scholarly journals Determination of the mode I crack tip opening rate and the rate dependent cohesive properties for structural adhesive joints using digital image correlation

2021 ◽  
Vol 217-218 ◽  
pp. 60-73
Author(s):  
Fengzhen Sun ◽  
Ruoyu Zhang ◽  
Bamber R.K. Blackman
Keyword(s):  
Digital Image Correlation ◽  
Adhesive Joints ◽  
Image Correlation ◽  
Mode I ◽  
Mode I Crack ◽  
Rate Dependent ◽  
Cohesive Properties ◽  
Structural Adhesive ◽  
Crack Tip Opening

scholarly journals Measurements of Mode I Interlaminar Properties of Carbon Fiber Reinforced Polymers Using Digital Image Correlation

2017 ◽  
Vol 742 ◽  
pp. 652-659
Author(s):  
Matthias Merzkirch ◽  
Louise Ahure Powell ◽  
Tim Foecke
Keyword(s):  
Carbon Fiber ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Measured Data ◽  
Image Correlation ◽  
Fiber Reinforced Polymers ◽  
Mode I ◽  
Carbon Fiber Reinforced Polymers ◽  
Reinforced Polymers

Numerical models based on cohesive zones are usually used to model and simulate the mechanical behavior of laminated carbon fiber reinforced polymers (CFRP) in automotive and aerospace applications and require different interlaminar properties. The current work focuses on determining the interlaminar fracture toughness (GIC) under Mode I loading of a double cantilever beam (DCB) specimen of unidirectional CFRP, serving as prototypical material. The novelty of this investigation is the improvement of the testing methodology by introducing digital image correlation (DIC) as an extensometer and this tool allows for crack growth measurement, phenomenological visualization and quantification of various material responses to Mode I loading. Multiple methodologies from different international standards and other common techniques are compared for the determination of the evolution of GIC as crack resistance curves (R-curves). The primarily metrological sources of uncertainty, in contrast to material specific related uncertainties, are discussed through a simple sensitivity analysis. Additionally, the current work offers a detailed insight into the constraints and assumptions to allow exploration of different methods for the determination of material properties using the DIC measured data. The main aim is an improvement of the measurement technique and an increase in the reliability of measured data during static testing, in advance of future rate dependent testing for crashworthiness simulations.

scholarly journals Determination of mode I dynamic fracture toughness of IM7-8552 composites by digital image correlation and machine learning

2019 ◽  
Vol 210 ◽  
pp. 707-714 ◽  
Author(s):  
Rafael A. Cidade ◽  
Daniel S.V. Castro ◽  
Enrique M. Castrodeza ◽  
Peter Kuhn ◽  
Giuseppe Catalanotti ◽  
...  
Keyword(s):  
Machine Learning ◽  
Fracture Toughness ◽  
Digital Image Correlation ◽  
Dynamic Fracture ◽  
Digital Image ◽  
Dynamic Fracture Toughness ◽  
Image Correlation ◽  
Mode I
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