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Update spiegelman newton benchmark
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MFraters authored Nov 28, 2024
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# Newton Solver Benchmark Set - Spiegelman et at. (2016)

The files in [this directory](https://github.com/geodynamics/aspect/tree/main/benchmarks/newton_solver_benchmark_set/spiegelman_et_al_2016)
can be used to recreate the Spiegelman et al. (2016) flow figures from
{cite:t}`fraters:etal:2019`. Adjust both the `metabash.sh` and `bash.sh` files to
reflect the parameter search you are interested in and run the metabash script.
If you have run exactly the same runs as shown in the paper, you can use the
`cp_P-minLT-res-it-vel_BV.sh` script to recreate the figures in that paper.
This script requires that the drucker prager compositions plugin is installed.
It should be possible to replicate the same behavior with the visco plastic
plugin.
can be used to recreate the figures from
{cite:t}`fraters:etal:2019` reproducing the {cite:t}`spiegelman:etal:2016` benchmark.
`input.prm` is the setup of one of the benchmark
models and `run.sh` will execute a series of model runs. Before you can execute
the benchmark you will have to compile the plugin `drucker_prager_compositions.cc` in
the same directory, the process of compiling plugins is described in [](sec:benchmark-run).
After you have executed `run.sh`, you can use the gnuplot plotting script
`plot.gnuplot` to recreate Fig. 4 of {cite:t}`fraters:etal:2019`.

```{figure-md} fig:benchmark-newton-spiegelman-2016
<img src="doc/figure_4.png" />
Convergence history of several models of the Spiegelman et al. benchmark: a reproduction of three of the nine pressure dependent Drucker–Prager cases with a resolution of 64 × 16 cells. Top: results for computations where linear systems are solved with a maximum relative tolerance of 0.9. Bottom: The same models solved with a tolerance of $10^{-8}$. The initial Picard iteration is always solved to a linear tolerance of $10^{-14}$. Left to right: different prescribed velocities of u0 = 2.5, 5, and 12.5 cm\yr, and different background reference viscosities of respectively $\eta_{ref}$ = $10^{23}$, $10^{24}$ and $10^{25}$ Pa s. Horizontal axis: number of the non-linear (outer) iteration; and vertical axis: non-linear residual. "DC Picard" refers to a defect correction Picard iteration, see the paper describing this solver.
```

The nonlinear convergence behavior of ASPECT's different nonlinear solvers is shown in {numref}`fig:benchmark-newton-spiegelman-2016`.

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