“Finite-Element” Displacement Fields Analysis from Digital Images: Application to Portevin–Le Châtelier Bands

By G. Besnard, François Hild, Stéphane Roux. 2006

750 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/b38ca068d10947b8736976b34c79a2a9e4091e38

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

Identification of elasto-visco-plastic parameters and characterization of Lüders behavior using digital image correlation and the virtual fields method (2008, background): “Localization effects can even occur at low strain rates in presence of Lüders effects [3] or PortevinLeChatelier effects [4].”
Stress Intensity Factor Gauging by Digital Image Correlation: Application in Cyclic Fatigue (2007, neutral): “The displacement field is measured by using a Q4-DIC algorithm [21].”
An extended and integrated digital image correlation technique applied to the analysis of fractured samples (2009, methodology): “, 2007), based upon a Q4 correlation algorithm (Besnard et al., 2006).”
Assessment of Digital Image Correlation Measurement Errors: Methodology and Results (2009, neutral): “image [40,41].”
Shape, displacement and mechanical properties from isogeometric multiview stereocorrelation (2015, methodology): “To mention but one example, nite-element based DIC procedures were proposed ten years ago [5, 32, 4] and have been used in various applications since then [22].”
Shock enhancement of cellular structures under impact loading: Part I Experiments (2007, methodology): “By considering an image sequence, the displacement fields between images are calculated by a “finite element” correlation algorithm (Besnard et al., 2006).”
Extended digital image correlation with crack shape optimization (2008, methodology): “Among them, finite element shape functions [3] are particularly attractive because of the natural interface they provide between the measurement of the displacement field and a numerical modeling of it based on a constitutive equation.”
From pictures to extended finite elements: extended digital image correlation (X-DIC) (2007, methodology): “A common baseline analysis consists in prescribing known displacements to the ROI and evaluate the displacement uncertainty [4].”
Multiscale Full‐Field Strain Measurements for Micromechanical Investigations of the Hydromechanical Behaviour of Clayey Rocks (2010, background): “[17] specialised to the particular case of rigid translation shape functions, MicroDIC errors being slightly larger.”
Analysis of image series through global digital image correlation (2012, methodology): “Although among the global DIC approaches [30, 18] a finite-element based development is the most common [20, 21], other variants exist.”
Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, methodology): “In particular, by introducing continuous representation of displacement fields using a B-spline function [111] or a finite element for mulation [112, 113], a global correlation-based DIC technique can determine the displacements at all calculation points at a time by explicitly ensuring the global d”