scholarly journals Application of digital image correlation for estimation of fatigue crack closure level

2016 ◽  
Author(s):  
A. Eremin ◽  
R. Sunder ◽  
S. Panin
Keyword(s):  
Fatigue Crack ◽  
Digital Image Correlation ◽  
Crack Closure ◽  
Digital Image ◽  
Image Correlation ◽  
Fatigue Crack Closure ◽  
Closure Level

Investigation of thermal effects on fatigue crack closure using multiscale digital image correlation experiments

2014 ◽  
Vol 61 ◽  
pp. 10-20 ◽  
Author(s):  
Mallory C. Casperson ◽  
Jay D. Carroll ◽  
John Lambros ◽  
Huseyin Sehitoglu ◽  
Robert H. Dodds
Keyword(s):  
Fatigue Crack ◽  
Digital Image Correlation ◽  
Crack Closure ◽  
Digital Image ◽  
Thermal Effects ◽  
Image Correlation ◽  
Fatigue Crack Closure

Experimental Study of Fatigue Crack Initiation and Strain Evolution around a Micro-Void by In Situ SEM and Digital Image Correlation

2017 ◽  
Vol 754 ◽  
pp. 75-78 ◽  
Author(s):  
De Qiang Wang ◽  
Ming Liang Zhu ◽  
Fu Zhen Xuan
Keyword(s):  
Fatigue Crack ◽  
Digital Image Correlation ◽  
Crack Initiation ◽  
Digital Image ◽  
Early Stage ◽  
Fatigue Crack Initiation ◽  
Image Correlation ◽  
Dominant Factor ◽  
Strain Evolution

Fatigue crack initiation stage occupies a large proportion of total fatigue life in modern engineering materials and structures which are often designed under lower service loading conditions. In this paper, the fatigue crack initiation behavior from a micro-void in a small-scale specimen was studied in-situ in SEM. Surface morphologies were monitored in-situ and images were taken during interrupted tests at selected number of cycles, and displacement and strain map around the void was calculated based on digital image correlation (DIC) technique. The results indicated that the strain evolution near the micro-void could be divided into stages, before crack initiation. The strain increasing rate was fast in the early stage and slower in the second stage. A critical cyclic strain value for fatigue crack initiation from the micro-void was obtained around 9%, and was believed to be the dominant factor for early stage of fatigue damage.

scholarly journals Identification and Prediction of Mixed-Mode Fatigue Crack Path in High Strength Low Alloy Steel

Proceedings ◽  
2018 ◽  
Vol 2 (8) ◽  
pp. 504
Author(s):  
Jie Zhang ◽  
Cedric Kiekens ◽  
Stijn Hertelé ◽  
Wim De Waele
Keyword(s):  
Fatigue Crack ◽  
Digital Image Correlation ◽  
Crack Propagation ◽  
Digital Image ◽  
Mixed Mode ◽  
Standardized Test ◽  
Crack Tip ◽  
Shear Loading ◽  
Image Correlation ◽  
Crack Trajectory

The trajectory of fatigue crack growth is influenced by many parameters and can be irregular due to changes in stress distribution or in material properties as the crack progresses. Images of the surface of a standardized test specimen can be used to visualize the crack trajectory in a non-destructive way. Accurately identifying the location of the crack tip, however, is challenging and requires devoted image postprocessing. In this respect, digital image correlation allows to obtain full field displacement and strain fields by analysing changes of digital images of the same sample at different stages of loading. This information can be used for the purpose of crack tip tracking. This paper presents a combined experimental-numerical study of detection and prediction of fatigue crack propagation path by means of digital image correlation (DIC) and the extended finite element method (X-FEM). Experimental validation and analyses are carried out on a modified C(T) specimen in which a curved crack trajectory is triggered by introducing mixed-mode (tension + shear) loading. The developed tools are used for validating an automated framework for crack propagation prediction.

Sign in / Sign up

Export Citation Format

Share Document