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Deformation and failure of PrintCast A356/316 L composites: Digital image correlation and finite element modeling
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Digital Image Correlation Engine v.2.0
DICe is a 2D and stereo image correlation software package that determines motion and deformation of objects from sequences of digital images.
Propagation of Noise Uncertainty Through Virtual Strain Gauge Formulations for 2D Digital Image Correlation
The effect of displacement uncertainty is examined on 2-dimensional strain, calculated using linear surfaces fitted to the displacement field. A classical engineering error propagation method is used to calculate uncertainty in Green-Lagrangian strain calculations. The derived uncertainty is compared to a Monte Carlo simulation and discrepancies under 2% are seen between these two methods. The effect of virtual strain gauge size, displacement uncertainty, and boundaries on the region of interest on the strain uncertainty are considered. Here, an exponential decay relationship is observed between strain uncertainty and virtual strain gauge size, while a linear relationship is seen between strain and displacement uncertainty. For boundaries in the region of interest, strain uncertainty is affected by the reduced number of points available to perform the regression.
Adjoint-based Calibration of Plasticity Model Parameters from Digital Image Correlation Data
Parameter estimation for mechanical models of plastic deformation utilized in nuclear weapons systems is a laborious process for both experimentalists and constitutive modelers and is critical to producing meaningful numerical predictions. In this work we derive an adjoint-based optimization approach for a stabilized, large-deformation J 2 plasticity model that is considerably more computationally efficient but no less accurate than current state of the art methods. Unlike most approaches to model calibration, we drive the inversion procedure with full-field deformation data that can be experimentally measured through established digital image or volume correlation techniques. We present numerical results for two and three dimensional model problems and comment on various directions of future research.
Fatigue Crack Closure Analysis Using Digital Image Correlation
Fatigue crack closure during crack growth testing is analyzed in order to evaluate the critieria of ASTM Standard E647 for measurement of fatigue crack growth rates. Of specific concern is remote closure, which occurs away from the crack tip and is a product of the load history during crack-driving-force-reduction fatigue crack growth testing. Crack closure behavior is characterized using relative displacements determined from a series of high-magnification digital images acquired as the crack is loaded. Changes in the relative displacements of features on opposite sides of the crack are used to generate crack closure data as a function of crack wake position. For the results presented in this paper, remote closure did not affect fatigue crack growth rate measurements when ASTM Standard E647 was strictly followed and only became a problem when testing parameters (e.g., load shed rate, initial crack driving force, etc.) greatly exceeded the guidelines of the accepted standard.
Exploring Microstructural Descriptors in Elastomeric Foams Using Digital Image Correlation and Statistical Analysis.
Abstract not provided.
Evaluation of Fracture Toughness of Sandstone and Shale Using Digital Image Correlation
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Digital image correlation at long working distances: The influence of diffraction limits
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Application of digital image correlation for in-situ deformation studies using transmission electron microscopy
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Study of decoupled charge blasting based on high-speed digital image correlation method
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