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Proceedings Paper

Dynamic characteristics of a wind turbine blade using 3D digital image correlation
Author(s): Javad Baqersad; Jennifer Carr; Troy Lundstrom; Christopher Niezrecki; Peter Avitabile; Micheal Slattery
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Paper 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.

Paper Details

Date Published: 20 April 2012
PDF: 9 pages
Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83482I (20 April 2012); doi: 10.1117/12.915377
Show Author Affiliations
Javad Baqersad, Univ. of Massachusetts Lowell (United States)
Jennifer Carr, Univ. of Massachusetts Lowell (United States)
Troy Lundstrom, Univ. of Massachusetts Lowell (United States)
Christopher Niezrecki, Univ. of Massachusetts Lowell (United States)
Peter Avitabile, Univ. of Massachusetts Lowell (United States)
Micheal Slattery, Southwest Windpower (United States)


Published in SPIE Proceedings Vol. 8348:
Health Monitoring of Structural and Biological Systems 2012
Tribikram Kundu, Editor(s)

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