Dual magnification digital image correlation based strain measurement in CFRP Laminates with open hole☆

Wang, Z.Y.; Li, H.Q.; Tong, Jingwei; Shen, Min; Aymerich, Francesco

doi:10.1016/j.compscitech.2007.04.026

Cited by 19 publications

(4 citation statements)

References 12 publications

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“…To obtain full-field strain measurements, the use of a specific technique is necessary. The efficiency of the digital image correlation (DIC) method to characterize the mechanical behaviour of composites has been demonstrated in a few recent investigations (Lagattu et al, 2005;Wang et al, 2008). This optical full-field technique is very attractive because of its accuracy and spatial resolution performances for strain gradient measurement.…”

Section: Experimental Model Validationmentioning

confidence: 98%

Micromechanical modelling and simulation of chopped random fiber reinforced polymer composites with progressive debonding damage

Zaïri

Naït-Abdelaziz

Gloaguen

et al. 2008

International Journal of Solids and Structures

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a b s t r a c tThe aim of the present paper is to provide a quantitative prediction of the elastic-damage behaviour of randomly oriented fiber polymer composites. A constitutive model based on micromechanical considerations is presented. The nucleation and growth of voids induced by progressive fiber debonding is combined with the constitutive relationship. Failure resulting of excessive damage accumulation is captured by a critical void volume criterion and a vanishing element technique. Experimentally, damage accumulation in random glass fiber-polyester composites was monitored by a videoextensometry technique able to control the local strain rate. Good agreement of model predictions with experimental data is pointed out. The model was implemented into a finite element program and numerical applications on composite structures (a tensile specimen and a plate containing a central hole) are presented to illustrate the capability of the approach. Digital image correlation method was also used to measure the full-field strain in a notched specimen under tensile loading. The simulated results compared favourably with those obtained from experiments.

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Section: Experimental Model Validationmentioning

confidence: 98%

Micromechanical modelling and simulation of chopped random fiber reinforced polymer composites with progressive debonding damage

Zaïri

Naït-Abdelaziz

Gloaguen

et al. 2008

International Journal of Solids and Structures

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“…In comparison with other experimental techniques such as Moiré interferometry and electric speckle interferometry, DIC is simple and robust because complicated surface treatment is not needed and its requirement for testing environment is low [4], [22].…”

Section: On-line Damage Monitoring Using Digital Image Correlation (Dic)mentioning

confidence: 99%

Using Digital Image Correlation Techniques for Damage Detection on Adhesively Bonded Composite Repairs

Caminero

Pavlopoulou

Lopez‐Pedrosa

et al. 2012

Advanced Composites Letters

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The use of composite materials in aircraft industry has risen significantly in recent years. Bonded patch repair technologies provide an alternative to mechanically fastened repairs with significantly higher performance. In this work, the behaviour of scarf-type bonded patches in laminated composites are monitored using full-field measurement methods based on Digital Image Correlation (DIC) techniques which are validated against Lamb wave propagation analysis. The current work focuses on the performance and the on-line monitoring of the adhesively bonded patches in composite plates subjected to tensile loading

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“…Increasing interest is concomitantly being shown in fullfield measurement techniques that are able to operate at various scales [4,24,32,43,48,56]. These techniques dramatically reduce both computational time and hardware requirements.…”

Section: Introductionmentioning

confidence: 99%

Fractal Pattern for Multiscale Digital Image Correlation

et al. 2020

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Background: Digital Image Correlation (DIC) is based on the matching, between reference and deformed state images, of features contained in patterns that are deposited on test sample surfaces. These features are often suitable for a single scale, and there is a current lack of multiscale patterns capable of providing reliable displacement measurements over a wide range of scales. Objective: Here, we aim to demonstrate that a pattern based on a fractal (self-affine) surface would make a suitable pattern for multiscale DIC. Methods: A method to numerically generate patterns directly from a desired auto-correlation function is introduced. It is then enhanced by a Mean Intensity Gradient (MIG) improvement process based on grey level redistribution. Numerical experiments at multiple scales are performed for two different imposed displacement fields and results for one of the patterns generated are compared with those obtained for a random pattern and a Perlin noise one. Results: The proposed pattern is shown to lead to DIC errors comparable to those found with the two others for the first scales, but has much greater robustness. More importantly, the pattern gen-

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Dual magnification digital image correlation based strain measurement in CFRP Laminates with open hole☆

Cited by 19 publications

References 12 publications

Micromechanical modelling and simulation of chopped random fiber reinforced polymer composites with progressive debonding damage

Micromechanical modelling and simulation of chopped random fiber reinforced polymer composites with progressive debonding damage

Using Digital Image Correlation Techniques for Damage Detection on Adhesively Bonded Composite Repairs

Fractal Pattern for Multiscale Digital Image Correlation

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