A Robust Finite Element-based Filter for Digital Image and Volume Correlation Displacement Data

Digital Image and Volume Correlation (DIC DVC) are non-contact measurement techniques that used during mechanical testing for quantitative mapping of full-field displacements. The relatively high noise floor DIC DVC, which is exasperated when differentiated to obtain strain fields, often requires some form filtering. Techniques such as median filters or least-squares fitting perform poorly over displacement gradients, the localisation near a crack tip, discontinuities across flanks large pores. As such, filtering does not always effectively remove outliers in field. This work proposes robust finite element-based filter detects replaces data using element method-based approximation. A method formulated surface (2D Stereo DIC) volumetric (DVC) measurements. Its validity demonstrated analytical experimental around cracks, obtained from full volume It shown can be filtered way identified replaced. Moreover, smoothed whilst maintaining nature underlying field steep gradients discontinuities. post-processing tool DVC will support use an experimental–numerical technique.