Abstract

SUMMARYAn order of magnitude speed-up in finite-element modelling of wave propagation can be achieved by adapting the mesh to the anticipated space-dependent complexity and smoothness of the waves. This can be achieved by designing the mesh not only to respect the local wavelengths, but also the propagation direction of the waves depending on the source location, hence by anisotropic adaptive mesh refinement. Discrete gradients with respect to material properties as needed in full waveform inversion can still be computed exactly, but at greatly reduced computational cost. In order to do this, we explicitly distinguish the discretization of the model space from the discretization of the wavefield and derive the necessary expressions to map the discrete gradient into the model space. While the idea is applicable to any wave propagation problem that retains predictable smoothness in the solution, we highlight the idea of this approach with instructive 2-D examples of forward as well as inverse elastic wave propagation. Furthermore, we apply the method to 3-D global seismic wave simulations and demonstrate how meshes can be constructed that take advantage of high-order mappings from the reference coordinates of the finite elements to physical coordinates. Error level and speed-ups are estimated based on convergence tests with 1-D and 3-D models.

Highlights

  • An order of magnitude speed-up in finite-element modelling of wave propagation can be achieved by adapting the mesh to the anticipated space-dependent complexity and smoothness of the waves

  • Numerical simulations of wave propagation using finite-element methods are nowadays a standard tool in seismology, but despite the ever growing computational power they still remain computationally challenging, and the full bandwidth observed in the field can hardly be modelled with the biggest supercomputers available [e.g. 1, 2]

  • This has been the motivation for a variety of approaches to speed up the calculations including, for example, advanced code optimization [3], usage of GPU accelerators [4, 5], improved time integrators [6, 7] as well as physical approximation using 1D models [8] or coarse grained any finite-element method and the complexity of the numerical scheme in AxiSEM3D is traded for additional complexity in meshing

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Summary

Introduction

An order of magnitude speed-up in finite-element modelling of wave propagation can be achieved by adapting the mesh to the anticipated space-dependent complexity and smoothness of the waves.

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