Advances in Digital Image Correlation (DIC)

• Main Author: Passieux, Jean-Charles (auth)
• Other Authors: Perie, Jean-Noel (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering & technology; n/a; image classification; non-contact video gauge; X-ray microtomography; initial condition; accuracy; digital image correlation technique; digital volume correlation; optical coherence elastography; automated fiber placement (AFP); copper plate; rupture speed; layered material; non-liner dynamic deformation; composite inspection; automated systems; finite element method; strain measurement; virtual fields method; digital volumetric speckle photography; spatiotemporal evolution; non-contact measurement; composite materials; strain; interior 3D deformation; high-speed camera; gradient correlation functions; spatial sampling rate; stress intensity factor; static analysis; finite element model updating; fracture process zone; elevated temperature; geosciences; monitoring; red sandstone; structural testing; cross dichroic prism; arch structures; traceable calibration; stress concentration; fault geometry; slip velocity; uniaxial tensile test; experimental mechanics; multi-perspective; image registration; super pressure balloon; stress-strain relationship; error; measurement; earthquake rupture; acoustic emission technique; composite structures; 3D deformation; traction continuity across interfaces; DIC; laser speckles; image shadowing; dynamic interfacial rupture; Digital image correlation (DIC); strain gage; inverse method; digital image correlation; characterization of composite materials; automated composite manufacturing; woven composite beam; machine learning; experimental-numerical method; 3D digital image correlation; underwater impulsive loading; image cross-correlation; interlaminar tensile strength; large deformation; single camera; image correlation
• Online Access: DOAB: download the publication; DOAB: description of the publication

Digital image correlation (DIC) has become the most popular full field measurement technique in experimental mechanics. It is a versatile and inexpensive measurement method that provides a large amount of experimental data. Because DIC takes advantage of a huge variety of image modalities, the technique allows covering a wide range of space and time scales. Stereo extends the scope of DIC to non-planar cases, which are more representative of industrial use cases. With the development of tomography, digital volume correlation now provides access to volumetric data, enabling the study of the inner behavior of materials and structures.However, the use of DIC data to quantitatively validate models or accurately identify a set of constitutive parameters remains challenging. One of the reasons lies in the compromises between measurement resolution and spatial resolution. Second, the question of the boundary conditions is still open. Another reason is that the measured displacements are not directly comparable with usual simulations. Finally, the use of full field data leads to new computational challenges.