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An adaptive relaxation algorithm for multiscale problems and application to nematic elastomers

机译:多尺度问题的自适应松弛算法及其在向列弹性体中的应用

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The relaxation of nonconvex variational problems involving free energy densitiesWwhich depend on the deformation gradient is frequently characterized by a hierarchy of structures at different and well-separated length scales. A wide range of these structures can be characterized as the superposition of one-dimensional oscillations on different length scales which are referred to as laminates of finite order. During a finite element simulation, the relaxed energyWqcneeds to be evaluated in each time step in each Gauss point in the triangulation. In this paper, an algorithmic scheme is presented that allows for the efficient computation of an approximation of the relaxed energy based on laminates of finite order in a large number of points. As an application, the relaxed energy for thin sheets of anisotropic nematic elastomers is studied in detail.
机译:取决于变形梯度的,涉及自由能密度W的非凸变分问题的缓和,通常以结构层次不同且长度尺度分开来表征。这些结构的广泛范围可以表征为一维振荡在不同长度尺度上的叠加,这被称为有限阶叠层。在有限元模拟期间,需要在三角测量的每个高斯点的每个时间步长中评估松弛能量Wq。在本文中,提出了一种算法方案,该算法方案可以在许多点上基于有限阶的层合物有效地计算松弛能量的近似值。作为应用,详细研究了各向异性向列弹性体薄片的松弛能。

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