Frequency Response Function Identification Through ArUco Markers Displacement Detection

Experimental setup featuring a Sentek Dynamics L1024 with PA115 Power Amplifier

ABSTRACT | DOWNLOAD PAPER

When flexible structures are excited at or close to one of their natural frequencies, most of the energy is released and the fatigue damage significantly increases. Due to this, the assessment of modal components (i.e., natural frequencies, damping and mode shapes) is fundamental in structural dynamics. While experimental investigations are generally performed through full-contact techniques, using accelerometers and modal hammers, this research proposes a non-contact Frequency Response function identification measurement technique based on ArUco markers displacement detection. The approach is presented on a randomly excited flexible structure, where two ArUco markers are used for input and output displacement measurement. Established techniques are used for results validation. An open-source Python package was implemented with the proposed methodology.

Keywords: ArUco, Python, Imaging, Structural Dynamics

Republished with permission from SEM (Society for Experimental Mechanics)