scholarly journals Analysis of strain localization during tensile tests by digital image correlation

2001 ◽  
Vol 41 (1) ◽  
pp. 29-39 ◽  
Author(s):  
B. Wattrisse ◽  
A. Chrysochoos ◽  
J.-M. Muracciole ◽  
M. Némoz-Gaillard
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Strain Localization ◽  
Tensile Tests ◽  
Image Correlation

scholarly journals Robust Filtering Options for Higher-Order Strain Fields Generated by Digital Image Correlation

2020 ◽  
Vol 1 (4) ◽  
pp. 174-192
Author(s):  
Nedaa Amraish ◽  
Andreas Reisinger ◽  
Dieter H. Pahr
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Tensile Tests ◽  
Image Correlation ◽  
Field Strain ◽  
Strain Fields ◽  
Full Field ◽  
Low Pass ◽  
Discrete Measurement ◽  
Mean Filtering

Digital image correlation (DIC) systems have been used in many engineering fields to obtain surface full-field strain distribution. However, noise affects the accuracy and precision of the measurements due to many factors. The aim of this study was to find out how different filtering options; namely, simple mean filtering, Gaussian mean filtering and Gaussian low-pass filtering (LPF), reduce noise while maintaining the full-field information based on constant, linear and quadratic strain fields. Investigations are done in two steps. First, linear and quadratic strain fields with and without noise are simulated and projected to discrete measurement points which build up strain window sizes consisting of 6×5, 12×11, and 26×17 points. Optimal filter sizes are computed for each filter strategy, strain field type, and strain windows size, with minimal impairment of the signal information. Second, these filter sizes are used to filter full-field strain distributions of steel samples under tensile tests by using an ARAMIS DIC system to show their practical applicability. Results for the first part show that for a typical 12×11 strain window, simple mean filtering achieves an error reduction of 66–69%, Gaussian mean filtering of 72–75%, and Gaussian LPF of 66–69%. If optimized filters are used for DIC measurements on steel samples, the total strain error can be reduced from initial 240−300 μstrain to 100–150 μstrain. In conclusion, the noise-floor of DIC signals is considerable and the preferable filters were a simple mean with s*¯ = 2, a Gaussian mean with σ*¯ = 1.7, and a Gaussian LPF with D0*¯ = 2.5 in the examined cases.

Use of Digital Image Correlation to Track Strain Evolution in Compressed Masonry Piers

2015 ◽  
Vol 732 ◽  
pp. 337-340
Author(s):  
Jakub Antoš ◽  
Václav Nežerka ◽  
Pavel Tesárek
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Strain Localization ◽  
Material Model ◽  
Element Model ◽  
Image Correlation ◽  
Full Field ◽  
Constitutive Material Model ◽  
The Cost ◽  
Constitutive Material

In order to develop a constitutive material model and to verify its consistency when implemented in a computational code, it is necessary to understand the material and to carry out a comprehensive experimental analysis. This can be a challenging task in the case of composite materials and structures, such as masonry, when using conventional measurements. Strain gauges and allow recording strains at a limited number of discrete points and do not provide sufficient amount of data, thus increasing the cost of the analysis. From that reason a full-field non-contact measurements, such as Digital Image Correlation (DIC), became very popular and valuable for analysis of structures subjected to mechanical loading and precise detection of the onset of strain localization. The presented study deals with tracking the strain localization using DIC in the case of masonry piers loaded by the combination of bending and compression. In such case the strain localizes into more compliant mortar joints while the complete collapse occurs when the masonry blocks fail to transfer tensile stress due to transversal expansion. The obtained data will be used for the validation of a finite element model to predict the behavior of masonry structures.

scholarly journals Damage investigation in A319 aluminum alloy by digital image correlation during in-situ tensile tests

