• Title of article

    Identification of vibration excitations from acoustic measurements using near field acoustic holography and the force analysis technique

  • Author/Authors

    Pézerat، نويسنده , , C. and Leclère، نويسنده , , Q. and Totaro، نويسنده , , N. and Pachebat، نويسنده , , M.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    17
  • From page
    540
  • To page
    556
  • Abstract
    This study presents a method of using acoustic holography and the force analysis technique to identify vibration sources from radiated noise measurements. The structure studied is a plate excited by a shaker on which three measurements were performed: the first is a reference measurement of plate velocity obtained by scanning laser vibrometry, the second is based on sound pressure measurements in the near field of the structure, and the third is the measurement of normal acoustic velocities by using a p-U probe recently developed by Microflown Technologies. This was followed by the application of classical NAH, known as pressure-to-velocity holography and velocity-to-velocity holography to predict the plate velocity field from acoustic measurements at distances of 1 and 5 cm. Afterwards, the force analysis technique, also known as the RIFF technique, is applied with these five data sets. The principle is to inject the displacement field of the structure into its equation of motion and extract the resulting force distribution. This technique requires regularization done by a low-pass filter in the wavenumber domain. Apart from pressure-to-velocity holography at 5 cm, the reconstructed force distribution allows localizing the excitation point in the measurement area. FAT regularization is also shown to improve results as its cutoff wavenumber is optimized with the natural wavenumber of the plate. Lastly, quantitative force values are extracted from force distributions at all frequencies of the band 0–4 kHz studied and compared with the force spectrum measured directly by a piezoelectric sensor.
  • Journal title
    Journal of Sound and Vibration
  • Serial Year
    2009
  • Journal title
    Journal of Sound and Vibration
  • Record number

    1399409