Dynamic characteristics of a wind turbine blade using 3D digital image correlation

Javad Baqersad; Jennifer Carr; Troy Lundstrom; Christopher Niezrecki; Peter Avitabile; Micheal Slattery

doi:10.1117/12.915377

20 April 2012 Dynamic characteristics of a wind turbine blade using 3D digital image correlation

Javad Baqersad, Jennifer Carr, Troy Lundstrom, Christopher Niezrecki, Peter Avitabile, Micheal Slattery

Proceedings Volume 8348, Health Monitoring of Structural and Biological Systems 2012; 83482I (2012) https://doi.org/10.1117/12.915377
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

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.

Citation Download Citation

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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