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Digital Image Correlation: Visualizing Strain Evolution and Coordinated Buckling within CNT Arrays by In Situ Digital Image Correlation (Adv. Funct. Mater. 22/2012)
Author(s) -
Maschmann Matthew R.,
Ehlert Gregory J.,
Park Sei Jin,
Mollenhauer David,
Maruyama Benji,
Hart A. John,
Baur Jeffery W.
Publication year - 2012
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.201290134
Subject(s) - digital image correlation , microscale chemistry , materials science , strain (injury) , carbon nanotube , deformation (meteorology) , buckling , nanoscopic scale , digital image analysis , digital image , nanomechanics , visualization , image (mathematics) , nanotechnology , composite material , image processing , artificial intelligence , computer science , computer vision , atomic force microscopy , mathematics , biology , mathematics education , anatomy
Digital image correlation is used for the first time to measure the spatially resolved strain evolution of compressed carbon nanotube columns. A consistent local critical strain criterion of 5% is discovered, unifying otherwise disparate column behavior. As reported by Jeffery W. Baur and co‐workers on page 4686 , this new capability enables the visualization of the inhomogeneous deformation inherent in many nanoscale and microscale materials.

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