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A GTN Failure Analysis of an AA6061-T6 Bi-Failure Specimen

机译:AA6061-T6双衰竭标本的GTN故障分析

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In the framework of non-linear fracture mechanics, this study concentrates on the failure prediction of a bi-failure specimen made of Aluminum alloy AA6061-T6 under tensile loading state. Thus, it firstly aims to experimentally evaluate the specimen force/displacement response over a uniaxial tensile test. The mechanical behavior of the material in addition to the modified geometrical properties of the test specimen are fully described. To obtain the experimental data, an advanced optical technique, Digital Image Correlation (DIC), is used to evaluate the internal variables such as displacement in the presence of the failure phenomenon. To acquire the numerical assessment, the problem is modeled within the Finite Element (FE) formulation in ABAQUS assuming a defined ductile damage criterion, Gurson-Tvergaard-Needleman (GTN), to attain the intended results. Successful numerical results obtained from FE were validated with experimental DIC data. Here, the failure evolution was perceived by DIC observations, allowing to explain the failure modes. Considering all acquired results, it can be concluded that the presented methodology is capable to predict the material damage and failure process.
机译:在非线性骨折力学框架中,该研究浓缩了由铝合金AA6061-T6在拉伸负载状态下制成的双衰竭试样的破坏预测。因此,首先旨在通过在单轴拉伸试验上进行实验评估试样力/位移响应。除了测试样品的改性几何特性之外,材料的机械特性是完全描述的。为了获得实验数据,使用先进的光学技术,数字图像相关(DIC),用于评估在存在故障现象中的诸如位移的内部变量。为了获取数值评估,假设规定的延性损伤标准,Gurson-Tvergaard-ConseLeman(GTN)在ABAQUS中的有限元(Fe)配方内建模了该问题,以获得预期结果。用实验DIC数据验证了从Fe获得的成功数值结果。这里,通过DIC观察感知失败的演化,允许解释失败模式。考虑到所有获得的结果,可以得出结论,所提出的方法能够预测物质损坏和故障过程。

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