Digital Image Correlation
Digital image correlation is one of the fields of excellence in the Engineering Materials research group. The technique is based on computer vision techniques for full-field displacement measurement in mechanical testing.
We develop mathematical inverse methods integrated with digital image correlation (DIC) algorithms and experimental procedures that push the state of the art in DIC, especially with regard to localised deformations and computational methods that have a physical interpretation. We have unique expertise in designing patterns to optimise the performance of DIC methods, providing an unparalleled combination of displacement resolution and spatial resolution of the displacement field measured by DIC. This technology is also applied outside of the mechanical testing laboratories, enabling innovative solutions for condition monitoring and wide-area strain sensors.
In combination with inverse methods and computational modelling of measurements, full-field displacement measurement methods like DIC yield exceptionally rich data sets for characterising the mechanical behaviour of materials and determining the parameters in the material models used to describe it.
Personnel: Professor Sven Bossuyt, Professor Pedro Vilaça, Professor Iikka Virkkunen.
Aalto University research themes: Materials and sustainable use of resourses, ICT and digitalisation.