Failure Analysis of CFRP Multidirectional Laminates Using the Probabilistic Weibull Distribution Model under Static Loading

Behera, Alok; Thawre, Manjusha M.; Ballal, Atul

doi:10.1007/s12221-019-1194-9

Cited by 18 publications

(11 citation statements)

References 37 publications

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“…[37][38][39][40] Both of these methods have been utilized to model and predict the tensile modulus of composites that acceptable results have been achieved. [33,41] Also, the Weibull statistics are widely utilized to predict and model the mechanical behavior of materials such as fibers, [42][43][44] fiber-reinforced composites, [45][46][47][48] aluminum matrix composite, [49] and nanocomposites. [50,51] Despite the remarkable studies of hybrid nanocomposites, the synergetic effects of nano reinforcements on their dispersion quality as well as the mechanical properties of nanocomposites are still challengeable and need more discussion.…”

Section: Electrical Propertiesmentioning

confidence: 99%

Synergetic effects of graphene nanoplatelets/montmorillonite on their dispersion and mechanical properties of the epoxy‐based nanocomposite: Modeling and experiments

et al. 2022

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The mechanical properties of nanocomposites are significantly affected by the dispersion of nanofillers. In this study, the synergetic effect of hybrid fillers, including surfacemodified montmorillonite (MMT) nanoclay and graphene nanoplatelets (GNPs) on the dispersion quality and mechanical characteristics of epoxy‐based nanocomposites was investigated. It was manifested that the incorporation of GNPs‐MMT hybrid into pure epoxy improves the dispersion of nanoplatelets and consequently, the tensile and flexural properties. The maximum tensile and flexural strength was obtained for the sample containing 0.15 wt% GNPs and 1 wt% MMT that was 19% and 17.4% higher than the neat epoxy, respectively. The experimental analyses were followed by Mori–Tanaka, Halpin–Tsai, and two‐parameter Weibull distribution methods to model the mechanical behavior of nanocomposites. The modeling and experimental results as well as the microscopic analysis revealed the variation of toughening mechanisms from micro to nano scale.

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Section: Electrical Propertiesmentioning

confidence: 99%

Synergetic effects of graphene nanoplatelets/montmorillonite on their dispersion and mechanical properties of the epoxy‐based nanocomposite: Modeling and experiments

et al. 2022

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“…The authors' previous articles can be referred to for more details on laminate fabrication. [22][23][24] The void content in these three laminates was calculated by comparing the experimental/ actual density to the theoretical density, as per ASTM standard D2734. The actual density was calculated per ASTM D792 standard, with 10 mm Â 10 mm square samples from each laminate.…”

Section: Laminate Fabrication and Mechanical Testing Detailsmentioning

confidence: 99%

“…Further details on static strength and the associated failure mechanism are reported in. [22][23][24] A minimum of 10 reproduces tests were performed at a constant crosshead speed of 1 mm/min to ensure repeatability. The repeatability is crucial for the current study, as all the stress level calculations and stress ratio calculations are based on average UTS and UCS values.…”

Section: Laminate Fabrication and Mechanical Testing Detailsmentioning

confidence: 99%

“…This data is required for formulating constant life In-plane shear modulus 5.2 GPa F I G U R E 5 (A) Two-segment and (B) three-segment anisomorphic constant life diagrams for glass fiber reinforced polymer UD laminate [15,22] diagrams. Further details on fatigue failure or S-N curve formulation can be found in References [22][23][24].…”

