Advances in Digital Image Correlation (DIC)
Passieux, Jean-Charles
Advances in Digital Image Correlation (DIC) - MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (252 p.)
Open Access
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.
Creative Commons
English
books978-3-03928-515-0 9783039285150 9783039285143
10.3390/books978-3-03928-515-0 doi
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
Advances in Digital Image Correlation (DIC) - MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (252 p.)
Open Access
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.
Creative Commons
English
books978-3-03928-515-0 9783039285150 9783039285143
10.3390/books978-3-03928-515-0 doi
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