Extended digital image correlation with crack shape optimization

Processing Digital Image for Measurement of Crack Dimensions in Concrete

The elements of the concrete structure are most frequently affected by cracking. Crack detection is essential to ensure safety and performance during its service life. Cracks do not have a regular shape, in order to achieve the exact dimensions of the crack; the general mathematical formulae are by no means applicable. The authors have proposed a new method which aims to measure the crack dimen...

Fatigue crack growth in Haynes 230 single crystals: an analysis with digital image correlation

Fatigue crack growth was investigated in Haynes 230, a nickel-based superalloy. Anisotropic stress intensity factors were calculated with a least squares algorithm using the displacements obtained from digital image correlation. Crack opening/sliding levels were measured by analysing the relative displacement of crack flanks. Reversed crack tip plastic zones were calculated adopting an anisotro...

Pointwise Digital Image Correlation Using the Genetic Algorithm Optimization Method

In this paper, the use of the Genetic Algorithm (GA) optimization method for measuring displacement fields with the Digital Image Correlation (DIC) technique is investigated. The conventional kinematic description of deformations within a subset are restricted to constant displacements along with constant first or second order displacement gradients throughout the subset, which effectively acts...

Digital Image Correlation

Crack Monitoring and Strain Measurement in Asphalt Mixture by Digital Image Correlation

A full field method for the description of in-plane strain fields is applied for improving Asphalt Mixture cracking behaviour insights. A Digital Image Correlation (DIC) system based on the Least Square Matching technique is used to compute strains and depict crack path in the process from microcrack initiation to failure. A Brazilian test was performed using hole-notched specimens. The test ge...