Response prediction of elastic aircraft based on global transfer function

Minzhao Zhang, Yingchao Wu, Bin Li

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The unknown vibration has a significant negative effect on the elastic aircraft health. Therefore, it is necessary to predict the vibration response of the structure accurately. However, most existing methods have poor prediction effects when the target points exist operational force. To overcome this shortcoming, we propose a response prediction method based on the global transfer function (GTF). The GTF predicts the target responses directly using the reference responses, which neither requires operational force nor relies on the dynamics model. Further more, the contribution of the target point excitation can be effectively compensated and corrected. Experiments of finite element model and real-life systems is used to validate the effectiveness and accuracy of GTF. Effects of sensor location, number of sensors, excitation type, excitation application method and noise level are studied in detail. In addition, the GTF and response prediction results based on direct transfer function (DTF) are compared. The results show that the GTF could predict vibration response effectively and satisfy industrial requirements. Consequently, the GTF could be a promising computational method for response prediction of elastic aircraft.[Figure not available: see fulltext.]

Translated title of the contribution基于全局传递函数的弹性飞机响应预测
Original languageEnglish
Article number523057
JournalActa Mechanica Sinica/Lixue Xuebao
Volume39
Issue number11
DOIs
StatePublished - Nov 2023

Keywords

  • Elastic aircraft
  • Global transfer function
  • Least sqaure method
  • Vibration response prediction

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