Dispersion-relation-preserving finite difference schemes for computational acoustics
Journal of Computational Physics
Implicit, high-resolution, compact schemes for gas dynamics and aeroacoustics
Journal of Computational Physics
Journal of Computational Physics
A fast solver of the shallow water equations on a sphere using a combined compact difference scheme
Journal of Computational Physics
A family of low dispersive and low dissipative explicit schemes for flow and noise computations
Journal of Computational Physics
High-order compact finite-difference methods on general overset grids
Journal of Computational Physics
High-order compact exponential finite difference methods for convection-diffusion type problems
Journal of Computational Physics
Finite difference time domain dispersion reduction schemes
Journal of Computational Physics
A new time-space domain high-order finite-difference method for the acoustic wave equation
Journal of Computational Physics
Journal of Computational Physics
A perfectly matched layer for the absorption of electromagnetic waves
Journal of Computational Physics
Hi-index | 31.45 |
High-order finite-difference (FD) methods have been widely used for numerical solution of acoustic wave equations. It has been reported that the modeling accuracy is of 2nd-order when the conventional (2M)th-order space domain FD and the 2nd-order time domain FD stencils are directly used to solve the acoustic wave equation. Under the same discretization, the present version of time-space domain dispersion-relation-based FD method can improve the accuracy from 2nd-order to (2M)th-order along eight directions for the 2D acoustic wave equation. To increase the accuracy further, we propose a new FD stencil for 2D acoustic wave equation modeling. This new time-space domain dispersion-relation-based FD stencil can reach the same arbitrary even-order accuracy along all directions, and is more accurate and more stable than the conventional one for the same M. Dispersion analysis and modeling examples demonstrate its advantages.