用分部差分求和法求解浅水方程的多分辨率近似

Pub Date : 2023-12-05 DOI:10.1515/rnam-2023-0030
Ilya D. Tretyak, Gordey S. Goyman, Vladimir V. Shashkin
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引用次数: 0

摘要

我们提出了在笛卡尔几何中不同分辨率的多个矩形块网格上的浅水方程的空间近似。该近似是基于有限差分算子,它满足分部求和(SBP)的性质——分部积分的离散模拟。采用同时逼近项(SAT)方法,以弱形式施加网格块间解的连续性条件。我们证明了得到的离散散度算子和梯度算子是反共轭的。重要的结果是质量和能量守恒定律的离散类似,以及线性化方程稳定性的证明。利用气象环境下的问题,对基于空间近似的数值浅水方程模型进行了验证。测试结果证明了SBP-SAT离散化的高阶精度。不同分辨率网格块之间的接口不会产生明显的噪声。结果表明,局部网格细化对优化区域内的局部解和动态耦合区域内的全局解都有积极的影响。
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Multiresolution approximation for shallow water equations using summation-by-parts finite differences
We present spatial approximation for shallow water equations on a mesh of multiple rectangular blocks with different resolution in Cartesian geometry. The approximation is based on finite-difference operators that fulfill Summation By Parts (SBP) property – a discrete analogue of integration by parts. The solution continuity conditions between mesh blocks are imposed in a weak form using Simultaneous Approximation Terms (SAT) method.We show that the resulting discrete divergence and gradient operators are anti-conjugate. The important consequences are the discrete analogues for mass and energy conservation laws along with the proof of stability for linearized equations. The numerical shallow water equations model based on the presented spatial approximation is tested using problems with meteorological context. Test results prove high-order accuracy of SBP-SAT discretization. The interfaces between mesh blocks of different resolution produce no significant noise. The local mesh refinement is shown to have positive effect on the solution both locally inside the refined region and globally in the dynamically coupled areas.
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