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An automated approach for parallel adjoint-based error estimation and mesh adaptation

机译:基于并行伴随的误差估计和网格自适应的自动方法

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In finite element simulations, not all of the data are of equal importance. In fact, the primary purpose of a numerical study is often to accurately assess only one or two engineering output quantities that can be expressed as functionals. Adjoint-based error estimation provides a means to approximate the discretization error in functional quantities and mesh adaptation provides the ability to control this discretization error by locally modifying the finite element mesh. In the past, adjoint-based error estimation has only been accessible to expert practitioners in the field of solid mechanics. In this work, we present an approach to automate the process of adjoint-based error estimation and mesh adaptation on parallel machines. This process is intended to lower the barrier of entry to adjoint-based error estimation and mesh adaptation for solid mechanics practitioners. We demonstrate that this approach is effective for example problems in Poisson's equation, nonlinear elasticity, and thermomechanical elastoplasticity.
机译:在有限元模拟中,并非所有数据都具有相同的重要性。实际上,数值研究的主要目的通常是只能准确地评估一个或两个可以表现为功能的工程输出量。基于伴随的误差估计提供了近似于功能量的离散化误差的方法,并且网格自适应通过本地修改有限元网格来控制该离散化错误的能力。在过去,基于伴随的误差估计只能在固体力学领域的专家从业者访问。在这项工作中,我们提出了一种自动化并行机器上的伴随基于误差估计和网格自适应的过程的方法。该过程旨在降低进入的屏障,以实现基于伴随的误差估计和固体力学从业者的网格自适应。我们证明这种方法在泊松方程,非线性弹性和热机械弹性塑料中是有效的。

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