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.

Experimental Investigations of Fracture Process in Concrete by Means of X-ray Micro-computed Tomography

Abstract: The paper describes investigation results on fracture in notched concrete beams under quasi-static three-point bending by the X-ray micro-computed tomography. The two-dimensional (2D) and three-dimensional image procedures were used. Attention was paid to width, length, height and shape of cracks along beam depth. In addition, the displacements on the surface of concrete beams during the deformation process were measured with the 2D digital image correlation technique in order to detect strain localisation before a discrete crack occurred. The 2D fracture patterns in beams were numerically simulated with the finite-element method using an isotropic damage constitutive model enhanced by a characteristic length of micro-structure. Concrete was modelled as a random heterogeneous four-phase material composed of aggregate, cement matrix, interfacial transitional zones and air voids. The advantages of the X-ray micro-computed tomography were outlined.

Digital Image Mechanical Identification (DIMI)

Abstract: A continuous pathway from digital images acquired during a mechanical test to quantitative identification of a constitutive law is presented herein based on displacement field analysis. From images, displacement fields are directly estimated within a finite element framework. From the latter, the application of the equilibrium gap method provides the means for rigidity field evaluation. In the present case, a reconditioned formulation is proposed for a better stability. Last, postulating a specific form of a damage law, a linear system is formed that gives a direct access to the (non-linear) damage growth law in one step. The two last procedures are presented, validated on an artificial case, and applied to the case of a biaxial tension of a composite sample driven up to failure. A quantitative estimate of the quality of the determination is proposed, and in the last application, it is shown that no more than 7% of the displacement field fluctuations are not accounted for by the determined damage law.

Genuine full-field deformation measurement of an object with complex shape using reliability-guided digital image correlation

Abstract: Digital image correlation (DIC) is an easy-to-implement yet powerful optical metrology for deformation measurement. The technique measures the displacement of a point of interest by matching the subsets surrounding the same point located in the reference image and the deformed image. Although the technique is simple in principle, the existing DIC technique has several deficiencies. For example, for the points located near or at the boundaries of a specified region of interest (ROI), the selected square subsets surrounding these points may contain unwanted or foreign pixels from background image or other regions. In the existing DIC method, these points are either intentionally excluded from calculation or automatically removed after calculation, and leads to the absence of deformation information for the boundary points. Besides, existing DIC technique is prone to yield erroneous measurement for specimen with geometric discontinuities. In this paper, two approaches are developed to overcome the deficiencies of existing DIC technique. First, a modified Zero-mean Normalized Sum of Squared Differences (ZNSSD) criterion is defined for the correlation analysis of subsets surrounding the boundary points. Second, considering the possible complex shape of the ROI, a scanning strategy guided by the correlation coefficients of computed points is proposed to ensure reliable computation between consecutive points. With these two measures, the deformation of all the points including those located near or at the ROI boundaries can be automatically, reliably, and accurately determined. The improved DIC technique is universally applicable to the genuine full-field deformation measurement of objects with complex or arbitrary shapes. Two typical experimental image pairs are processed to evaluate the performance of the proposed method, and the results successfully demonstrate its effectiveness and practicality.

Large deformation and slippage mechanism of plain woven composite in bias extension

Abstract: Stamping operation is the most efficient way to form textile composites in industry During a stamping process, the material undergoes large shear deformation, which may lead to two major failure mechanisms: out-of-plane wrinkling and in-plane slippage The present paper mainly focuses on the large deformation mechanism and slippage of the plain woven composite during a bias extension Bias extension experiments were carried out under different conditions In addition to the data processing on the experimental curve, digital image correlation analysis was conducted on the test photographs, from which three typical deformation phases are identified A theoretical model is then proposed to interpret the large deformation and slippage phenomenon from an energy point of view