Identification of the mechanical properties of the carbon fiber and the interphase region based on computational micromechanics and Kriging metamodel

Lu, Jiahai; Zhu, Ping; Ji, Qinghui; Feng, Qi; He, Jing

doi:10.1016/j.commatsci.2014.07.034

Cited by 28 publications

(14 citation statements)

References 32 publications

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“…Moreover, carbon fiber represents obvious tension and compression asymmetry in axial direction. The mechanical properties of carbon fiber are shown in Table 2, in which the transverse elastic parameters are adopted through a recognition method by Lu et al., 30 and the compressive strength is taken from Oya and Johnson. 31 It is assumed that fiber fracture does not occur under transverse loadings, while fiber mainly undertakes fracture failure under axial loadings, which often manifests as brittle fracture.…”

Section: Finite-element Modeling and Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Numerical investigation of fiber random distribution on the mechanical properties of yarn in-plain woven carbon fiber-reinforced composite based on a new perturbation algorithm

Zhu

Liu

et al. 2017

Journal of Composite Materials

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Interior fibers in yarns of plain woven carbon fiber-reinforced composite are distributed randomly, which further influences the mechanical properties of yarns. To explore the stochastic nature of fibers’ distribution in yarn and its effect on the properties of yarn, this study proposes a new perturbation algorithm named Sequential Random Perturbation algorithm to reconstruct the microstructure of randomly distributed fibers, based on which representative volume element micromechanical models consisting of three phases to accurately predict the mechanical properties of yarn are established. The algorithm is based on successive smart perturbations of fibers to gain microstructures of arbitrary volume fraction, and statistical study shows that the algorithm is in good agreement with experimental results. Finally, representative volume element models are simulated to predict the whole mechanical properties of composite yarns to reflect the failure mechanisms and microstructure–property relations. The randomness of fiber distribution has some degree of influence on mechanical properties of yarn, especially strength responses. The failures under axial tension and compression are dominated by fiber breakage, while under transverse and shear loading conditions, the failures are mostly decided by interface debonding and matrix damage.

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Section: Finite-element Modeling and Simulationmentioning

confidence: 99%

“…The properties of interface are shown in Table 3, of which elastic properties were acquired by parameter identification. 30 The parameters of B–K damage model were adopted as: Gn c = 25 J/m 2 , Gs c = 100 J/m 2 , η = 1.75. 33…”

Section: Finite-element Modeling and Simulationmentioning

confidence: 99%

Numerical investigation of fiber random distribution on the mechanical properties of yarn in-plain woven carbon fiber-reinforced composite based on a new perturbation algorithm

Zhu

Liu

et al. 2017

Journal of Composite Materials

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“…Therefore, the interphase was modeled as a separate zone with the same constitutive and damage models of matrix, which makes the model more complicated. The parameter identification of the interphase of the carbon fiber-reinforced composite was conducted by the inverse strategy based on the experimental data, microstructural modeling method, and Kriging metamodel, including the identification of thickness, normal stiffness, and tangent stiffness [33]. This set of parameters was applied to predict the elastic and strength properties of carbon FRP composite yarn, and good agreement was found with other regular simulation model [34].…”

Section: Introductionmentioning

confidence: 99%

Computational micromechanics-based prediction of the failure of unidirectional composite lamina subjected to transverse and in-plane shear stress states

Wan

Ismail²,

Zhu

et al. 2020

Journal of Composite Materials

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This paper presents a micromechanics-based 3D finite element model for predicting the damage initiation, propagation, and failure strength of TC33/Epoxy carbon fiber reinforced polymer (CFRP) unidirectional lamina under biaxial loadings. The finite element model is generated by introducing representative volume element (RVE) with a random distribution of fibers and a non-zero thickness, numerically identified interface phase via cohesive elements. In the finite element model, the carbon fibers are considered as elastic, while the elasto-plastic behavior and damage of the matrix are governed by extended Drucker–Prager plastic yielding model and ductile damage criterion. By imposing periodic boundary conditions to the RVEs, various cases subjected to uniaxial and biaxial loading conditions are carried out. During the combined transverse and in-plane shear stress states, a failure transition from compression- or tension-dominated to shear-dominated is captured, and the effects of the interfacial strength on the transition damage mechanisms are discussed. The corresponding failure locus is compared with the upper bound and lower bound predictions of three phenomenological failure criteria (Hashin, Tasi–Wu, and Puck failure criteria) for composites. It was found that in the interface-dominated failure of a CFRP lamina with a weak interface, the Hashin failure criterion performs best among the currently popular failure criteria. However, in the matrix-dominated failure with a strong interface, the Puck failure criterion performs best. Comparing these three criteria, it can be seen the Tsai–Wu may be generally better than both of others as it presents more neutral predictions in both of the examined cases.

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“…Similarly, Yang et al [25] developed a multi-scale finite element model of composites to evaluate the damage mechanism of materials under low velocity impact, which indicated that the matrix cracks initially occurred, and the delamination and fiber fracture were then initiated. Moreover, Zhu et al [26,27] proposed an inverse strategy (based on the Kriging metamodel) to simulate the three-phase finite element model of fiber-reinforced composites.…”

Section: Introductionmentioning

confidence: 99%

Micro Model of Carbon Fiber/Cyanate Ester Composites and Analysis of Machining Damage Mechanism

Liu

Jiao

Sun

et al. 2019

Chin. J. Mech. Eng.

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Machining damage occurs on the surface of carbon fiber reinforced polymer (CFRP) composites during processing. In the current simulation model of CFRP, the initial defects on the carbon fiber and the periodic random distribution of the reinforcement phase in the matrix are not considered in detail, which makes the characteristics of the cutting model significantly different from the actual processing conditions. In this paper, a novel three-phase model of carbon fiber/cyanate ester composites is proposed to simulate the machining damage of the composites. The periodic random distribution of the carbon fiber reinforced phase in the matrix was realized using a double perturbation algorithm. To achieve the stochastic distribution of the strength of a single carbon fiber, a novel method that combines the Weibull intensity distribution theory with the Monte Carlo method is presented. The mechanical properties of the cyanate matrix were characterized by fitting the stress-strain curves, and the cohesive zone model was employed to simulate the interface. Based on the model, the machining damage mechanism of the composites was revealed using finite element simulations and by conducting a theoretical analysis. Furthermore, the milling surfaces of the composites were observed using a scanning electron microscope, to verify the accuracy of the simulation results. In this study, the simulations and theoretical analysis of the carbon fiber/cyanate ester composite processing were carried out based on a novel three-phase model, which revealed the material failure and machining damage mechanism more accurately.

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Identification of the mechanical properties of the carbon fiber and the interphase region based on computational micromechanics and Kriging metamodel

Cited by 28 publications

References 32 publications

Numerical investigation of fiber random distribution on the mechanical properties of yarn in-plain woven carbon fiber-reinforced composite based on a new perturbation algorithm

Numerical investigation of fiber random distribution on the mechanical properties of yarn in-plain woven carbon fiber-reinforced composite based on a new perturbation algorithm

Computational micromechanics-based prediction of the failure of unidirectional composite lamina subjected to transverse and in-plane shear stress states

Micro Model of Carbon Fiber/Cyanate Ester Composites and Analysis of Machining Damage Mechanism

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