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20 April 2012 Dynamic characteristics of a wind turbine blade using 3D digital image correlation
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Abstract
Digital image correlation (DIC) has been becoming increasingly popular as a means to perform structural health monitoring because of its full-field, non-contacting measurement ability. In this paper, 3D DIC techniques are used to identify the mode shapes of a wind turbine blade. The blade containing a handful of optical targets is excited at different frequencies using a shaker as well as a pluck test. The response is recorded using two PHOTRON™ high speed cameras. Time domain data is transferred to the frequency domain to extract mode shapes and natural frequencies using an Operational Modal Approach. A finite element model of the blade is also used to compare the mode shapes. Furthermore, a modal hammer impact test is performed using a more conventional approach with an accelerometer. A comparison of mode shapes from the photogrammetric, finite element, and impact test approaches are presented to show the accuracy of the DIC measurement approach.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Javad Baqersad, Jennifer Carr, Troy Lundstrom, Christopher Niezrecki, Peter Avitabile, and Micheal Slattery "Dynamic characteristics of a wind turbine blade using 3D digital image correlation", Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83482I (20 April 2012); https://doi.org/10.1117/12.915377
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