Support of Dynamic Measurements Through Similitude Formulations

Up to now, similitude methods have been used in order to overcome the typical drawbacks of experimental testing and numerical simulations by reconstructing the full-scale model behavior from that of the scaled model. The novelty of this work is the application of similitude theory not as a tool for...

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Bibliographic Details
Published in:Experimental techniques (Westport, Conn.) Conn.), 2022-02, Vol.46 (1), p.81-102
Main Authors: Casaburo, A., Petrone, G., Meruane, V., Franco, F., De Rosa, S.
Format: Article
Language:English
Subjects:
Algorithms
Aluminum
Asymptotic methods
Characterization and Evaluation of Materials
Chemistry and Materials Science
Digital imaging
Dynamic response
Materials Science
Mathematical models
Metal foams
Prototypes
Reconstruction
Research Paper
Scale models
Signal processing
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Summary:Up to now, similitude methods have been used in order to overcome the typical drawbacks of experimental testing and numerical simulations by reconstructing the full-scale model behavior from that of the scaled model. The novelty of this work is the application of similitude theory not as a tool for predicting the prototype dynamic response, but for supporting, and eventually validating, experimental measurements polluted by noise. Two Aluminium Foam Sandwich (AFS) plates are analyzed with Digital Image Correlation (DIC) cameras. First, an algorithm for blind source separation problems is used to extract information about the excitation; then, SAMSARA (Similitude and Asymptotic Models for Structural-Acoustic Research Applications) similitude method is applied to both the force spectra and velocity responses of prototype and model. The reconstruction of force and velocity curves demonstrates that the similitude results are coherent with the quality of the experimental measurements: when the spatial pattern in resonance is recognizable, then the curves overlap. Instead, when the displacement field of just one model is not well identified, the reconstruction exhibits discrepancies. Therefore, similitude methods reveal to be an interesting tool for understanding if a set of measurements is reliable or not and their application should not be underestimated, especially in the light of the expanding range of approaches which can extract important information from noisy observations.
ISSN:0732-8818
1747-1567
DOI:10.1007/s40799-021-00457-1