Investigation of crack growth in functionally graded materials using digital image correlation
By J. Abanto-Bueno, John Lambros. 2002
277 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/cdf4b0a554ce8e6053ec26a6e46a4cb91954961c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
In Computer Vision and Pattern Recognition
In Mechanics of Materials
- François Hild
- Stéphane Roux
- J. Réthoré
- David Lecompte
- J. Vantomme
- B. Wattrisse
- Jean-José Orteu
- M. Bornert
Citations in the corpus
- Assessment of Digital Image Correlation Measurement Errors: Methodology and Results (2009, methodology): “Digital image correlation (DIC) has shown over twenty years to be a very valuable tool for fullfield displacement measurements [9–28].”
- Stress intensity factor measurements from digital image correlation: post-processing and integrated approaches (2006, methodology): “Digital image correlation has already been utilized to analyze cracks in homogeneous and heterogeneous materials [5, 6].”
- Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks (2009, background): “Fracture mechanics has benefited from DIC results [23, 24].”
- Quality assessment of speckle patterns for digital image correlation (2006, methodology): “The same procedure is used in different studies in the case of actual experiments [14-19].”
- Identification of a crack propagation law by digital image correlation (2012, unknown): “The displacement field is subsequently post-processed (via least squares fit) by using reference fields, namely, Williams’ series relevant for small scale yielding when the latter region is excluded from the analysis, by resorting to a least squares technique [1, 21, 22, 5].”