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Volume 37 Issue 3
Mar.  2011
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Journal of Beijing University of Aeronautics and Astronautics  > 2011  >  37(3): 316-319.
ZHENG Lei, HU Weiduo, LIU Changet al. Large crater identification method based on deep learning[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(5): 994-1004. doi: 10.13700/j.bh.1001-5965.2019.0342(in Chinese)
Citation: Tao Guoquan, Wei Yuchen, Lü mingyun, et al. Modal tests and properties analysis on truss structure of large scale carbon fiber[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(3): 316-319. (in Chinese)
shu

Modal tests and properties analysis on truss structure of large scale carbon fiber

  • School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 05 Nov 2010
  • Publish Date: 31 Mar 2011
    Abstract
  • Based on stochastic subspace system identification method,the modal properties of the truss structure of large scale, light weight, high strength, and force bearing type carbon fiber composites were investigated by ambient excitation. On basis of the characteristics of the truss structure itself, three fundamental assumptions were forwarded. In conjunction with the constraint conditions of the truss structure in practical applications, a modal test scheme for the truss of large scale carbon fiber composites was designed. Through detailed analysis of the test results, the characteristics of frequency, damp, and vibration mode were summarized. By hammer impacts test and finite element method, the test results were comparatively analyzed. It is proved that the three fundamental assumptions are reasonable, the test scheme is effective, the analytical results of the test are reliable. The research results are of essential meaning to the design of aerostat structures and their health monitoring.

     

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