Parameters prediction of cohesive zone model for simulating composite/adhesive delamination in hygrothermal environments

Cheng, Xiaoquan; Zhang, Qian; Zhang, Jie; Guo, Xingming; Niu, Zhongrong

doi:10.1016/j.compositesb.2019.03.002

Cited by 25 publications

(20 citation statements)

References 18 publications

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“…Table 2 displays the composite's predicted and tested properties. 56 It can be found that the previously mentioned methods for predicting the properties are appropriately accurate.…”

Section: Finite Element Modelmentioning

confidence: 99%

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Bi‐stable cured shape of CFRP variant structures with asymmetric layup: Rapid prediction and inverse design

Sun,

Liu,

Zhao

et al. 2024

Polymer Composites

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This study aims to produce variant composite structures that can precisely maintain equilibrium after changing stable states. A rapid and precise prediction method for the cure‐induced bi‐stable warping was developed, and the inverse design for the required part's structural and material parameters was investigated. Firstly, the mechanism causing the warping was investigated. Then, in order to acquire basic data for a data‐driven model to achieve rapid and accurate warping prediction, a finite element analysis (FEA) was developed, with most of the prediction deviations being under 10%. Additionally, deformation forms of variant parts with various layups and shapes were studied to offer guidance for the different shape requirements. The structural and material parameters were analyzed using the response surface methodology and sensitivity analysis. After removing parameters like all rubbery properties with low influence, basic data from the parameterized FEA was utilized to build a precise proxy model. Finally, for the variant structures requiring reasonable shape forms, the inverse design of the material, layup, and sizes can be achieved using the proxy model and the non‐dominated sorting genetic algorithm II. All optimization results were validated using FEA or experiments. The deformation form in the two steady states of each case meets the specifications. The shape difference between the produced part and the required shape is less than 5 mm, and the design deviation for the maximum deformation is less than 10%. Consequently, the rapid prediction and inverse design methods for the bi‐stable shape of variant composite parts were effective and accurate.Highlights All the rubbery properties are almost uncorrelated to the bi‐stable warping. The proxy model can rapidly and precisely predict the bi‐stable shape. The inverse design can be achieved for a part requiring proper bi‐stable shapes. The design part can precisely maintain equilibrium with the required shapes.

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“…Table 2 displays the composite's predicted and tested properties. 56 It can be found that the previously mentioned methods for predicting the properties are appropriately accurate.…”

Section: Finite Element Modelmentioning

confidence: 99%

“…The predicted and tested properties of the composite. 56 Properties Experimental data Predicted data The deformation values of the corresponding points on the diagonal are equal, as are the maximum warpings of the two steady states.…”

Section: Propertiesmentioning

confidence: 99%

Bi‐stable cured shape of CFRP variant structures with asymmetric layup: Rapid prediction and inverse design

Sun,

Liu,

Zhao

et al. 2024

Polymer Composites

View full text Add to dashboard Cite

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“…where σ 0 is the property for the dry specimen and s is the ratio of the residual property value at the saturation level to the value of the same property for the dry material. Through a large amount of experimental data analysis, Gibson et al [26] proposed a model for predicting the degradation of mechanical properties of composite materials during high-temperature ablation, shown as Equation (10). In this model, the environmental temperature and glass transition temperature were the main function variables, and the parameter R n was introduced to describe the strength degradation caused by the combustion and decomposition of the resin matrix.…”

Section: Empirical Modelsmentioning

confidence: 99%

“…where PðTÞ is a particular property, P U and P R are the unrelaxed (low temperature) and relaxed (high temperature) values of that property, k is a constant describing the breadth of the distribution, T is the temperature variable, and T′ is the mechanically determined glass transition temperature. Cao et al [27] modified Equation (10) and proposed a semiempirical model related to the glass transition temperature to describe the degradation of CFRP tensile strength caused by high temperature, shown as…”

