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Elastoplastic Mesoscale Homogenization of Composite Materials

机译:复合材料的弹塑性中尺度均质化

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Mesoscale homogenization provides a computationally 'efficient way of capturing some degree of local variation in the behavior of a composite microstructure. In this work, techniques are explored in which the local two-phase microstructure is homogenized using the moving-window generalized method of cells (GMC) technique. Both elastic and plastic material behavior is investigated using GMC-generated anisotropic stress-strain curves. An optimization procedure is used to define Hill's yield criterion parameters which best fit the GMC-generated data. Two perfectly plastic models are developed based on the GMC results; these are called the subcell initial yield model and the matrix average yield model. A technique is also developed which, incorporates hardening behavior., Different windowing techniques are investigated: an overlapping windowing technique which requires more computational time, and a nonoverlapping tech-nique which requires less computational time. It is found-that the matrix average model using small nonoverlapping windows is the best technique in the cases studied, combining accuracy and computational efficiency.
机译:中尺度均质化提供了一种捕获复合微结构行为中某种程度的局部变化的有效计算方式。在这项工作中,探索了使用移动窗口广义细胞(GMC)技术将局部两相微结构均质化的技术。使用GMC生成的各向异性应力-应变曲线研究了弹性和塑性材料的行为。优化过程用于定义最适合GMC生成数据的希尔的屈服准则参数。根据GMC结果,开发了两个完美的塑性模型。这些被称为子电池初始产量模型和矩阵平均产量模型。还开发了一种结合硬化行为的技术。研究了不同的窗口技术:需要更多计算时间的重叠窗口技术,以及需要更少计算时间的不重叠技术。结果发现,结合精度和计算效率,使用小的不重叠窗口的矩阵平均模型是研究案例中的最佳技术。

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