Section: Static and Fatigue Strengthmentioning

confidence: 99%

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A modified piecewise linear constant life diagram for fatigue life prediction of carbon fiber/polymer multidirectional laminates

et al. 2022

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Prediction accuracy of constant life diagrams (CLDs) for fiber-reinforced plastics varies with the stacking, tensile/compression dominated failure, input S-N curves, the complexity of the plot, and so forth. The article's authors propose a modified piecewise linear CLD and compare its prediction accuracy with traditional piecewise and 2-segment anisomorphic CLD. The constant amplitude fatigue life data for three different carbon fiber reinforced polymer composites multidirectional laminates that is (+45, À45, +45, and À45) 2S , (+45, À45, 0, and 90) 2S , and (0, 90, 0, and 90) 2S were generated at five different stress ratios (R = σ min /σ max ) that is, R = 0.1 and 0.5 (T-T), À1 and critical stress ratio (T-C), and 5 (C-C). The proposed modified Piecewise linear CLD considers the critical stress ratio (UCS/UTS) as a definite input node. The prediction accuracy of the proposed CLD and others was evaluated using additional fatigue testing at random stress ratios and stress levels. The proposed CLD showed the highest prediction accuracy compared to Piecewise or Anisomorphic CLD. The non-linear CLD plotted using single S-N curve data may save time and effort but achieving absolute accuracy will ultimately depend on the stacking sequence.

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“…They obtained good agreement between the experimental results and model predictions. The Weibull statistics are widely used to model and predict the mechanical behavior of materials such as fibers (-Al-Mobarak et al, 2020;Guo et al, 2014;Roy et al, 2012), fiber-reinforced composites (Behera et al, 2019;Sakin and Ay, 2008;Swolfs et al, 2015), aluminum matrix composite (Babu and Jayabalan, 2009), and nanocomposites (Pervin et al, 2005;Zainuddin et al, 2010). The researches on bending properties of epoxy-based nanocomposites (Zainuddin et al, 2010) and tensile strength of fiber-reinforced composites (Naresh et al, 2018) employing two-parameter Weibull distribution have shown a good agreement between experimental and modeling results.…”

Section: Introductionmentioning

confidence: 96%

Modeling and experimental study on the mechanical behavior of glass/basalt fiber metal laminates after thermal cycling

Azghan

Bahari-Sambran

Eslami‐Farsani

2021

International Journal of Damage Mechanics

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In the present study, the effect of thermal cycling and stacking sequence on the tensile behavior of fiber metal laminate (FML) composites containing glass and basalt fibers was investigated. To fabricate the FML samples, fibers reinforced epoxy composite were sandwiched between two layers of 2024-T3 aluminum alloy sheet. 55 thermal cycles were implemented at a temperature range of 25–115°C for 6 min. The tensile tests were carried out after the thermal cycling procedure, and the results were compared with non-thermal cycling specimens. Scanning electron microscopy (SEM) was employed for the characterization of the damage mechanisms. The FMLs containing four basalt fibers’ layers showed higher values of tensile strength, modulus, and energy absorption. On the other hand, the lowest strength and fracture energy were found in the asymmetrically stacked sample containing basalt and glass fibers, due to weak adhesion between composite components (basalt and glass fibers). The lowest tensile modulus was found in the sample containing glass fibers that was due to the low modulus of the glass fibers compared to basalt fibers. In the case of the samples exposed to thermal cycling, the highest and the lowest thermal stabilities were observed in basalt fibers samples and asymmetrically stacked samples, respectively. In accordance with the experimental results, a non-linear damage model using the Weibull function and tensile modulus was employed to predict the stress-strain relationship. The simulated strain–strain curves presented an appropriate agreement with the experimental results.

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Failure Analysis of CFRP Multidirectional Laminates Using the Probabilistic Weibull Distribution Model under Static Loading

Cited by 18 publications

References 37 publications

Synergetic effects of graphene nanoplatelets/montmorillonite on their dispersion and mechanical properties of the epoxy‐based nanocomposite: Modeling and experiments

Synergetic effects of graphene nanoplatelets/montmorillonite on their dispersion and mechanical properties of the epoxy‐based nanocomposite: Modeling and experiments

A modified piecewise linear constant life diagram for fatigue life prediction of carbon fiber/polymer multidirectional laminates

Modeling and experimental study on the mechanical behavior of glass/basalt fiber metal laminates after thermal cycling

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