Volume 36 Issue 8
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Article Navigation >  Journal of Aerospace Power  > 2021  >  36(8): 1690-1701
ZHU Yuda, QIAO Baijie, FU Shunguo, AO Chunyan, CHEN Xuefeng. Dynamic strain reconstruction of rotating blade based on response transmissibility[J]. Journal of Aerospace Power, 2021, 36(8): 1690-1701. doi: 10.13224/j.cnki.jasp.20200440
Citation: ZHU Yuda, QIAO Baijie, FU Shunguo, AO Chunyan, CHEN Xuefeng. Dynamic strain reconstruction of rotating blade based on response transmissibility[J]. Journal of Aerospace Power, 2021, 36(8): 1690-1701. doi: 10.13224/j.cnki.jasp.20200440
shu

Dynamic strain reconstruction of rotating blade based on response transmissibility

doi: 10.13224/j.cnki.jasp.20200440

  • 1. School of Mechanical and Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

  • 2. The State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710061, China;

  • 3. Sichuan Gas Turbine Establishment, Aero Engine Corporation of China, Chengdu 610500, China

  • Received Date: 2020-10-21
  • Publish Date: 2021-08-28
    Abstract
  • A dynamic strain reconstruction method of rotating blades based on response transmissibility was proposed. Based on the characteristics of system strain frequency response, an analytical expression of the strain-strain response transmissibility with respect to the modal shape was obtained within the frequency domain,and the mapping between the measured and unmeasured strains on the blade was established. Experiments for the blade dynamic strain measurement were conducted under the high-speed rotating condition. Then, the finite element model of the blade was established and updated by using the first four natural frequencies from experiments. The modal analysis of the rotating blades was conducted considering the prestress of rotational speed. The blade strain mode shapes were extracted from the finite element model and the strain-strain response transmissibility on single-mode resonance was calculated. Experimental results showed that the relative errors between the measured dynamic strains measured by strain gauges and the reconstructed dynamic strains based on the response transmissibility were less than 10%.

     

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