Traditional Normarski differential interference contrast (DIC) microscopy is a very powerful method for imaging nonstained biological samples. However, one of its major limitations is the nonquantitative nature of the imaging. To overcome this problem, we developed a quantitative DIC microscopy method based on off-axis sample self-interference. The digital holography algorithm is applied to obt...

Introduction: Accurately detecting cracks is crucial for assessing the health of materials. Manual detection methods are time-consuming, leading to development automatic techniques based on image processing and machine learning. These utilize morphological material deformation analysis through Digital Image or Volume Correlation (DIC/DVC) identify cracks. The strain field derived from DIC/DVC t...

A low cost, quasi real-time elastography system, displacement-gradient elastography (DGE), was developed by applying digital image correlation (DIC) method and smoothing algorithm to B-mode ultrasound images. In order to achieve quasi real-time elastogram display, a new fast pattern matching algorithm, decoupled cross-correlation (DCC), was proposed and validated. By applying the DGE to various...

The hygroscopic behavior of wood has a strong influence on its mechanical performance, yet the moisture gradients within the growth ring structure have not been sufficiently investigated. The main challenge is that moisture variations are coupled with strong sample deformation, which complicates the spatial referencing of moist and dry states. In this work, neutron imaging (NI) for the detectio...

The DIC Challenge 2.0 follows on from the work accomplished in first Digital Image Correlation (DIC) Reu et al. (Experimental Mechanics 58(7):1067, 1). second challenge was required to better quantify spatial resolution of 2D-DIC codes. goal this paper is outline methods and images for community use evaluate performance their codes improve implementation 2D-DIC. This covers creation new analysi...

in the bonded region. Nevertheless, they may suffer due to the presence of defects in bond line and at the interface or due to improper curing process. While defects like voids, cracks and delaminations present in the adhesive bond line may be detected using different NDE methods, interfacial defects in the form of kissing bond may go undetected. Attempts using advanced ultrasonic methods like ...

Convolutional Neural Networks (CNNs) are now commonly used in the computer vision community, particular for optical flow estimation. Some attempts to use such tools measure displacement and strain fields from pairs of reference/deformed speckle images (like Digital Image Correlation) have been recently reported literature. The aim this work is twofold. first one customize a state-of-the-art CNN...

Characterisation of materials subject to high velocity deformation is necessary as many materials behave differently under such conditions. It is particularly important for accurate numerical simulation of high strain rate events. High velocity servo-hydraulic test machines have enabled material testing in the strain rate regime from 1 – 500 ε/s. The range is much lower than that experienced un...

Spatially resolved measurement of creep deformation across weldments at high temperature cannot be achieved using standard extensometry approaches. In this investigation, a Digital Image Correlation (DIC) based system has been developed for long-term high-temperature creep strain measurement in order to characterise the material deformation behaviour of separate regions of a multi-pass weld. Th...

12 Abstract An experimental methodology has been developed 13 to study materials deformed at high temperatures using high 14 resolution ex situ digital image correlation (DIC). This study is 15 an advancement of techniques that have used sub-grain level 16 strain measurements and linked them to microstructural data 17 obtained with electron back-scatter diffraction (EBSD). The 18 approach utili...