• DocumentCode
    1665471
  • Title

    Load reconstruction on a missile structure using the Pseudo-Inverse methods

  • Author

    Vishwakarma, R. ; Turner, D. ; Lewis, A. ; Chen, Y. ; Houghton, P. ; Xu, Y.

  • Author_Institution
    Univ. of Hertfordshire, Hatfield, UK
  • fYear
    2010
  • Firstpage
    100
  • Lastpage
    105
  • Abstract
    A missile during air carriage is subjected to high vibratory forces. These forces consequently impose high levels of stress on the attachment points to the aircraft. A repetitive application of stress causes fatigue. However, since the vibratory forces cannot be measured directly at the interface, an inverse method utilizing missile accelerometer data has been used to determine the forces. This paper presents two techniques of reconstructing loads. Both techniques utilize a frequency domain method and the Pseudo-Inverse method, although the second procedure incorporating a normal modes analysis is perhaps better suited for embedding within a Health and Usage Monitoring System (HUMS). Both methodologies enable discrete dynamic loads, which are applied to a finite element model in the time domain, to be successfully reconstructed. Consequently, by identifying forces on a missile structure successfully, the presented methodologies enable a better structural integrity assessment to be undertaken.
  • Keywords
    finite element analysis; frequency-domain analysis; inverse problems; missiles; time-domain analysis; vibrations; air carriage; aircraft; discrete dynamic load; finite element model; frequency domain method; load reconstruction; missile accelerometer data; missile structure; pseudo-inverse method; vibratory forces; Acceleration; Accelerometers; Artificial neural networks; Atmospheric modeling; Biomedical monitoring; Monitoring; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification and Control (ICMIC), The 2010 International Conference on
  • Conference_Location
    Okayama
  • Print_ISBN
    978-1-4244-8381-5
  • Electronic_ISBN
    978-0-9555293-3-7
  • Type

    conf

  • Filename
    5553586