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A digital image correlation analysis on a sheet AA6061-T6 bi-failure specimen to predict static failure

机译:纸张AA6061-T6双衰竭标本的数字图像相关分析预测静态故障

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摘要

The failure prediction on the mechanism of fracture in fine grained sheets is an unsolved problem in the framework of non-linear plastic damage and fracture mechanics. Several engineering ductile materials exhibit inelastic behaviour with corresponding large deformations. This work hence focuses on a bi-failure specimen made of an Aluminium alloy AA6061-T6 under a tensile loading circumstance with a geometry adapted to determine the failure phenomenon at high and low stress triaxiality states. A 3D non-contact full-field optical technique, Digital Image Correlation, DIC, is employed to process the experimental data in which the force/displacement response in addition to the internal fields are thereby documented. One of the purposes of the specimen's geometry is to test the robustness of proposed DIC procedure. So, to further pursue the failure phenomenon, an uncoupled model, Gurson-Tvergaard-Needleman (GTN), is computationally implemented using an explicit finite element analysis.
机译:细粒片材骨折机理的故障预测是非线性塑料损伤框架中的一个未解决的问题和裂缝力学。 几种工程延性材料表现出具有相应大变形的无弹性行为。 因此,该工作侧重于在拉伸负荷环境下由铝合金AA6061-T6制成的双衰竭样本,其几何形状适于确定高应力三轴性状态下的失效现象。 使用3D非接触全场光学技术,数字图像相关性DIC来处理除了内部字段之外的力/位移响应之外的实验数据。 标本几何形状的一个目的是测试所提出的DIC程序的稳健性。 因此,为了进一步追求失败现象,使用明确的有限元分析计算地实现了未解除的模型Gurson-Tvergaard-Constleman(GTN)。

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