• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2021, Vol. 57 ›› Issue (4): 174-181.doi: 10.3901/JME.2021.04.174

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Dynamic Load Identification Method of Strongly Coupled Structures

CHEN Daoyun1,2, XIAO Qian1, SUN Shouguang2, MOU Minghui3   

  1. 1. Key Laboratory of Conveyance and Equipment(Ministry of Education), East China Jiaotong University, Nanchang 330013;
    2. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044;
    3. Network & Information Center, East China Jiaotong University, Nanchang 330013
  • Received:2020-02-18 Revised:2020-07-12 Online:2021-02-20 Published:2021-04-28

Abstract: The dynamic load identification method of the strong coupling structure is studied with the bogie frame of high speed train as the research object. The structural characteristics of the frame and the distribution of the load system are analyzed. The strain response of the strongly coupled boundary measuring point is obtained by loading the gearbox load condition and the disturbing load condition, taking the gearbox load identification as an example. Through cubic spline space interpolation method, the strain distribution in the strongly coupled region under three working conditions is obtained, and the zero cross point of the strain contour of the two interference load conditions is selected as the load identification measuring point of the gear box. The calibrated divergence point is obtained by the calibration test of the load-strain transfer coefficient, and the final load-strain coefficient of the gear box is obtained by regression analysis. The time-domain data of the gearbox load system are obtained by measuring the actual railway line. The time-frequency diagram and frequency spectrum of the gearbox load system are obtained by using short-time Fourier transform. The effectiveness of the load decoupling method is verified by frequency domain analysis.

Key words: strong coupling structure, load identification, spline interpolation, calibration test, regression analysis, time-frequency analysis

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