Flinovia—Flow Induced Noise and Vibration Issues and Aspects-Ii 2018
DOI: 10.1007/978-3-319-76780-2_22
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Inference of Random Excitations from Contactless Vibration Measurements on a Panel or Membrane Using the Virtual Fields Method

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Cited by 3 publications
(2 citation statements)
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“…Known loads were reconstructed in [22] with good accuracy for certain reconstruction window sizes which were found empirically. Deflectometry and the VFM were also used to identify pressure auto-spectra of spatially averaged random excitations in [27]. The results agreed well with microphone array measurements, except at the structural resonance frequencies and for poor signal-to-noise-ratios.…”
Section: Introductionsupporting
confidence: 52%
“…Known loads were reconstructed in [22] with good accuracy for certain reconstruction window sizes which were found empirically. Deflectometry and the VFM were also used to identify pressure auto-spectra of spatially averaged random excitations in [27]. The results agreed well with microphone array measurements, except at the structural resonance frequencies and for poor signal-to-noise-ratios.…”
Section: Introductionsupporting
confidence: 52%
“…Transversal displacements can be then obtained by performing an inverse gradient on the slope (a spatial integration since α i (x, y) ∂w ∂i (x, y), with i = x, y). It is underlined that in the presented deflectometry measurements and other works (O'Donoughue et al, 2019a), local spatial phase variations Φ are evaluated using a phase-stepping approach with a windowed discrete Fourier transform (WDFT) algorithm (Sur and Grédiac, 2016). Other approaches could be used.…”
Section: Deflectometry Techniquementioning
confidence: 99%