Investigating the fatigue behaviour of quasi-isotropic pseudo-ductile thin-ply carbon/glass epoxy hybrid composites

Fotouhi, Mohammad; Suwarta, Putu; Tabatabaeian, Ali; Fotouhi, Sakineh; Jenkin, Ross; Jalalvand, Meisam; Wisnom, Michael R

doi:10.1016/j.compositesa.2022.107206

Cited by 9 publications

(4 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A summary of these studies based on the aims of the present study, focusing on the identification method, types of cracks, etc. [1][2][3][4][5][6][7][8][9][10][11][12][13][14], is presented in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

Khayat,

Amoushahi

2024

Preprint

View full text Add to dashboard Cite

Composite materials have a high level of uncertainty (intrinsic and non-intrinsic) due to the manufacturing process as well as the placement of different phases of their constituent materials. These uncertainties can be identified in both macro and micro scales. Identifying the behavior of structures made of composite materials without taking into account the uncertainties, whether due to identification or modeling, can lead to unrealistic results, especially in the dynamic behavior of structures. One of these cases is the identification of damage types in composite structures which is usually done by using dynamic responses. Damages in composite materials or structures usually occur during construction or operation. The correct modeling of uncertainty sources is one of the most important factors in identifying the geometry, location, and severity of damages accurately. The uncertainties related to the position and placement of carbon nanotubes (CNTs) can cause noticeable changes in the characteristics of composite materials reinforced with CNTs. For this reason, in the present study, we identified damages in CNT panels by considering all possible sources of uncertainty. A probabilistic multi-stage reliability-based method was proposed in this study to detect damage in these structures. In order to model the intrinsic and non-intrinsic sources of uncertainty, a modified point estimation method (MPEM) was used. In addition, an enhanced differential quadrature (DQ) method was used to model the CNT panels. In each step of the proposed algorithm, the probability of damage in each element of the panels was calculated by analyzing the possible damages. According to the results of the previous step, the elements with a low failure probability were gradually sifted in the next steps. The sieved elements in each step were considered as intact elements in the next step. This systematic filtering of design variables can simultaneously reduce the dimensions and speed up the optimization problem. Finally, the probability of damage was calculated based on the probability density function of various damage severities and positions. The developed approach was applied for damage detection on a laboratory-tested plate to illustrate the efficiency of the proposed method. The effects of using different damage positions and severity levels on the diagnosis results were discussed. The results demonstrated that the number of frequencies and modes of vibration required to identify the position and severity of damages accurately is different according to the damage scenarios and the percentage of uncertainty.

show abstract

Section: Introductionmentioning

confidence: 99%

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

Khayat,

Amoushahi

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…4 Numerous approaches have been employed to impart ductility in high-performance composites, enabling a gradual failure mode while maintaining high strength and specific stiffness. [5][6][7][8] Introduction of ductile fibers, such as stainless steel, has shown to improve the failure strain of composites. 9, 10 However, the higher density of steel fibers can limit their application in weight-critical contexts by reducing the specific strength.…”

Section: Introductionmentioning

confidence: 99%

High performance graphene-based pseudo-ductile composites

Islam

Afroj

Karim

2023

Preprint

View full text Add to dashboard Cite

High-performance fibre reinforced polymer (FRP) composites offer excellent specific strength and stiffness when compared to high-density metallic materials. However, their inherent brittleness leads to sudden and catastrophic failure without sufficient pre-warning, rendering them unsuitable for many applications. To address this limitation, we present a novel approach using graphene-based glass-carbon FRP hybrid composites that exhibit excellent pseudo-ductile properties. Our technique involves coating glass and carbon fibre balanced plain woven fabrics with graphene-based materials using a facile and scalable pad-dry-cure coating technique, followed by reinforcement with an epoxy matrix via vacuum-assisted resin infusion (VARI). Our tensile and flexural tests demonstrate the exceptional pseudo-ductile behaviour of these hybrid composites, with no visible changes in damage initiation after the initial failure of carbon fibre. By enabling the manufacture of high-performance pseudo-ductile composites at scale using a low-cost manufacturing method, our graphene-based glass-carbon hybrid FRP composites have significant potential for next-generation applications.

show abstract

“…The effect of the inter-layer hybrid has been extensively studied because of its low cost and simple preparation. [21][22][23] Xiang et al 24 constructed hybrid woven composites with carbon fabric layers and UHMWPE fabric layers, and examined the delamination damage after high-velocity impact experiments via computed tomography. The ballistic impact experiments of Ke R dzierski et al 25 demonstrated that the inter-layer hybrid could reduce backface signature (BFS) by about 10%.…”

mentioning

confidence: 99%

“…The effect of the inter-layer hybrid has been extensively studied because of its low cost and simple preparation. 21 –23 Xiang et al. 24 constructed hybrid woven composites with carbon fabric layers and UHMWPE fabric layers, and examined the delamination damage after high-velocity impact experiments via computed tomography.…”

mentioning

confidence: 99%

Effect of hybrid strategies on the ballistic response of aramid/ultra-high molecular weight polyethylene woven fabrics

Zhang,

Song,

Zheng

et al. 2024

Textile Research Journal

View full text Add to dashboard Cite

The increasing demand for advanced personal protection systems has motivated a considerable interest in hybrid woven fabrics and textile composites. However, the effectiveness of the combination method of fibers on ballistic performance remains uncertain, leaving the selection of an appropriate hybridization strategy unresolved. This study conducted a thorough comparison of the ballistic responses of hybrid aramid/ultra-high molecular weight polyethylene (UHMWPE) woven fabrics, aiming to provide a comprehensive understanding of the hybridization effects. Specimens with inter-layer, intra-layer, and intra-yarn hybrid configurations were manufactured, and ballistic impact tests were performed via a light-gas gun. The residual velocity, energy absorption, dynamic penetration process, and perforation modes of the hybrid specimens were recorded at two selected impact velocities and then compared with those of non-hybrid specimens. The results demonstrated that the enhancement effect of hybridization varied with hybrid configuration and impact velocity. The interlacing of aramid yarns and UHMWPE yarns in intra-layer hybrid specimens did not promote the breakage of UHMWPE fibers, which was responsible for the inferior ballistic performance. In contrast, inter-layer hybridization and intra-yarn hybridization could overcome the insufficient friction of UHMWPE and the low mechanical properties of aramid, resulting in superior ballistic performance.

show abstract

Investigating the fatigue behaviour of quasi-isotropic pseudo-ductile thin-ply carbon/glass epoxy hybrid composites

Cited by 9 publications

References 46 publications

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

High performance graphene-based pseudo-ductile composites

Effect of hybrid strategies on the ballistic response of aramid/ultra-high molecular weight polyethylene woven fabrics

Contact Info

Product

Resources

About