2022
DOI: 10.1016/j.jsv.2022.117071
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Distinguishing geometrically identical instruments: Possibilistic identification of material parameters in a parametrically model order reduced finite element model of a classical guitar

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Cited by 9 publications
(22 citation statements)
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“…We focused on these material properties since they have been proved to be important for determining the vibroacoustic properties of complete instruments 23,[27][28][29] . Indeed, their correlation with the first modes of the instrument is found to be higher than others 30 . Moreover, luthiers usually focus on the Young's modulus along the principal dimensions of the wedge as they can infer them empirically 31 and they are used to define acoustic indicators for instruments (e.g.…”
Section: Resultsmentioning
confidence: 73%
“…We focused on these material properties since they have been proved to be important for determining the vibroacoustic properties of complete instruments 23,[27][28][29] . Indeed, their correlation with the first modes of the instrument is found to be higher than others 30 . Moreover, luthiers usually focus on the Young's modulus along the principal dimensions of the wedge as they can infer them empirically 31 and they are used to define acoustic indicators for instruments (e.g.…”
Section: Resultsmentioning
confidence: 73%
“…Previous results on the use of metamaterials for thin wooden plates 27 show that, to a certain degree, the density and stiffness of the plates can be purposefully controlled. By matching the density and the longitudinal stiffness of the top and the back plate, we can be certain that the modifications of the braces will be minimal 6 . The implications of these results are far-reaching in the field of instrument making: By quantifying how close we can come to a desired vibrational response with a given material, we have taken guesswork out of the equation in guitar-making.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, a projection-based Krylov approach for parametric model order reduction was applied to reduce the number of degrees of freedom in an efficient surrogate model to n = 600 while keeping a good approximation of the full-order model's results up to 1000 Hz. This was reached by matching the transfer function of 4 inputs and outputs distributed over the plate at 20 frequency shifts equally distributed in the frequency range and 60 parameter expansion points created with a Sobol sequence as explained in 6 . General information on model order reduction can be found in 43,44 while a review of parametric model order reduction techniques is given in 45 , and the used software is described in 46 .…”
Section: Materials Parameter Identificationmentioning
confidence: 99%
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