2016 ◽  
Vol 2 ◽  
pp. 3415-3422 ◽  
Author(s):  
Zaidao Li ◽  
Nathalie Limodin ◽  
Amina Tandjaoui ◽  
Philippe Quaegebeur ◽  
Jean-François Witz ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Tensile Tests ◽  
Image Correlation ◽  
Damage Investigation

scholarly journals Characterisation of weld heterogeneity through hardness mapping and miniature tensile testing

2015 ◽  
Vol 6 (3) ◽  
pp. 8 ◽  
Author(s):  
Jonas Bally ◽  
Wim De Waele ◽  
Patricia Verleysen ◽  
Nenad Gubeljak ◽  
Stijn Hertelé
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Tensile Testing ◽  
Industrial Process ◽  
Tensile Tests ◽  
Image Correlation ◽  
Heterogeneous Microstructure ◽  
Fusion Weld

Welding is a widely adopted industrial process used for joining components. A fusion weld has a highly heterogeneous microstructure and characterisation of strength heterogeneity is difficult because of the potentially large variations over a limited distance. Hardness mapping and miniature tensile tests are two distinct approaches to this problem. This paper reports on the possibilities and limitations of both techniques. Hardness mapping is a well-documented procedure as opposed to miniature tensile testing, where the dimensions of the dogbone shaped specimens are smaller than what standards prescribe. A particular challenge is the measurement of strains in such small specimens. The authors have achieved this measurement by means of Digital Image Correlation (DIC). To that end, a sufficiently fine speckling method has been developed.

scholarly journals Локализация деформации при диаметральном сжатии керамики ZrO-=SUB=-2-=/SUB=- (Y-=SUB=-2-=/SUB=-O-=SUB=-3-=/SUB=-)

2019 ◽  
Vol 45 (18) ◽  
pp. 40
Author(s):  
И.Н. Севостьянова ◽  
Т.Ю. Саблина ◽  
В.В. Горбатенко ◽  
С.Н. Кульков
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Strain Localization ◽  
Tetragonal Phase ◽  
Deformation Behavior ◽  
Temporal Patterns ◽  
Image Correlation ◽  
Diametral Compression ◽  
Microstructural Parameters ◽  
Material Volume

The deformation behavior of ZrO2-Y2O3 ceramics under diametral compression was studied using the digital image correlation. Spatial-temporal patterns of strain localization along the axis of the deformable specimen εxx (x) and across the axis of the deformable specimen εyy (y) were obtained. It has been established that the accumulation of εxx and εyy deformations when testing ceramic ZrO2 (Y2O3) samples for diametral compression is non-uniform over the sample. In this case, the microstructural parameters change, such as the size of the coherently diffracting domains (CDDs) of the tetragonal phase and microstresses, the tetragonally monoclinic transformation is realized, and this localization correlates with the fixed non-uniform of the microstresses in the material volume.

scholarly journals Локализация деформации в решетчатых структурах 3D-печатных образцов стали 03Х17Н14М2

2020 ◽  
Vol 46 (14) ◽  
pp. 9
Author(s):  
Д.Г. Фирсов ◽  
С.Д. Конев ◽  
О.Н. Дубинин ◽  
С.А. Евлашин ◽  
И.В. Шишковский
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Strain Localization ◽  
Deformation Behavior ◽  
Image Correlation ◽  
Lattice Structures ◽  
Laser Melting ◽  
Melting Method ◽  
Order Of Magnitude ◽  
3D Printed

The digital image correlation approach was used to study the deformation behavior of 3D samples under compression conditions, created by the selective laser melting method with lattice structures made of 03X17H14M2 steel. The space-temporal patterns of strain localization of transverse - εxx and longitudinal - εyy deformations of actual types of topological structures have been studied. It was shown that it is possible to reduce the relative density by 20% for 3D printed samples with lattice G-structure and cell sizes of 1.5 and 3 mm. However, plasticity disappears, the Young's modulus decreases by an order of magnitude, and the Poisson's ratio doubles in comparison with solid 3D parts.

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