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Adjoint-based error estimation and mesh adaptation for stabilized finite deformation elasticity

机译:稳定有限变形弹性的基于伴随的误差估计和网格自适应

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Adjoint-based error estimation provides the ability to approximate the discretization error for a functional quantity of interest, such as point-wise displacements or stresses. Mesh adaptation provides the ability to control the discretization error to obtain more accurate solutions while still remaining computationally feasible. In this paper, we develop an approach for adjoint-based error estimation and mesh adaptation for nonlinear finite deformation elasticity using a mixed stabilized finite element method. We apply our developed technique to a well known test case, the Cook's membrane problem, to validate and demonstrate its effectiveness. We then demonstrate the utility of adjoint-based error estimation and mesh adaptation for a three-dimensional example motivated by the study of a cell embedded in a matrix. (C) 2018 Elsevier B.V. All rights reserved.
机译:基于伴随的误差估计提供了针对感兴趣的功能量(如逐点位移或应力)近似离散化误差的能力。网格自适应提供了控制离散误差以获得更准确解的能力,同时仍保持计算上的可行性。在本文中,我们使用混合稳定有限元方法开发了一种基于伴随的误差估计和网格自适应的方法,用于非线性有限变形弹性。我们将开发的技术应用于众所周知的测试案例库克膜问题,以验证并证明其有效性。然后,我们针对基于嵌入矩阵的单元格研究的三维示例演示了基于伴随的误差估计和网格自适应的实用程序。 (C)2018 Elsevier B.V.保留所有权利。

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