracy was validated by comparing its predictions of modal characteristics and dynamic responses against the experimental results, with the maximum error of 1.17 % and 2.44 %, respectively.</p>

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Experimental investigation on mistuning identification and model updating of rotating bladed disk

  • 期刊论文

  • 发表日期：

    2026年5月11日

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  • Weifeng Long,
  • Yugang Chen,
  • Jiaxuan Gao,
  • Daitong Wei,
  • Hongkun Li,
  • Haifeng Hu

摘要

Bladed disks in turbomachinery are susceptible to mistuning due to manufacturing and wear, leading to vibration localization and high-cycle fatigue. This study proposes an approach integrating a variable-speed reduced-order model (VSROM) with blade tip timing (BTT) measurements for mistuning identification and model updating. Building upon a theoretical framework for arbitrary operational speeds, experimental investigations were conducted on both stationary and rotating bladed disks. Vibration data were acquired via a laser displacement sensor for the stationary case and BTT for the rotating case. The identified mistuning parameters were used to update the finite element model of the bladed disk. The updated model’s accuracy was validated by comparing its predictions of modal characteristics and dynamic responses against the experimental results, with the maximum error of 1.17 % and 2.44 %, respectively.