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Output Error Control Using r-Adaptation

机译:使用r自适应的输出错误控制

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摘要

We present an output-based adaptive error control strategy based on unsteady r-adaptation, i.e. mesh motion, for the discontinuous Galerkin finite element method. The method uses a discrete unsteady adjoint to compute an error estimate in a scalar output of interest. Localized to space-time elements, this estimate yields an error indicator that identifies regions in space and time where refinement is required to reduce the output error. Rather than employing standard h or p refinement techniques, we adapt the mesh by moving its nodes. This allows elements to grow or shrink without increasing the degrees of freedom. The mesh motion is performed using analytical contraction/expansion functions and node-interpolated motion driven by a spring analogy in an arbitrary Lagrangian-Eulerian framework, and we demonstrate the ability of such motion to reduce output error in scalar advection-diffusion problems.
机译:对于不连续的Galerkin有限元方法,我们提出了基于非稳定r自适应(即网格运动)的基于输出的自适应错误控制策略。该方法使用离散的非稳态伴随函数来计算目标标量输出中的误差估计。定位到时空元素,此估计会产生一个误差指标,该指标标识出需要改进以减少输出误差的时空区域。与其采用标准的h或p细化技术,不如通过移动其节点来调整网格。这允许元素在不增加自由度的情况下增长或收缩。在任意拉格朗日-欧拉框架中,通过使用解析收缩/扩展函数和由弹簧类比驱动的节点插值运动来执行网格运动,并且我们证明了这种运动能够减少标量对流扩散问题中的输出误差。

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