TomoWarp2: A local digital volume correlation code

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.

[1]  W. F. Ranson,et al.  Determination of displacements using an improved digital correlation method , 1983, Image Vis. Comput..

[2]  J. M. Paz-Garcia,et al.  4D analysis of the microstructural evolution of Si-based electrodes during lithiation: Time-lapse X-ray imaging and digital volume correlation , 2016 .

[3]  J. Desrues,et al.  Mesure du champ de déformation d'un objet plan par la méthode stéréophotogrammétrique de faux relief , 1984 .

[4]  Gioacchino Viggiani,et al.  Evolution of deformation and breakage in sand studied using X-ray tomography , 2017 .

[5]  G. Viggiani,et al.  Strain localisation and grain breakage in sand under shearing at high mean stress: insights from in situ X-ray tomography , 2015 .

[6]  Gioacchino Viggiani,et al.  Discrete and continuum analysis of localised deformation in sand using X-ray mu CT and volumetric digital image correlation , 2010 .

[7]  Gioacchino Viggiani,et al.  Volumetric Digital Image Correlation Applied to X‐ray Microtomography Images from Triaxial Compression Tests on Argillaceous Rock , 2007 .

[8]  Mgd Marc Geers,et al.  Computing strain fields from discrete displacement fields in 2D-solids , 1996 .

[9]  E. Bar-Kochba,et al.  A Fast Iterative Digital Volume Correlation Algorithm for Large Deformations , 2015 .

[10]  Giulia M.B. Viggiani,et al.  Soil deformation around a penetrating cone in silt , 2013 .

[11]  David S. Eastwood,et al.  Quantifying Bulk Electrode Strain and Material Displacement within Lithium Batteries via High‐Speed Operando Tomography and Digital Volume Correlation , 2015, Advanced science.

[12]  S. Hall,et al.  Characterization of the bone-metal implant interface by Digital Volume Correlation of in-situ loading using neutron tomography. , 2017, Journal of the mechanical behavior of biomedical materials.

[13]  Gioacchino Viggiani,et al.  Characterization of shear and compaction bands in a porous sandstone deformed under triaxial compression , 2011 .

[14]  Stephen Hall,et al.  Full-field Measurements of Strain Localisation in Sandstone by Neutron Tomography and 3D-Volumetric Digital Image Correlation , 2014 .

[15]  Gaël Varoquaux,et al.  The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.

[16]  R. Butterfield,et al.  A Stero-Photogrammetric Method for Measuring Displacement Fields , 1970 .

[17]  M. Heath,et al.  Towards High Performance Digital Volume Correlation , 2011 .

[18]  Xie Huimin,et al.  Performance of sub-pixel registration algorithms in digital image correlation , 2006 .

[19]  J. DeJong,et al.  Observing strain localisation processes in bio-cemented sand using x-ray imaging , 2011 .

[20]  S. Hall,et al.  Grain-scale experimental investigation of localised deformation in sand: a discrete particle tracking approach , 2012 .

[21]  Stephen Hall,et al.  A methodology for 7D warping and deformation monitoring using time-lapse seismic data , 2006 .

[22]  Anand Asundi,et al.  Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review , 2009 .

[23]  Franccois Hild,et al.  Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties – a Review , 2006 .