TomoWarp2: A local digital volume correlation code

Erika Tudisco; Edward Andò; Rémi Cailletaud; Stephen A. Hall

doi:10.1016/j.softx.2017.10.002

TomoWarp2: A local digital volume correlation code

Erika Tudisco, Edward Andò, Rémi Cailletaud, Stephen A. Hall

University Grenoble Alpes

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Sammanfattning

TomoWarp2 is a Python based code that allows full-field vector displacements to be measured between 2D or 3D image sets, based on a local approach of Digital Image Correlation. These displacements can be used to calculate the complete 2D or 3D strain tensor field to study, for example, heterogeneous deformation responses of materials during loading. The code is provided with a GUI, and can handle different input and output formats. Moreover, new features can be implemented with the flexible code architecture.

Originalspråk	engelska
Sidor (från-till)	267-270
Antal sidor	4
Tidskrift	SoftwareX
Volym	6
DOI	https://doi.org/10.1016/j.softx.2017.10.002
Status	Published - 2017 jan. 1

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10.1016/j.softx.2017.10.002

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title = "TomoWarp2: A local digital volume correlation code",

abstract = "TomoWarp2 is a Python based code that allows full-field vector displacements to be measured between 2D or 3D image sets, based on a local approach of Digital Image Correlation. These displacements can be used to calculate the complete 2D or 3D strain tensor field to study, for example, heterogeneous deformation responses of materials during loading. The code is provided with a GUI, and can handle different input and output formats. Moreover, new features can be implemented with the flexible code architecture.",

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author = "Erika Tudisco and Edward And{\`o} and R{\'e}mi Cailletaud and Hall, {Stephen A.}",

year = "2017",

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TomoWarp2: A local digital volume correlation code

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