Modal Parameter Estimation of a Compliant Panel Using Phase-based Motion Magnification and Stereoscopic Digital Image Correlation
Autor: | Mustafa Musta, Noel T. Clemens, Leon Vanstone, Marc Eitner, Jayant Sirohi |
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Rok vydání: | 2020 |
Předmět: |
Physics
Digital image correlation Frequency band Mechanical Engineering Acoustics Phase (waves) 02 engineering and technology Deformation (meteorology) 01 natural sciences 010309 optics 020303 mechanical engineering & transports Signal-to-noise ratio Modal 0203 mechanical engineering Mechanics of Materials Normal mode 0103 physical sciences Coherence (signal processing) |
Zdroj: | Experimental Techniques. 45:287-296 |
ISSN: | 1747-1567 0732-8818 |
Popis: | This paper demonstrates the use of broad-band phase based motion magnification (PMM) to improve the modal parameter estimation from high-speed stereoscopic digital image correlation (DIC). PMM is used as a diagnostic technique to investigate the free vibration response of a panel. The compliant panel, consisting of a thin polycarbonate sheet, forms a test section wall in a supersonic blow-down wind tunnel, where it is used to investigate supersonic fluid-structure interaction in the presence of shock wave boundary layer interaction. The panel is excited by an impact hammer and the transient deformation is captured using high-speed cameras. The original and motion-magnified images are input to a digital image correlation algorithm to calculate the out-of-plane deformation of the panel. The measured deformation is used to extract the modal parameters of the compliant panel. By using PMM as a preprocessing tool in a broad frequency band containing multiple structural modes, the signal to noise ratio of the measured deformation is improved. The use of PMM improves the estimated mode shapes, increasing the MAC value of the first mode compared to FEM predictions from 0.29 to 0.99. Motion magnification also improves the coherence between measured input force and panel deformation by up to 13% if suitable parameters are chosen. |
Databáze: | OpenAIRE |
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