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Advancement of Optical Methods in Experimental Mechanics, Volume 3 pp 225–238Cite as

A Multi-camera Stereo DIC System for Extracting Operating Mode Shapes of Large Scale Structures

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Abstract

Stereophotogrammetry and three-dimensional (3D) digital image correlation (DIC) have recently received attention for the collection of operating data on large wind turbine blades due to their non-contacting, rapid, and distributed measurement capability. Unlike conventional methods that only provide information at a few discrete points on a wind turbine blade, photogrammetry can provide a wealth of distributed data over the entire structure. One of the challenges with using a camera pair to observe a structure is the limited field of view. Because utility-scale wind turbines are so large and the physical limitations within a blade test facility, a single pair of DIC cameras may not be able to accurately measure the desired area of the structure. Thus, in order to perform a DIC measurement on a utility-scale wind turbine blade, it is desirable to couple several pairs of cameras to simultaneously measure the deformations of the entire blade. The measured deformations of each measured section of the blade needs to be stitched together to extract the deformation for the entire blade. In this paper, a multi-camera 3D DIC measurement is used to identify resonant frequencies and corresponding operating shapes of an individual 2.3-m wind turbine blade placed in a cantilevered boundary condition. The setup is composed of two pairs of synchronized stereo cameras in which each pair of cameras measures a part of the blade’s deformation. The individual measurements include the geometries and the displacements from each pair of cameras that are mapped into a universal coordinate system. Afterwards, operational modal analysis is carried out to extract mode shapes of the cantilevered blade and the extracted results are compared to a validated finite element model for the blade. The results obtained using two camera pairs and DIC demonstrate the great potential of the proposed approach to identify the entire dynamic behavior of utility-scale wind turbine blades.

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Author information

Authors and Affiliations

  1. Structural Dynamics and Acoustic Systems Laboratory, One University Avenue, Lowell, MA, 01854, USA

    Peyman Poozesh, Javad Baqersad, Christopher Niezrecki & Peter Avitabile

Authors
  1. Peyman Poozesh
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  2. Javad Baqersad
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  3. Christopher Niezrecki
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  4. Peter Avitabile
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Corresponding author

Correspondence to Peyman Poozesh .

Editor information

Editors and Affiliations

  1. Sandia National Laboratories, Livermore, USA

    Helena Jin

  2. Department of Chemistry and Physics, Southeastern Louisiana University, Hammond, Louisiana, USA

    Sanichiro Yoshida

  3. Dipartimento Meccanica Matematica e Management, Politecnico Di Bari, Bari, Italy

    Luciano Lamberti

  4. National Chung Hsing University, Graduate Institute of Precision Eng., Taiwan, China

    Ming-Tzer Lin

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© 2016 The Society for Experimental Mechanics, Inc.

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Poozesh, P., Baqersad, J., Niezrecki, C., Avitabile, P. (2016). A Multi-camera Stereo DIC System for Extracting Operating Mode Shapes of Large Scale Structures. In: Jin, H., Yoshida, S., Lamberti, L., Lin, MT. (eds) Advancement of Optical Methods in Experimental Mechanics, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-22446-6_29

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  • DOI: https://doi.org/10.1007/978-3-319-22446-6_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22445-9

  • Online ISBN: 978-3-319-22446-6

  • eBook Packages: EngineeringEngineering (R0)

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