Seismic simulations are used for example for geothermal and mining exploration,
and for studying earthquakes. Current seismic simulations usually manually define a
refinement area around the source and the regions of interest. Recently an adaptive
mesh-refinement technique is presented for tsunami simulations. It uses the adjoint
equation to run the simulation in reverse from a point of interest. The result is combined
with a forward simulation to construct the refinement. We adapt this method in this
thesis for elastic wave equations. We primarily use statically adaptive mesh refinement.
The generated refinements follow the paths which the waves take to the receivers. This
results in lower error than manually created refinements for a test scenario which
produces only P-Waves and a scenario which models the geology under Helsinki as a
1d-velocity model. However, the manual refinement is better in a simpler system which
only consists of two different materials.
A prototype for creating dynamically adaptive grid with the same method was also
implemented and tested with promising results.
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Seismic simulations are used for example for geothermal and mining exploration,
and for studying earthquakes. Current seismic simulations usually manually define a
refinement area around the source and the regions of interest. Recently an adaptive
mesh-refinement technique is presented for tsunami simulations. It uses the adjoint
equation to run the simulation in reverse from a point of interest. The result is combined
with a forward simulation to construct the refinement. We adapt this met...
»