Rate dependent mode II traction separation law for S-2 glass/epoxy interface using a microdroplet test method

Tamrakar, Sandeep; Ganesh, Raja; Sockalingam, Subramani; Gillespie, John W.

doi:10.1016/j.compositesa.2019.105487

Cited by 24 publications

(16 citation statements)

References 29 publications

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“…1 Some experimental methods based on single fibres have been developed to measure IFSS, such as the single-fibre pull-out test, 2 microdebond test, 3 fragmentation test 4 and microdroplet test. 1,[5][6][7][8][9][10][11][12] Regarding the microdroplet test, numerical simulation, such as finite element analysis (FEA), is an important method to study the process of interfacial damage. In the FEA simulations, cohesive elements were usually adopted at the surface between fibre and resin.…”

Section: Introductionmentioning

confidence: 99%

“…In the FEA simulations, cohesive elements were usually adopted at the surface between fibre and resin. 1,[5][6][7][8][9][10][11][12] In the analysis of microcracking, cohesive elements were also widely used to simulate the process of interfacial failure. [13][14][15][16] However, the cohesive parameters of microdroplet tests are often determined by trial and error.…”

Section: Introductionmentioning

confidence: 99%

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Determination of cohesive parameters for fibre-reinforced composite interfaces based on finite element analysis and machine learning

Yuan

Zhao

Liu

et al. 2022

Journal of Composite Materials

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This paper proposed a method for determining the cohesive parameters of fibre-reinforced composite interfaces based on finite element analysis (FEA) and machine learning. 3D FEA models with different boundary conditions and 2D FEA models were created to simulate the process of microdroplet tests, and to compare their maximum reaction forces and the time costs. The proper FEA model that is accurate and efficient was adopted to establish the data set of machine learning. Machine learning based on the FEA data set was divided into two steps: feature selection and kernel ridge regression (KRR) prediction. Feature selection was carried out to confirm the validity of the features, to obtain the optimal parameter of KRR prediction and to quantitatively illustrate the effect of the cohesive parameters on the maximum reaction force. Interfacial shear strength (IFSS) and interfacial fracture toughness (IFFT) of a poly ( p-phenylene benzobisoxazole) (PBO) fibre-reinforced epoxy composite were successfully predicted by the KRR method without extra mechanical theories or assumptions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of cohesive parameters for fibre-reinforced composite interfaces based on finite element analysis and machine learning

Yuan

Zhao

Liu

et al. 2022

Journal of Composite Materials

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“…The other type of method is to develop phenomenological expressions in which the fracture toughness and cohesive strength are expressed as functions of the opening rate at the crack tip [17][18][19][20][21][22][23][24]. Although the physical mechanism of crack fracture can be better reflected using the viscoelastic constitutive model, the mathematic representation of the viscoelastic model is very complicated and requires high computational time.…”

Section: Introductionmentioning

confidence: 99%

“…The most common rate-dependent phenomenological model for interface failure simulation is the logarithmic model derived from the Johnson-Cook constitutive model, where the parameters of the cohesive model have a linear relationship with the logarithm of the opening rate [17][18][19][20]. Karkkainen et al [17] proposed a logarithmic-form rate-dependent behavior cohesive model to simulate the failure of the bonding interface between aluminum and resin, together with a maximum strain-based failure criterion for determining the onset of damage, without considering the damage evolution process.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed models calibrate well the rate dependency of fracture energy. Tamrakar et al [20] used the droplet experiment method to determine the parameters of a rate-dependent cohesive model for composite interface, where the experimentally measured strength and fracture toughness show a linear relationship with the logarithm of the opening rate.…”

Section: Introductionmentioning

confidence: 99%

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Rate-Dependent Cohesive Models for Dynamic Mode I Interfacial Propagation and Failure of Unidirectional Composite Laminates

et al. 2021

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With the increasing application of composite materials in anti-impact structure, the development of reliable rate-dependent interlaminar constitutive model becomes necessary. This study aims to assess and evaluate the applicability of three types of rate-dependent cohesive models (logarithmic, exponential and power) in numerical delamination simulation, through comparison with dynamic test results of double cantilever beam (DCB) specimens made from T700/MTM28-1 composite laminate. Crack propagation length history profiles are extracted to calibrate the numerical models. Crack propagation contours and fracture toughness data are predicted, extracted and compared to investigate the difference of the three different rate-dependent cohesive models. The variation of cohesive zone length and force profiles with the implemented models is also investigated. The results suggest that the crack propagation length can be better predicted by logarithmic and power models. Although crack propagation length profiles are well predicted, the numerical calculated dynamic fracture toughness tends to be higher than that of experimental measured results. The three models also show differences in the prediction of maximum loading forces. The results of this work provide useful guidance for the development of more efficient cohesive models and more reliable interface failure simulation of impact problems.

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Modeling the progressive damage of cryogenic microdroplet tests using a temperature‐friction cohesive zone model

Li,

Xu,

Zou

et al. 2023

Polymer Composites

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The fiber/resin interfacial mechanical properties in low‐temperature environments are crucial for composite materials, and a temperature‐friction cohesive zone model is proposed in this paper. This model combines the temperature effect, the interfacial friction effect, and the interfacial debonding. The mechanical characteristics of the fiber/matrix interface are described using this model. The proposed model has been implemented in ABAQUS using the VUMAT subroutine. To verify this model, microdroplet debonding experiments were conducted at temperatures 298, 193, and 77 K. The results of the simulation and the experiment matched well. The proposed model takes temperature differences as a parameter and can characterize the interfacial mechanical response at different temperatures. In addition, the temperature, friction, interface parameters, and microdroplet size effects on the mechanical properties of the fiber/matrix interface were investigated. The results show that interfacial friction and temperature differences have a significant impact on the interfacial mechanical properties. The microdroplet size also has an influence on interfacial shear strength.Highlights A temperature‐friction cohesive zone model is proposed. Cryogenic microdroplet debonding tests were conducted. The finite element method results are stable and close to the regression line of tests. The temperature difference changes the stress state of the interface. The interfacial sliding friction force has a large dispersion.

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Rate dependent mode II traction separation law for S-2 glass/epoxy interface using a microdroplet test method

Cited by 24 publications

References 29 publications

Determination of cohesive parameters for fibre-reinforced composite interfaces based on finite element analysis and machine learning

Determination of cohesive parameters for fibre-reinforced composite interfaces based on finite element analysis and machine learning

Rate-Dependent Cohesive Models for Dynamic Mode I Interfacial Propagation and Failure of Unidirectional Composite Laminates

Modeling the progressive damage of cryogenic microdroplet tests using a temperature‐friction cohesive zone model

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