Experimental fabrication and characterization of out-of-plane fiber waviness in continuous fiber-reinforced composites

Wang, J.; Potter, Kevin D; Hazra, K; Wisnom, Michael R

doi:10.1177/0021998311429877

Cited by 81 publications

(56 citation statements)

References 22 publications

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“…Many wind turbine blades are made using vacuum resin infusion. This manufacturing method makes IP waves more likely to occur (Wang, 2012).…”

Section: Common Blade Flaw Typesmentioning

confidence: 99%

Investigation of the Effect of In-Plane Fiber Waviness in Composite Materials through Multiple Scales of Testing and Finite Element Modeling

Lerman¹

2015

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“…Many wind turbine blades are made using vacuum resin infusion. This manufacturing method makes IP waves more likely to occur (Wang, 2012).…”

Section: Common Blade Flaw Typesmentioning

confidence: 99%

Investigation of the Effect of In-Plane Fiber Waviness in Composite Materials through Multiple Scales of Testing and Finite Element Modeling

Lerman¹

2015

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“…al. developed three methods of fabricating out-of-plane waviness which were used to quantify a wider class of wrinkles by introducing additional parameters [19]. However, those wrinkles are 2 also constructed from cosine functions fitted to empirical misalignment measurements.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian framework for assessing the strength distribution of composite structures with random defects

Sandhu

Reinarz

Dodwell

2018

Composite Structures

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This paper presents a novel stochastic framework to quantify the knock down in strength from out-of-plane wrinkles at the coupon level. The key innovation is a Markov Chain Monte Carlo algorithm which rigorously derives the stochastic distribution of wrinkle defects directly informed from image data of defects. The approach significantly reduces uncertainty in the parameterization of stochastic numerical studies on the effects of defects. To demonstrate our methodology, we present an original stochastic study to determine the distribution of strength of corner bend samples with random out-plane wrinkle defects. The defects are parameterized by stochastic random fields defined using Karhunen-Loéve (KL) modes. The distribution of KL coefficients are inferred from misalignment data extracted from B-Scan data using a modified version of Multiple Field Image Analysis. The strength distribution is estimated, by embedding wrinkles into high fidelity FE simulations using the high performance toolbox dune-composites from which we observe severe knockdowns of 74% with a probability of 1/200. Supported by the literature our results highlight the strong correlation between maximum misalignment and knockdown in coupon strength. This observations allows us to define a surrogate model providing fast assessment of predicted strength informed from stochastic simulations utilizing both observed wrinkle data and high fidelity finite element models.

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“…Indeed, except for some work on the phenomena involved during the appearance of defects like "yarn waviness", "buckles" and "weave pattern heterogeneity", there are few studies treating of the mesoscopic defects [10,[14][15][16]. Concerning the effect of the mesoscopic defects, except some studies on the effect of the fibre waviness on the UD composite [17][18][19], there are few studies to our knowledge on this aspect [21]. However, it has been shown that they are more recurring during complex preforms shaping [6,10].…”

Section: Introductionmentioning

confidence: 99%

Effect of mesoscopic out-of-plane defect on the fatigue behavior of a GFRP

Cruanes

Shanwan

Méo

et al. 2018

Mechanics of Materials

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This paper deals with the influence of buckles that are a mesoscopic out of plane defects on the fatigue behavior of a GFRP. Three cases were investigated: Healthy samples with no defect and specimens with buckles defects that are first generated in the longitudinal direction and then on the transverse direction.. First, static tests were used to measure the differences of the mechanical properties of both defect orientations and, thanks to digital image correlation, to see where were localized the areas of maximal local strain on the samples. Secondly, fatigue tests were performed in the three configurations. The results revealed that both defect orientations have a significant effect on the fatigue life and on the strain field. The configuration with defects in the transverse direction is the most crippling condition as expected from the static tests but the longitudinal direction configuration was also very affected by the presence of the mesoscopic defects. Those observations lead to conclude that this mesoscopic out of plane defect has a major negative influence on the fatigue life of such a composite.

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Experimental fabrication and characterization of out-of-plane fiber waviness in continuous fiber-reinforced composites

Cited by 81 publications

References 22 publications

Investigation of the Effect of In-Plane Fiber Waviness in Composite Materials through Multiple Scales of Testing and Finite Element Modeling

Investigation of the Effect of In-Plane Fiber Waviness in Composite Materials through Multiple Scales of Testing and Finite Element Modeling

A Bayesian framework for assessing the strength distribution of composite structures with random defects

Effect of mesoscopic out-of-plane defect on the fatigue behavior of a GFRP

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