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引用次数: 0
摘要
我们提出了一种高阶时空自适应方法,用于描述流经可变饱和介质的流动运动的理查兹方程的数值求解。离散化基于时空非连续 Galerkin 方法,该方法具有高稳定性和高精度,并能自然处理变化网格。我们在基于残差的规范中推导出可靠、高效的后验误差估计。这些估计值使用了在局部时空元素或时空斑块上构建的平衡良好的时空通量重建。数值实验验证了估计的准确性。此外,我们还开发了 hp 自适应方法,并在一个实际案例中证明了该方法的效率和实用性。
Error Estimates and Adaptivity of the Space-Time Discontinuous Galerkin Method for Solving the Richards Equation
We present a higher-order space-time adaptive method for the numerical solution of the Richards equation that describes a flow motion through variably saturated media. The discretization is based on the space-time discontinuous Galerkin method, which provides high stability and accuracy and can naturally handle varying meshes. We derive reliable and efficient a posteriori error estimates in the residual-based norm. The estimates use well-balanced spatial and temporal flux reconstructions which are constructed locally over space-time elements or space-time patches. The accuracy of the estimates is verified by numerical experiments. Moreover, we develop the hp-adaptive method and demonstrate its efficiency and usefulness on a practically relevant example.
期刊介绍:
Journal of Scientific Computing is an international interdisciplinary forum for the publication of papers on state-of-the-art developments in scientific computing and its applications in science and engineering.
The journal publishes high-quality, peer-reviewed original papers, review papers and short communications on scientific computing.