Strain-based damage assessment for accurate residual strength prediction of impacted composite laminates

Christian, W; DiazDelaO, F.A.; Patterson, E. A.

doi:10.1016/j.compstruct.2017.10.022

Cited by 17 publications

(18 citation statements)

References 23 publications

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“…Given the variation in strength and stiffness as distance from the impact point increases (damage residual gradient), an empirical mathematical model was developed. To that end, analysis was conducted using a distance d in relation to the edge of the impactor (Figure 13) and constants a and b, which are related to the type of material, as demonstrated in equation (4). In this equation, s Rf is the residual bending strength of the material and s of is the ultimate bending strength with no impact…”

Section: Compression Testsmentioning

confidence: 99%

“…Impact damage often decreases material strength and stiffness, and the compression after impact (CAI) test is one of the most widely used for residual strength analysis. [4][5][6][7][8] Others described in the literature are the flexure after impact (FAI) and tensile after impact (TAI) tests. 9,10 A number of studies have tried to model behaviors with a variation in impact energy.…”

Section: Introductionmentioning

confidence: 99%

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Development of a mathematical model to analyze residual strength of composites after low-velocity impact

Azevedo

Cunha

Freire

et al. 2018

The Journal of Strain Analysis for Engineering Design

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This study aimed to develop a model to analyze the residual strength of composites after low-velocity impact, using three-point bending and compression after impact tests. Two types of composite laminates with an orthophthalic polymer matrix were used: one reinforced with bidirectional E-glass fabric and the other reinforced with bidirectional Kevlar-49 fabric. To that end, an equation was developed to assess loss of strength and stiffness after impact at different distances from the impact point, and this equation was not found in any previously searched article. The results demonstrate that the laminate based in glass fiber is more appropriate for the repair process.

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Section: Compression Testsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a mathematical model to analyze residual strength of composites after low-velocity impact

Azevedo

Cunha

Freire

et al. 2018

The Journal of Strain Analysis for Engineering Design

View full text Add to dashboard Cite

show abstract

“…Orthogonal decomposition is a technique that has been used to reduce full-field data down to a small number of coefficients that succinctly describe surface deformation [15]. This has been used to compare measurements from dynamic experiments with predictions from finite-element models such that the differences between the two datasets can be displayed as line traces [16]; and recently, has been used to compare damaged specimens with virgin specimens for quantitative damage assessments [17]. The decomposition-based damage assessment compared the strain field on the surface of a damaged specimen with the strain field of an undamaged specimen, resulting in a defect severity metric that was found to correlate with the residual strength of the damaged specimen.…”

Section: Introductionmentioning

confidence: 99%

Real-time quantification of damage in structural materials during mechanical testing

et al. 2020

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A novel methodology is introduced for quantifying the severity of damage created during testing in composite components. The method uses digital image correlation combined with image processing techniques to monitor the rate at which the strain field changes during mechanical tests. The methodology is demonstrated using two distinct experimental datasets, a ceramic matrix composite specimen loaded in tension at high temperature and nine polymer matrix composite specimens containing fibre-waviness defects loaded in bending. The changes in the strain field owing to damage creation are shown to be a more effective indicator that the specimen has reached its proportional limit than using load-extension diagrams. The technique also introduces a new approach to using experimental data for creating maps indicating the spatio-temporal distribution of damage in a component. These maps indicate where damage occurs in a component, and provide information about its morphology and its time of occurrence. This presentation format is both easier and faster to interpret than the raw data which, for some tests, can consist of tens of thousands of images. This methodology has the potential to reduce the time taken to interpret large material test datasets while increasing the amount of knowledge that can be extracted from each test.

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“…Since the functions of the heart are closely related to its deformation and movements (Smiseth et al 2016), various echocardiography methods have been developed to measure and analyse the movements, deformation, strain, and strain rate of the heart (Dandel et al 2009). These methods include Tissue Doppler Imaging (TDI) (Sutherland et al 1999;Krishna and Thomas 2015) and Speckle Tracking Echocardiography (STE) (Blessberger and Binder 2010;Bansal and Kasliwal 2013). While these methods have their own set of advances and shortcomings (Teske et al 2009), what they have in common is that they can only take into account the deformation on a planar area (2D deformation).…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of full field deformation of right ventricle during open heart surgery

Soltani

Lahti

Järvelä

et al. 2020

Computer Methods in Biomechanics and Biomedical Engineering: Im

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A mathematical method is introduced for quantifying full field deformation images of right ventricle (RV) of the heart. These images are acquired from the RV of the heart during open-heart surgery and analysed using digital image correlation (DIC). The high degree of complexity of the deformation of the heart, especially for the patients who require heart surgery emphasises the importance of a method to analyse the visible section of the surface of the RV. This is difficult with conventional heart-monitoring methods, which rely on describing the overall deformation of the area of interest by measuring the deformation between two points only and discarding all other relevant information contained in the area of interest. In this work, we decomposed the full field deformation images of the visible section of RV into shape descriptor vectors and used the Euclidian distance between two shape descriptor vectors obtained from the reference image and the analysed image to quantify the full field deformation by a single number. The Euclidian distance was used to compare the motion and deformation state of the heart at various stages during the operation. We demonstrate that the Euclidian distance is a more robust indicator describing the overall function of the heart than an individual strain value, especially in case of poorquality images from which the strain is derived.

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Strain-based damage assessment for accurate residual strength prediction of impacted composite laminates

Cited by 17 publications

References 23 publications

Development of a mathematical model to analyze residual strength of composites after low-velocity impact

Development of a mathematical model to analyze residual strength of composites after low-velocity impact

Real-time quantification of damage in structural materials during mechanical testing

Quantitative assessment of full field deformation of right ventricle during open heart surgery

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