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Erschienen in:
2023 | OriginalPaper | Buchkapitel
33. Application of Black-Box NIXO to Experimental Measurements
verfasst von : Michael Kwarta, Matthew S. Allen
Erschienen in: Nonlinear Structures & Systems, Volume 1
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Abstract
Nonlinear identification methods seek to create a mathematical representation of a mechanical system, which can then be used to: (1) predict the structure’s motion or (2) design, redesign or optimize the structure. In a prior work the Nonlinear Identification through eXtended Outputs (NIXO) algorithm was found to work well if the model form is known a priori. Moreover, the black-box NIXO-based algorithm was successful for the data generated numerically. However, when it comes to actual experimental measurements, the black-box identification procedure has proven more challenging. This work builds on the previous efforts seeking to create a black-box NIXO and to demonstrate it on experimental measurements. The identification attempt is performed on a 3D-printed flat beam, and the results are validated against experimental measurements collected during sweep sine vibration testing.