Parameter choice for optimized digital image correlation

Optimized patterns for digital image correlation

This work presents theoretical background on a novel class of strain sensor patterns. A combination of morphological image processing and Fourier analysis is used to characterize gray-scale images, according to specific criteria, and to synthesize patterns that score particularly well on these criteria. The criteria are designed to evaluate, with a single digital image of a pattern, the suitabi...

Fracture Parameter Evaluation Using Digital Image Correlation Technique

Fracture and failure characterization of materials have been a crucial issue regarding reliable structural design. Stress Intensity Factor (SIF) is one of the most commonly used material parameters for more purpose. This study utilized Compact Tension (CT) Specimen test to determine mode-I SIF of polycarbonate material. Force, displacement and images of the near crack tip region were simultaneo...

On the Use of Acoustic Emission and Digital Image Correlation for Welded Joints Damage Characterization

A series of tests have been conducted to investigate fatigue damage characterization in corroded welded steel plates using structural health monitoring (SHM) techniques. Acoustic Emission (AE) is a non-destructive testing (NDT) technique with potential applications for locating and monitoring fatigue cracks in service. In the present work, AE is implemented to characterize damage during crack e...

Digital Image Correlation

Digital Image Correlation for High-Speed Flywheels

The objective of the present work is to evaluate the suitability of using 3D digital image correlation (DIC) for measuring strains on high-speed flywheels. A two-camera DIC setup was used to characterize the effect of image blur on de-correlation and to measure strains on the surface of three 32-cm diameter plastic disks rotating in air at low speeds (2,000 rpm). In one set of experiments, imag...