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A high order positivity-preserving conservative WENO remapping method on 2D quadrilateral meshes

机译:2D四边形网格中的高阶正阳性保留保守维护方法

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In this paper, we present high order accurate positivity-preserving conservative remapping algorithm which is based on the multi-resolution weighted essentially non-oscillatory (WENO) reconstruction. We use a third-order method on 2D quadrilateral meshes as an example to present the algorithm. The method can effectively remap the physical variables after mesh rezoning in the ALE algorithm. By calculating the intersection exactly, this method does not require the same connectivity between the old and new meshes. By reconstructing a quadratic polynomial and a zero-order polynomial for each cell in a two-dimensional domain, this method assigns nonlinear weights for these polynomials accordingly after calculating the smoothness indicators over the integration area, yielding third order accuracy without numerical oscillations. After calculating the overlaps between the old and new meshes and integrating the polynomials over the intersections, the remapping is completed. Furthermore, to ensure the positivity-preserving property of relevant physical variables in hydrodynamics numerical simulation such as density and internal energy, a simple and efficient positive-preserving limiter is adopted to slightly modify the reconstructed polynomials, which can maintain the original order of accuracy and conservation. The algorithm can be extended to higher order accuracy using higher order reconstruction and higher order integration formula over the intersection areas. A series of numerical experiments are performed to test the properties of the multi-resolution WENO conservative remapping algorithm. Numerical results show that the algorithm is conservative, positivity-preserving, highly efficient, third-order accurate for smooth problems, and essentially non-oscillatory for discontinuous problems. (C) 2020 Elsevier B.V. All rights reserved.
机译:在本文中,我们呈现了高阶精确的阳性保存保守算法,其基于基本上非振荡(WENO)重建的多分辨率加权。我们在2D四边形网格上使用三阶方法作为示例以呈现算法。该方法可以在ALE算法中的网格重新划分之后有效地重新映射物理变量。通过确切地计算交叉点,此方法不需要旧网格和新网格之间的相同连接。通过重建二维域中的每个单元的二次多项式和零阶多项式,该方法在计算整合区域上的平滑度指示器之后,该方法为这些多项式分配这些多项式的非线性权重,在没有数值振荡的情况下产生第三顺序精度。在计算旧网格和新网格之间的重叠并在交叉点上集成多项式,重新映射完成。此外,为了确保流体动力学数值模拟中的相关物理变量的正阳性保存性质,例如密度和内部能量,采用简单高效的正保存限制器略微修改重建的多项式,这可以保持最初的精度顺序和保护。在交叉区上使用高阶重建和高阶集成公式,可以将该算法扩展到更高的顺序精度。进行一系列数值实验以测试多分辨率Weno保守重新映射算法的特性。数值结果表明,该算法是保守的,积极的保留,高效,三阶的准确性,用于平稳问题,基本上是非振荡的不连续问题。 (c)2020 Elsevier B.v.保留所有权利。

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