Surface Stitching of a Wind Turbine Blade Using Digital Image Correlation

2012 ◽  
pp. 277-284 ◽  
Author(s):  
Bruce LeBlanc ◽  
Christopher Niezrecki ◽  
Peter Avitabile ◽  
James Sherwood ◽  
Julie Chen
Keyword(s):  
Digital Image Correlation ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Digital Image ◽  
Wind Turbine Blade ◽  
Image Correlation

Experimental study on static characteristics of wind turbine blade with digital image correlation method

2015 ◽  
Vol 36 (5) ◽  
pp. 811-817
Author(s):  
Wang Xiao-ping ◽  
Hu Xue-bing ◽  
Zhou Hua-fei ◽  
Qin Liang-zhong ◽  
Zhu Pei-dong ◽  
...  
Keyword(s):  
Experimental Study ◽  
Digital Image Correlation ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Digital Image ◽  
Correlation Method ◽  
Wind Turbine Blade ◽  
Image Correlation ◽  
Static Characteristics ◽  
Digital Image Correlation Method

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

2012 ◽  
Author(s):  
Javad Baqersad ◽  
Jennifer Carr ◽  
Troy Lundstrom ◽  
Christopher Niezrecki ◽  
Peter Avitabile ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Dynamic Characteristics ◽  
Digital Image ◽  
Wind Turbine Blade ◽  
Image Correlation ◽  
3D Digital Image Correlation

Full-field inspection of a wind turbine blade using three-dimensional digital image correlation

2011 ◽  
Author(s):  
Bruce LeBlanc ◽  
Christopher Niezrecki ◽  
Peter Avitabile ◽  
Julie Chen ◽  
James Sherwood ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Digital Image ◽  
Three Dimensional ◽  
Wind Turbine Blade ◽  
Image Correlation ◽  
Full Field ◽  
Field Inspection

Damage detection and full surface characterization of a wind turbine blade using three-dimensional digital image correlation

2013 ◽  
Vol 12 (5-6) ◽  
pp. 430-439 ◽  
Author(s):  
Bruce LeBlanc ◽  
Christopher Niezrecki ◽  
Peter Avitabile ◽  
Julie Chen ◽  
James Sherwood
Keyword(s):  
Digital Image Correlation ◽  
Damage Detection ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Digital Image ◽  
Surface Characterization ◽  
Three Dimensional ◽  
Wind Turbine Blade ◽  
Image Correlation

scholarly journals Non-Destructive Evaluation of Damage Mechanisms in Composite Sandwich Structure

2008 ◽  
Vol 13-14 ◽  
pp. 105-114
Author(s):  
Amit Puri ◽  
Alexander D. Fergusson ◽  
I. Palmer ◽  
Andrew Morris ◽  
F. Jensen ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Structural Integrity ◽  
Wind Turbine Blade ◽  
Image Correlation ◽  
Box Girder ◽  
Full Field ◽  
Composite Sandwich ◽  
Non Destructive ◽  
Dic Technique

This paper presents the experimental results obtained of flexurally loaded wind turbine blade cross section material. All material was extracted from a wind turbine blade box girder and testing was conducted in four point configuration. The aim was to gain an understanding of the structural integrity of this lightweight material as it deforms in flexure. To allow for thorough analysis, digital image correlation (DIC) was used to produce full field strain maps of the deforming specimens. Results highlight the capability of the DIC technique to identify regions of failure, as well as the aspects responsible for them. Overall, the results present a foundation for tests on larger substructure, and eventually integration into manufacturing and maintenance aspects of the industry.

Error Assessment of Blade Deformation Measurements on a Multi-Megawatt Wind Turbine Based on Digital Image Correlation

2015 ◽  
Author(s):  
Jan Winstroth ◽  
Joerg R. Seume
Keyword(s):  
Digital Image Correlation ◽  
Wind Turbine ◽  
Error Estimation ◽  
Digital Image ◽  
Rotor Blades ◽  
Image Correlation ◽  
Optical Measurements ◽  
Full Field ◽  
Out Of Plane ◽  
Plane Bending

Optical full-field measurement methods such as Digital Image Correlation (DIC) provide a new opportunity for measuring deformation and vibration in wind turbine rotor blades during operation, in high spatial and temporal resolution. Recent field tests on a multi-megawatt wind turbine have demonstrated the vast potential for full scale testing, however little is known about the overall accuracy of DIC measurements on wind turbines. The present work proposes using a virtual 3D wind turbine model for estimating the error associated with the optical measurements. The entire setup is simulated a priori and accurate error estimation becomes possible. The error estimation for a 3.2 MW wind turbine suggests that relative out-of-plane bending of the rotor blades can be measured with an accuracy of ±9.1 mm, relative in-plane bending of the rotor blades can be measured with an accuracy of ±10.2 mm, and relative blade torsion can be measured with an accuracy of ±0.07 deg. This corresponds to a relative error of 0.46% for out-of-plane bending, 1.11% for in-plane bending and 5.46% for blade torsion.

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