Performances of different subset shapes and control points in subset-based digital image correlation and their applications in boundary deformation measurement

2015 ◽  
Vol 54 (6) ◽  
pp. 1290 ◽  
Author(s):  
Ronghua Zhu ◽  
Huimin Xie ◽  
Zhenxing Hu ◽  
Lebin Jiang ◽  
Baoqiao Guo ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Deformation Measurement ◽  
Image Correlation ◽  
Control Points ◽  
Boundary Deformation ◽  
And Control

scholarly journals Boundary Deformation Measurement by Mesh-Based Digital Image Correlation Method

2020 ◽  
Vol 11 (1) ◽  
pp. 53
Author(s):  
Lu Wang ◽  
Guangyan Liu ◽  
Tongzhen Xing ◽  
Haibin Zhu ◽  
Shaopeng Ma
Keyword(s):  
Stress Concentration ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Correlation Method ◽  
Deformation Measurement ◽  
Image Correlation ◽  
Uniform Deformation ◽  
Quadrilateral Elements ◽  
Displacement Vectors ◽  
Boundary Deformation

Digital image correlation (DIC) is a popular photomechanics method for deformation measurement. The conventional subset-based DIC method obtains the displacement vectors at the subset centers, but cannot calculate the deformation on the specimen edges, which may contain very useful information because specimens usually have greater deformation on edges, especially on curved edges due to stress concentration. In this study, the capability of a mesh-based DIC method using 8-node quadrilateral elements (Q8-mesh-DIC) in boundary deformation measurement was investigated and highlighted for specimens with non-uniform deformation. The results were compared with those obtained by some conventional subset-based DIC methods, and the accuracy of the boundary deformation measurement was verified through simulated and real experiments. The Q8-mesh-DIC appears to be more suitable for the boundary deformation measurement of non-uniform deformation fields.

Micro- and Nanoscale Deformation Measurement of Surface and Internal Planes via Digital Image Correlation

2007 ◽  
Vol 47 (1) ◽  
pp. 51-62 ◽  
Author(s):  
T. A. Berfield ◽  
J. K. Patel ◽  
R. G. Shimmin ◽  
P. V. Braun ◽  
J. Lambros ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Deformation Measurement ◽  
Image Correlation

Optical Strain Monitoring Techniques

2012 ◽  
Author(s):  
Aditya Narayanan ◽  
Andy Morris ◽  
Catrin M. Davies ◽  
John P. Dear
Keyword(s):  
Digital Image Correlation ◽  
Creep Strain ◽  
Digital Image ◽  
Power Plants ◽  
Image Correlation ◽  
Camera System ◽  
Optical Strain ◽  
Point To Point ◽  
The Uk ◽  
And Control

The Auto-Reference Creep Management and Control (ARCMAC) system is being developed as a technique to evaluate the remaining life of power plant components. The system consists of a pair of Inconel plates with a configuration of silicon nitride (SiN) spheres on them, and a camera system used to take images of the gauge during the component’s deformation. The purpose of the system is to measure the creep strain accumulated by a component at regular intervals, tracking the relative motion of the spheres in order to measure a point-to-point value of strain. The system is currently used to capture images of gauges already installed on power plants in the UK as part of scheduled maintenance during plant outages. It is also possible to use the ARCMAC system to capture speckle paint pattern data used in digital image correlation (DIC) in order to visualise the strain field across the heat affected zones (HAZ) in welds and around other strain concentration features. A newer version of the system: the Digital Single Lens Reflex (DSLR) ARCMAC is being developed specifically to capture this kind of data in order to complement the point-to-point strain measurements obtained. This article presents results of experiments performed at room temperature with the purpose of establishing the basic accuracy of the conventional ARCMAC and the DSLR ARCMAC in order to compare their performance. It also intends to evaluate the performance of the latter when used for digital image correlation. The results showcase the accuracy of the technique at high strains using the DSLR camera, showing its usefulness as a tool to measure creep strain.

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