Failure analysis of composite laminates under transverse shear load via XFEM

Jia, Liyong; Zhang, Chen; Hu, Zhiyong; Yu, Ling-Shan; Tang, Changhong

doi:10.1016/j.compstruct.2021.113615

Cited by 15 publications

(5 citation statements)

References 21 publications

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“…The extended finite element method can overcome this limitation and can accurately predict the local stress field and stress concentration field without refining the mesh, so it has an advantage in fatigue crack simulation research. 14 The model of fatigue crack propagation studied in this paper is based on the Paris Law. In Abaqus, the crack propagation rate is related to the energy release rate, and the energy release rate and the parameters of the Paris Law can be converted.…”

Section: The Simplification Methods Of the Finite Element Modelmentioning

confidence: 99%

Prediction of fatigue crack propagation based on dynamic Bayesian network

Wang

Yang

et al. 2022

Advances in Mechanical Engineering

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To address the problem of low prediction accuracy in the current research on fatigue crack propagation prediction, a prediction method of fatigue crack propagation based on a dynamic Bayesian network is proposed in this paper. The Paris Law of crack propagation and the extended finite element method (XFEM) are combined to establish the state equation of crack propagation. The uncertain factors of crack propagation are analyzed, and the prediction model of fatigue crack propagation based on the dynamic Bayesian network is constructed. A Bayesian inference algorithm based on the combination of Gaussian particle filter and firefly algorithm is proposed. The fatigue experiment of the specimen with the pre-cracks is carried out to test the correlation between the fatigue load cycles and the crack propagation depth. The experimental results show that the crack propagation prediction method proposed in this paper can effectively improve the prediction accuracy of crack propagation depth.

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Section: The Simplification Methods Of the Finite Element Modelmentioning

confidence: 99%

Prediction of fatigue crack propagation based on dynamic Bayesian network

Wang

Yang

et al. 2022

Advances in Mechanical Engineering

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“…The XFEM has the ability to predict local stress fields and stress concentration fields accurately without refining meshes. In addition, this method can predict delamination propagation without pre-cracks, which are obvious prior to the CZM [165]. Some investigators have applied the XFEM to analyze fatigue delamination onset and propagation [166]; (3) It is difficult for traditional FDDMs to solve the problem of spatial delamination for angle-ply laminated composite structures.…”

Section: Summary and Prospectsmentioning

confidence: 99%

Review and Assessment of Fatigue Delamination Damage of Laminated Composite Structures

Deng,

Zhou,

et al. 2023

Materials

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Fatigue delamination damage is one of the most important fatigue failure modes for laminated composite structures. However, there are still many challenging problems in the development of the theoretical framework, mathematical/physical models, and numerical simulation of fatigue delamination. What is more, it is essential to establish a systematic classification of these methods and models. This article reviews the experimental phenomena of delamination onset and propagation under fatigue loading. The authors reviewed the commonly used phenomenological models for laminated composite structures. The research methods, general modeling formulas, and development prospects of phenomenological models were presented in detail. Based on the analysis of finite element models (FEMs) for laminated composite structures, several simulation methods for fatigue delamination damage models (FDDMs) were carefully classified. Then, the whole procedure, range of applications, capability assessment, and advantages and limitations of the models, which were based on four types of theoretical frameworks, were also discussed in detail. The theoretical frameworks include the strength theory model (SM), fracture mechanics model (FM), damage mechanics model (DM), and hybrid model (HM). To the best of the authors’ knowledge, the FDDM based on the modified Paris law within the framework of hybrid fracture and damage mechanics is the most effective method so far. However, it is difficult for the traditional FDDM to solve the problem of the spatial delamination of complex structures. In addition, the balance between the cost of acquiring the model and the computational efficiency of the model is also critical. Therefore, several potential research directions, such as the extended finite element method (XFEM), isogeometric analysis (IGA), phase-field model (PFM), artificial intelligence algorithm, and higher-order deformation theory (HODT), have been presented in the conclusions. Through validation by investigators, these research directions have the ability to overcome the challenging technical issues in the fatigue delamination prediction of laminated composite structures.

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“…Therefore, based on the empirical method, the T A B L E 1 Elastic constants of carbon fiber-reinforced polymer specimens (E 1 , E 2 and E 3 , ν 12 , G 12 , and G 13 and G 23 represent the longitudinal tensile modulus, transverse tensile moduli, Poisson's ratio, in-plane shear modulus, and interlaminar shear moduli, respectively). strain-based, three-dimensional Chang-Chang failure criterion, 36 Hashin failure criterion, and the matrix tensile failure criterion were improved. In this improved progressive damage model, the shearing effect on the matrix was taken into account the matrix failure criterion.…”

Section: Improved Progressive Damage Modelmentioning

confidence: 99%

“…Since the matrix strength is weaker than that of the reinforcement, the tensile failure of matrix should occur first. Therefore, based on the empirical method, the strain‐based, three‐dimensional Chang‐Chang failure criterion, 36 Hashin failure criterion, and the matrix tensile failure criterion were improved. In this improved progressive damage model, the shearing effect on the matrix was taken into account the matrix failure criterion.…”

Section: Finite Element Analysismentioning

confidence: 99%

Prediction of pseudo‐ductility and structural optimization of nacre‐inspired carbon fiber‐reinforced polymer laminate

Xiao,

Li,

Han

et al. 2023

Polymer Composites

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To enhance the ductility of carbon fiber‐reinforced polymer (CFRP) composites, a variety of nacre‐inspired structures with discontinuities were constructed based on the ratio of overlapping length to CFRP laminate thickness. The damage mechanisms and tensile characteristics of discontinuous laminates were elucidated using finite element analysis and experimental investigation. To anticipate the mechanical behavior of the CFRP laminate, an improved Chang‐Chang failure criteria was devised. Moreover, a model adopts the Benzeggagh‐Kenane criterion on cohesive surfaces for delamination initiation and propagation. The predicted stress–strain values are validated using experimental data under tensile stress. Furthermore, a mathematical model accurately predicted the relationship between the tensile performance of nacre‐inspired laminate and overlapping length. According to the findings, the longer the overlapping length (more than 19.5 mm) is, the lower the pseudo‐ductility. Meanwhile, the shorter the overlapping length (less than 17.5 mm) is, the lower the tensile strength. Furthermore, the laminate exhibits some pseudo‐ductility as well as little decrease in tensile strength when the overlapping length is approximately 18.5 mm.Highlights A mathematical model for predicting the tensile properties of various nacre‐inspired laminates was established. The relationship between the discontinuous structure and the pseudo‐ductility of the nacre‐inspired laminate was revealed. Compared with other similar structural laminates, the laminate with an overlapping length of 17.5 mm has better overall performance. Proposed an improved Chang‐Chang progressive failure criterion that was utilized to simulate and analyze the mechanical response and damage of the nacre‐inspired laminates under tension.

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Failure analysis of composite laminates under transverse shear load via XFEM

Cited by 15 publications

References 21 publications

Prediction of fatigue crack propagation based on dynamic Bayesian network

Prediction of fatigue crack propagation based on dynamic Bayesian network

Review and Assessment of Fatigue Delamination Damage of Laminated Composite Structures

Prediction of pseudo‐ductility and structural optimization of nacre‐inspired carbon fiber‐reinforced polymer laminate

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