DIC data filtering proposal for complex environments
Résumé
A filtering method has been developed to provide reliable experimental results obtained using 3D DIC stereo correlation measurement method in cases noise cannot be controlled. This method based on numerical post processing, has shown to be efficient for experiments lead in complex environments, when noise sources cannot be controlled nor quantified (wind, vibrations, variable lighting, humidity…). Furthermore, this work describes a reliable filter parameter optimisation procedure.