In this project the scope is to develop a method for 3D imaging and quantitative analysis of internal deformation and strain in inhomogeneous materials.
The investigated material is imaged in 3D using x-ray microtomography - first in unloaded state and then after deformation.
The two sets of 3D image data are then analysed by a 3D pattern recognition technique called Digital Volume Correlation (DVC) (see “methods” for more information), which results in a 3D displacement field that describes the intermediate deformation process within the material. Finally, from the obtained displacements it is possible to determine the 3D strains in the material due to the structural deformation.
This technique have for example been used for investigation of deformation processes inside small scale wood samples exposed to bending and for studies of compaction processes in granular materials.
A thorough description of this project is given in this PhD-thesis.