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Advances in Digital Image Correlation (DIC)



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Autore: Passieux Jean-Charles Visualizza persona
Titolo: Advances in Digital Image Correlation (DIC) Visualizza cluster
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 electronic resource (252 p.)
Soggetto non controllato: 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
Persona (resp. second.): PerieJean-Noel
Sommario/riassunto: 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.
Altri titoli varianti: Advances in Digital Image Correlation
Titolo autorizzato: Advances in Digital Image Correlation (DIC)  Visualizza cluster
ISBN: 3-03928-515-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910404087503321
Lo trovi qui: Univ. Federico II
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