This paper proposes a metallic fracture estimation method that combines digital image correlation and convolutional neural networks, based on proven theory the strain distribution of component changes when crack occurs in structure. By using correlation, achieves noncontact nondestructive sensing, as well high interference immunity. We utilize system to produce graphs reflect occurrences propag...

This paper presents a detailed review of the use digital image correlation on structural health monitoring. The durability structures like bridges and buildings etc., need to monitor continuously. Structural monitoring plays vital role in assets planning. Detailed knowledge concerning civil engineering applications is presented this paper.

Using concepts from statistics and probability theory and a least squares matching metric, the effects of various parameters on image plane motion measurements are demonstrated. Specifically, theoretical formulae defining the effect of noise in the intensity pattern, image contrast and interpolation method on both bias and variability in one-dimensional motion measurements are presented. Image ...

The performance of four digital image correlation criteria widely used in strain mapping applications has been critically examined using three sets of digital images with various whole-field deformation characteristics. The deformed images in these image sets are digitally modified to simulate the less-than-ideal image acquisition conditions in an actual experiment, such as variable brightness,...

Citation: Tsirigotis A and Deligianni DD (2017) Combining Digital Image Correlation and Acoustic Emission for Monitoring of the Strain Distribution until Yielding during Compression of Bovine Cancellous Bone. Front. Mater. 4:44. doi: 10.3389/fmats.2017.00044 combining Digital image correlation and acoustic emission for Monitoring of the strain Distribution until Yielding during compression of B...