From a21ccd73e793f01c15ac26bd636a74144c3c4e4e Mon Sep 17 00:00:00 2001 From: Guido Kanschat Date: Tue, 4 Dec 2012 17:42:19 +0000 Subject: [PATCH] remove large output files from several steps git-svn-id: https://svn.dealii.org/trunk@27755 0785d39b-7218-0410-832d-ea1e28bc413d --- deal.II/examples/step-24/doc/results.dox | 22 +++++++++++----------- deal.II/examples/step-25/doc/results.dox | 10 +++++----- deal.II/examples/step-33/doc/results.dox | 4 ++-- 3 files changed, 18 insertions(+), 18 deletions(-) diff --git a/deal.II/examples/step-24/doc/results.dox b/deal.II/examples/step-24/doc/results.dox index ad2a9bba84..d3139965bc 100644 --- a/deal.II/examples/step-24/doc/results.dox +++ b/deal.II/examples/step-24/doc/results.dox @@ -16,7 +16,7 @@ This movie shows the thermoacoustic waves generated by a single small absorber propagating in the medium (in our simulation, we assume the medium is mineral oil, which has a acoustic speed of 1.437 $\frac{mm}{\mu s}$): -@image html step-24.one_movie.gif + For a single absorber, we of course have to change the InitialValuesP class accordingly. @@ -30,7 +30,7 @@ microseconds running from left to right) using the source setup used in the program, to make things a bit more interesting compared to the present case of only a single source: -@image html step-24.traces.png + One thing that can be seen, for example, is that the arrival of the second and fourth signals shifts to earlier times for greater detector numbers (i.e. the @@ -49,10 +49,10 @@ weaker absorbing tissue:
-@image html step-24.one.png + -@image html step-24.one_s.png +
@@ -70,13 +70,13 @@ through the detector will therefore be filtered. By using a high-pass filter the simulated results can be made to look closer to the experimental data: -@image html step-24.one_sf.png + In our simulations, we see spurious signals behind the main wave that result from numerical artifacts. This problem can be alleviated by using finer mesh, resulting in the following plot: -@image html step-24.one_s2.png + @@ -87,17 +87,17 @@ multiple absorbers. This corresponds to the case that is actually implemented in the program. The following movie shows the propagation of the generated thermoacoustic waves in the medium by multiple absorbers: -@image html step-24.multi_movie.gif + Experimental data and our simulated data are compared in the following two figures:
-@image html step-24.multi.png + -@image html step-24.multi_s.png +
@@ -117,10 +117,10 @@ choosing a finer mesh (right):
-@image html step-24.multi_sf.png + -@image html step-24.multi_s2.png +
diff --git a/deal.II/examples/step-25/doc/results.dox b/deal.II/examples/step-25/doc/results.dox index e7e332e453..f8e8bdffb2 100644 --- a/deal.II/examples/step-25/doc/results.dox +++ b/deal.II/examples/step-25/doc/results.dox @@ -15,7 +15,7 @@ u_{\mathrm{breather}}(x,t) = -4\arctan \left(\frac{m}{\sqrt{1-m^2}} \frac{\sin\l \f] where $c_1$, $c_2$ and $m<1$ are constants. In the simulation below, we have chosen $c_1=0$, $c_2=0$, $m=0.5$. Moreover, it is know that the period of oscillation of the breather is $2\pi\sqrt{1-m^2}$, hence we have chosen $t_0=-5.4414$ and $t_f=2.7207$ so that we can observe three oscillations of the solution. Then, taking $u_0(x) = u_{\mathrm{breather}}(x,t_0)$, $\theta=0$ and $k=h/10$, the program computed the following solution. -@image html step-25.1d-breather.gif "Animation of the 1D stationary breather." width=5cm +Animation of the 1D stationary breather. Though not shown how to do this in the program, another way to visualize the (1+1)-d solution is to use output generated by the DataOutStack class; it @@ -24,7 +24,7 @@ allows to "stack" the solutions of individual time steps, so that we get solutions. This produces the space-time plot below instead of the animation above. -@image html step-25.1d-breather_stp.png "A space-time plot of the 1D stationary breather." width=5cm +A space-time plot of the 1D stationary breather. Furthermore, since the breather is an analytical solution of the sine-Gordon equation, we can use it to validate our code, although we have to assume that @@ -57,7 +57,7 @@ domain occur. The simulation shown below was performed with $u_0(x) = u_{\mathrm{kink}}(x,t_0)$, $\theta=\frac{1}{2}$, $k=20h$, $t_0=1$ and $t_f=500$. The $L^2$ norm of the error of the finite element solution at each time step remained on the order of $10^{-2}$, showing that the program is working correctly in 2D, as well as 1D. Unfortunately, the solution is not very interesting, nonetheless we have included a snapshot of it below for completeness. -@image html step-25.2d-kink.png "Stationary 2D kink." width=5cm +Stationary 2D kink. Now that we have validated the code in 1D and 2D, we move to a problem where the analytical solution is unknown. @@ -73,7 +73,7 @@ and not the equation, thus picking a value of $\theta$ a good bit into the "exponentially damped" spectrum of the time stepping schemes assures these oscillations are not created. -@image html step-25.2d-angled_kink.gif "Animation of a moving 2D kink, at 45 degrees to the axes of the grid, showing boundary effects." width=5cm +Animation of a moving 2D kink, at 45 degrees to the axes of the grid, showing boundary effects. Another interesting solution to the sine-Gordon equation (which cannot be obtained analytically) can be produced by using two 1D breathers to construct @@ -94,7 +94,7 @@ $k=10h$, $t_0=-5.4414$ and $t_f=2.7207$. The solution is pretty interesting --- it acts like a breather (as far as the pictures are concerned); however, it appears to break up and reassemble, rather than just oscillate. -@image html step-25.2d-pseudobreather.gif "Animation of a 2D pseudobreather." width=5cm +Animation of a 2D pseudobreather. diff --git a/deal.II/examples/step-33/doc/results.dox b/deal.II/examples/step-33/doc/results.dox index 430e1a2423..414e8e063e 100644 --- a/deal.II/examples/step-33/doc/results.dox +++ b/deal.II/examples/step-33/doc/results.dox @@ -141,7 +141,7 @@ The result of running these computations is a bunch of output files that we can pass to our visualization program of choice. When we collate them into a movie, the results looks like this: -@image html step-33.slide.gif + As we see, the heavy mass of fluid is drawn down the slope by gravity, where it collides with the ski lodge and is flung into the air! Hopefully everyone @@ -149,7 +149,7 @@ escapes! We can also visualize the evolution of the adaptively refined grid: -@image html step-33.slide_adapt.gif + The adaptivity follows and precedes the flow pattern, based on the heuristic refinement scheme discussed above. -- 2.39.5