A High-Order Finite Volume Method for 3D Elastic Modelling on Unstructured Meshes

Wensheng Zhang
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Abstract

In this chapter, a new efficient high-order finite volume method for 3D elastic modelling on unstructured meshes is developed. The stencil for the high-order polynomial reconstruction is generated by subdividing the relative coarse tetrahedrons. The reconstruction on the stencil is performed by using cell-averaged quantities represented by the hierarchical orthonormal basis functions. Unlike the traditional high-order finite volume method, the new method has a very local property like the discontinuous Galerkin method. Furthermore, it can be written as an inner-split computational scheme which is beneficial to reducing computational amount. The reconstruction matrix is invertible and remains unchanged for all tetrahedrons, and thus it can be pre-computed and stored before time evolution. These special advantages facilitate the parallelization and high-order computations. The high-order accuracy in time is obtained by the Runge-Kutta method. Numerical computations including a 3D real model with complex topography demonstrate the effectiveness and good adaptability to complex topography.
非结构化网格三维弹性建模的高阶有限体积法
本章提出了一种高效的非结构化网格三维弹性建模的高阶有限体积方法。通过对相对粗糙的四面体进行细分,生成高阶多项式重构模板。利用分层正交基函数表示的单元平均量对模板进行重构。与传统的高阶有限体积法不同,该方法具有不连续伽辽金法的局域性。此外,它可以写成一种内分裂的计算方案,这有利于减少计算量。重构矩阵是可逆的,对所有四面体都保持不变,因此可以在时间进化之前进行预计算和存储。这些特殊的优点有利于并行化和高阶计算。采用龙格-库塔法获得了高阶时间精度。包括复杂地形的三维真实模型在内的数值计算表明了该方法的有效性和对复杂地形的良好适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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