Section: Empirical Modelsmentioning

confidence: 99%

“…Unbound molecules diffuse into the internal pores and cracks of the composite materials, without reacting with the resin matrix; therefore, the polymer does not swell and plasticize. The bound molecules combined with the epoxy hydrophilic group destroy the polymer chain and lead to the expansion and plasticization of the epoxy resin [9,10].…”

Section: Introductionmentioning

confidence: 99%

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Acid Aging of CFRP Composite Materials for Solar UAV Structure

Shen

Liu

et al. 2021

International Journal of Aerospace Engineering

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The purpose of this investigation is to study the performance degradation mechanism of CRRP composite materials used in the structure of a solar UAV under acid rain environment and to provide references for the structural design of the solar UAV. An aging test was designed according to the actual working conditions of the solar unmanned aerial vehicle and was carried out by continuously immersing the composite material in both deionized water and an acidic solution with a pH of 2.0 at 60°C. The mechanical behavior of the composites was studied through a three-point bending test. The results showed that after 120 days of aging test, the composite material exhibits different characteristics in the two conditions. The composite material under the hygrothermal conditions finally reached the equilibrium moisture absorption content of 1.07%, and the flexural strength decreased by 8.77%. The composite material under acidic conditions deviated from the Fick behavior in the final stage of the test, and the final moisture content was 2.88%, and the bending strength decreased by 26.43%. Several typical empirical models were analyzed, and a hyperbolic tangent function empirical model with moisture content as the main variable was used to predict the CFRP flexural strength degradation process, and good results were obtained. The effect of aging conditions on the microstructure of composite materials was observed by SEM, and the aging mechanism of composite materials was analyzed. The corrosion of the polymer matrix and the debonding of the fiber/matrix interface are the root causes of the performance degradation of composite materials.

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A rapid and precise approach to predicting the cure‐induced warping of T‐shaped composite parts with inconsistent layup

Sun,

Liu,

Zhao

et al. 2024

Polymer Composites

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This work involved the precise prediction and in‐depth analysis of cure‐induced warping of T‐shaped parts with inconsistent layup. First, the warping mechanism of this kind of part was studied. Then, a finite element analysis (FEA) that considered the parts' structural characteristics and inconsistent layup using the curing mechanical constitutive model was developed to predict the warping. Following verification of the model's accuracy, the effects of material and structural characteristics on warping were investigated. When designing T‐shaped parts, selecting materials with lower thermal expansion coefficients can help minimize warping. Additionally, increasing the radius of the chamfer at the rib and flange connections is also effective. By taking into account the effects of structural parameters and inconsistent layup by using both classical laminated plate theory and artificial neural networks (ANN), a rapid and accurate surrogate model for warping prediction was finally developed. It was discovered that the two‐layer ANN model performed better than the other two models and could predict warping with accuracy and speed. For the parts analyzed in this work, this model is able to identify the fluctuations of warping captured by FEA. Moreover, by defining deviation as the difference between the predicted values of the surrogate model and the FEA, it can be observed that the majority of deviations for the validation set are within ±1.5 mm. This demonstrates that the two‐layer ANN possesses strong generalization ability and high accuracy in predicting warping.Highlights The inconsistent layup could significantly affect the T‐shaped part's warping. Cutting off a part's rib may significantly reduce its warping. A rapid and accurate model for warping prediction was developed. The layup and structure's influence could be identified by the two‐layer ANN.

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Parameters prediction of cohesive zone model for simulating composite/adhesive delamination in hygrothermal environments

Cited by 25 publications

References 18 publications

Bi‐stable cured shape of CFRP variant structures with asymmetric layup: Rapid prediction and inverse design

Bi‐stable cured shape of CFRP variant structures with asymmetric layup: Rapid prediction and inverse design

Acid Aging of CFRP Composite Materials for Solar UAV Structure

A rapid and precise approach to predicting the cure‐induced warping of T‐shaped composite parts with inconsistent layup

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