Topic
Digital image correlation
About: Digital image correlation is a research topic. Over the lifetime, 7842 publications have been published within this topic receiving 132166 citations.
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TL;DR: In this paper, the authors applied the Finite Element Updating inverse method to several sample geometries by the means of Digital Image Correlation, and the full-field data were experimentally obtained from three different geometry exhibiting increasing strain fields heterogeneities.
Abstract: The present paper aims at applying the Finite Element Updating inverse method to several sample geometries by the means of Digital Image Correlation. The full-field data are experimentally obtained from three geometries exhibiting increasing strain fields heterogeneities. For each test, a Finite Element model is built and boundary conditions are duplicated from the measured displacements at the sample borders. Field comparisons are performed at several time steps until fracture occurs and a Levenberg–Marquardt method is used to solve the optimization problem. Six parameters of an anisotropic elastic–plastic constitutive model are identified and validated through the simulation of a deep-drawing forming operation. Results show that identification quality is improved when heterogeneous strain fields are used.
76 citations
TL;DR: In this article, a digital image correlation (DIC) technique is developed to identify the strain and crack variations in a masonry wall, which is non-destructive for inspecting the whole displacement and strain field.
Abstract: The detection of crack development in a masonry wall forms an important study for investigating the earthquake resistance capability of the masonry structures. Traditionally, inspecting the structure and documenting the findings were done manually. The procedures are time-consuming, and the results are sometimes inaccurate. Therefore, the digital image correlation (DIC) technique is developed to identify the strain and crack variations. This technique is non-destructive for inspecting the whole displacement and strain field. Tests on two masonry wall samples were performed to verify the performance of the digital image correlation method. The phenomena of micro cracks, strain concentration situation and nonuniform deformation distribution which could not have been observed preciously by manual inspection are successfully identified using DIC. The crack formation tendencies on masonry wall can be observed at an earlier stage by this proposed method. These results show a great application potential of the DIC technique for various situations such as inspecting shrinkage-induced cracks in fresh concrete, masonry and reinforced concrete structures, and safety of bridges.
75 citations
TL;DR: A novel subpixel registration algorithm withGaussian windows to implicitly optimize the subset sizes by adjusting the shape of Gaussian windows in a self-adaptive fashion with the aid of a so-called weighted zero-normalized sum-of-squared difference correlation criterion is proposed.
75 citations
TL;DR: In this paper, shape descriptors based on Zernike polynomials having the properties of orthogonality and rotational invariance are shown to be powerful decomposition kernels for defining the shape or map of the strain distribution.
75 citations
TL;DR: In this article, an incremental mean-field model is developed for the prediction of transformation induced plasticity (TRIP) in multiphase steel, where the partitioning of strain between softer and harder constituents is computed based on an elastic-plastic Mori-Tanaka approach that accounts for the progressive transformation of austenite into martensite.
75 citations