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Error estimation, adaptivity and data transfer in enriched plasticity continua to analysis of shear band localization

机译:丰富的塑性连续性中的误差估计,适应性和数据传输,以分析剪切带局部

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In this paper, an adaptive FE analysis is presented based on error estimation, adaptive mesh refinement and data transfer for enriched plasticity continua in the modelling of strain localization. As the classical continuum models suffer from pathological mesh-dependence in the strain softening models, the governing equations are regularized by adding rotational degrees-of-freedom to the conventional degrees-of-freedom. Adaptive strategy using element elongation is applied to compute the distribution of required element size using the estimated error distribution. Once a new mesh is generated, state variables and history-dependent variables are mapped from the old finite element mesh to the new one. In order to transfer the history-dependent variables from the old to new mesh, the values of internal variables available at Gauss point are first projected at nodes of old mesh, then the values of the old nodes are transferred to the nodes of new mesh and finally, the values at Gauss points of new elements are determined with respect to nodal values of the new mesh. Finally, the efficiency of the proposed model and computational algorithms is demonstrated by several numerical examples.
机译:本文提出了一种基于误差估计,自适应网格细化和数据传输的自适应有限元分析方法,可以在应变局部化建模中获得丰富的可塑性连续性。由于经典连续谱模型在应变软化模型中受病理网格的影响,因此通过将旋转自由度添加到常规自由度来对控制方程进行正则化。应用了使用元素伸长的自适应策略,以利用估计的误差分布来计算所需元素尺寸的分布。一旦生成了新的网格,状态变量和历史相关变量就会从旧的有限元网格映射到新的网格。为了将与历史相关的变量从旧网格转移到新网格,首先将高斯点处可用的内部变量的值投影到旧网格的节点上,然后将旧节点的值转移到新网格的节点上,然后最后,相对于新网格的节点值确定新元素在高斯点处的值。最后,通过几个数值例子证明了所提出模型和计算算法的效率。

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