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8 September 1994 Space-frequency regression method for nonmodal modeling of spatially dense data
Jose Roberto de F. Arruda, Sergio Augusto Vianna do Rio
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Proceedings Volume 2358, First International Conference on Vibration Measurements by Laser Techniques: Advances and Applications; (1994) https://doi.org/10.1117/12.185314
Event: Vibration Measurements by Laser Techniques: First International Conference, 1994, Ancona, Italy
Abstract
When spatially-dense mobility shapes are measured with laser techniques, it is often impracticable to use Experimental Modal Analysis to model the experimental data. To deal with this situation, a space-frequency regression method using Chebicheff polynomials and two-dimensional discrete Fourier series approximation is proposed in this paper. The proposed regressive approach was implemented and verified using a simple experimental example consisting of a freely-suspended rectangular aluminum plate. A reduced and smoothed model, which takes advantage of the sinusoidal spatial pattern of structural mobility shapes and the polynomial frequency domain patter of FRFs, is thus obtained. The reduced model can be economically stored, and, later, used to produce smoothed curves with any desired frequency and spatial resolutions.
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Jose Roberto de F. Arruda and Sergio Augusto Vianna do Rio "Space-frequency regression method for nonmodal modeling of spatially dense data", Proc. SPIE 2358, First International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, (8 September 1994); https://doi.org/10.1117/12.185314
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KEYWORDS
Data modeling
Aluminum
Modal analysis
Shape analysis
Spatial resolution
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