Concurrent predictions of tension, compression, and shear characteristics of epoxy using three-network viscoplastic model

Siddharth Kumar, Sarthak S Singh
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Abstract

Epoxy resin controls the mechanical behavior of fiber-reinforced epoxy composites, which are extensively deployed in the aerospace and automotive industries. For numerical simulations to accurately predict the mechanical deformations of these components under multi-axial loading, matrix characteristics must account for tension, compression, and shear loads at varying strain rates. The existing literature lacks a comprehensive approach to predicting the experimental outcomes across all three loading conditions in a polymer matrix simultaneously using a unified set of viscoelastic or viscoplastic model parameters. In this study, the Three-Network (TN) viscoplastic model was successfully applied to concurrently predict the tension, compression, and shear experimental data of an epoxy resin, published by Littel et al. ( Journal of Aerospace Engg., 2008). The elastic modulus, strain softening-hardening response after yield for tension-compression deformation, and post-yield stress saturation under shear deformation are all accurately predicted by the model at different rates of loading conditions. The predicted and simulated results matched well when the TN viscoplastic model predicted parameters were employed as material property in Abaqus (a commercial finite element software) to simulate the deformation modes. This integrated approach highlights the potential of the TN model in enabling precise predictions for epoxy-based composites, which is crucial for optimizing their performance and reliability in aerospace engineering.
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利用三网络粘塑性模型同时预测环氧树脂的拉伸、压缩和剪切特性
环氧树脂控制着纤维增强环氧复合材料的机械行为,这种复合材料广泛应用于航空航天和汽车行业。要通过数值模拟准确预测这些部件在多轴载荷作用下的机械变形,基体特性必须考虑到不同应变速率下的拉伸、压缩和剪切载荷。现有文献缺乏一种全面的方法,可以使用一套统一的粘弹性或粘塑性模型参数,同时预测聚合物基体在所有三种加载条件下的实验结果。在本研究中,成功应用了三网络(TN)粘塑模型来同时预测环氧树脂的拉伸、压缩和剪切实验数据。该模型准确预测了不同加载速率条件下的弹性模量、拉伸-压缩变形屈服后的应变软化-硬化响应以及剪切变形屈服后的应力饱和。在 Abaqus(一种商用有限元软件)中将 TN 粘塑模型的预测参数作为材料属性来模拟变形模式时,预测结果和模拟结果非常吻合。这种综合方法凸显了 TN 模型在实现环氧基复合材料精确预测方面的潜力,这对于优化其在航空航天工程中的性能和可靠性至关重要。
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来源期刊
CiteScore
3.80
自引率
10.00%
发文量
625
审稿时长
4.3 months
期刊介绍: The Journal of Mechanical Engineering Science advances the understanding of both the fundamentals of engineering science and its application to the solution of challenges and problems in engineering.
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