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Time-space-domain mesh-free finite difference based on least squares for 2D acoustic-wave modeling

机译:基于2D声波建模的最小二乘法的时间空间域网无有限差异

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Finite-difference (FD) methods approximate derivatives through a weighted summation of function values from neighboring nodes. Traditionally, these neighboring nodes are assumed to be distributed regularly, such as in square or rectangular lattices. To improve geometric flexibility, one option is to develop FD in a mesh-free discretization, in which scattered nodes can be placed suitably with respect to irregular boundaries or arbitrarily shaped anomalies without coordinate transformation or forming any triangles or tetrahedra, etc. These mesh-free FDs have had successful applications, especially in computational geoscience. However, they are all space-domain FD schemes, in which FD coefficients are derived by approximating spatial derivatives individually in the space domain. For acoustic-wave modeling, it has been proven that spacedomain FD methods normally have higher dispersion error than time-space-domain FD methods, which determine FD coefficients by approximating the time-space-domain dispersion relation. Now, we have developed a time-space-domain mesh-free FD based on minimizing the absolute error of the dispersion relation by least-squares (LS) for 2D acoustic-wave modeling. The matrix used to solve for FD coefficients in our method is determined by the spatial distribution of the nodes in a local FD stencil, whereas the temporal step size and velocity information are considered in the right side of the linear system. This feature of considering both spatial and temporal effects allows our proposed mesh-free LS-based FD to obtain greater temporal accuracy adaptive to different Courant-Friedrichs-Lewy parameters than pure space-domain mesh-free FDs. Under several 2D acoustic scenarios, the advantage was proven by comparing our method with radial-basis-function-generated FD, which is one of the most popular mesh-free FDs and has been applied in elastic wave modeling.
机译:有限差异(FD)方法通过来自相邻节点的函数值的加权求和来近似衍生物。传统上,假设这些相邻节点定期分布,例如在方形或矩形格子中。为了提高几何灵活性,一种选择是在无网状离散化中开发FD,其中散射的节点可以适当地相对于不规则的边界或任意形状的异常,而无需坐标变换或形成任何三角形或四面体等。这些网格 - 免费FDS已成功应用,尤其是计算地球科学。然而,它们是所有空间域FD方案,其中通过在空间域中单独地近似空间衍生物来导出FD系数。对于声波建模,已经证明,Spacedomain FD方法通常具有比时间空间域FD方法更高的色散误差,其通过近似时间空间域色散关系来确定FD系数。现在,我们基于最小化至少方块(LS)对2D声波建模来最小化色散关系的绝对误差来开发了一个时空域网FD。用于在我们的方法中解决FD系数的矩阵由本地FD模板中的节点的空间分布确定,而在线性系统的右侧考虑时间步长和速度信息。考虑到空间和时间效应的这种特征允许我们提出的无基于网格LS的FD,以获得比纯空间域网的不同求腓蓟碎石参数适应更大的时间精度。在几个2D声学场景下,通过将我们的方法与径向基本功能生成的FD进行比较,证明了优点,这是最受欢迎的无网线FD之一,并且已应用于弹性波造型中。

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