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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Pyramidal adaptive meshing for Digital Image Correlation dealing with cracks

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Sciuti, V. F. [1] ; Vargas, R. [1, 2] ; Canto, R. B. [3, 1] ; Hild, F. [2]
Total Authors: 4
[1] Univ Fed Sao Carlos, Grad Program Mat Sci & Engn PPGCEM, BR-13565905 Sao Carlos, SP - Brazil
[2] Univ Paris Saclay, LMT Lab Mecan & Technol, CNRS, ENS Paris Saclay, F-91190 Gif Sur Yvette - France
[3] Fed Univ Sao Carlos UFSCar, Dept Mat Engn DEMa, BR-13565905 Sao Carlos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Web of Science Citations: 0

A mesh refinement procedure designed for Digital Image Correlation analyses of cracked media is proposed, based on the pixel color for an artificial case, and the crack opening displacement field for two experimental cases. Although evidence that this procedure can improve every case if tiny elements are sought, it is also shown that the size of matrices and consequently, the computational cost can be reduced while maintaining accuracy, especially for low surface crack densities (e.g., single macrocrack). (AU)

FAPESP's process: 10/20920-9 - Use of the digital image correlation technique in the fracture energy test of refractory castables.
Grantee:Danilo Bassil Dower Stafuzza
Support Opportunities: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 18/15266-0 - Detection and quantification of fracture mechanisms of ceramics at room and high temperatures using digital image correlation
Grantee:Rodrigo Bresciani Canto
Support Opportunities: Regular Research Grants
FAPESP's process: 18/23081-0 - Fracture mechanisms of refractories at room and elevated temperatures analyzed with wedge splitting tests and image correlation
Grantee:Rafael Vargas Maginador
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 18/02801-4 - Identification of material models for numerical simulation of powder pressing
Grantee:Rodrigo Bresciani Canto
Support Opportunities: Regular Research Grants