Skip to main content

differential equations - Boundary condition setup for the region defined with basic geometry


I have a region defined like this:



circle = Disk[{4.5, 3}, 0.5];
pin = Rectangle[{4, 0}, {5, 3}];
square = Rectangle[{0, 0}, {9, 9}];
region = RegionDifference[square, RegionUnion[circle, pin]];

Applying RegionPlot[region] gives this:


Region


Now I need to setup boundary conditions for this region the following way:


1) Top, left, right walls: u[x,y] == 0


2) Bottom wall 0 <= x < 4: u[x,y] == 0



3) Bottom wall 5 < x <= 0: u[x,y] == 0


4) Wall at x = 4, for 0 <= y < 3: u[x,y] == 10


5) Wall at x = 5, for 0 <= y < 3: u[x,y] == 10


6) Semicircle with the center at x = 4.5 and y = 3 (radius = 0.5): u[x,y] == 10


These boundary conditions should be applied to a Laplace equation:


sol = NDSolveValue[{D[u[x, y], x, x] + D[u[x, y], y, y] == 0,
bc},
u, {x, y} \[Element] region]

DensityPlot[sol[x, y], {x, y} \[Element] region, Mesh -> None,

ColorFunction -> "Rainbow", PlotRange -> All,
PlotLegends -> Automatic]



Update 1: the result should be something like this:


image2


That is what I received when I ran the code provided by user21 on Mathematica 10.3. I introduced:


mesh = ToElementMesh[DiscretizeRegion[region], MaxCellMeasure -> 0.01];


and in plotting I changed Mesh -> All (for the picture on the left)





Update 2: User21 provided a new part of the code:


DensityPlot[sol[x, y], {x, -10, 10}, {y, -10, 10}, Mesh -> All, 
ColorFunction -> "Rainbow", PlotRange -> All,
PlotLegends -> Automatic, MaxRecursion -> 4]

It gives the same plot as what you can see in User21's answer but only if you use Mathematica of the version newer than 10.3. For the version 10.3 I get an error "InterpolatingFunction::dmval: "Input value {-9.99857,-9.99857} lies outside the range of data in the interpolating function. Extrapolation will be used." And the plot looks like this:


error


It gets a bit better if I switch {x, -10, 10}, {y, -10, 10} to {x, y} \[Element] region but still the plot looks unacceptable:


error2



Answer




How about:


circle = Disk[{4.5, 3}, 0.5];
pin = Rectangle[{4, 0}, {5, 3}];
square = Rectangle[{0, 0}, {9, 9}];
region = RegionDifference[square, RegionUnion[circle, pin]];
bc = {DirichletCondition[u[x, y] == 0,
y == 0 || y == 9 || x == 0 || x == 9],
DirichletCondition[u[x, y] == 10, (4 <= x <= 5) && y <= 4]};
sol = NDSolveValue[{D[u[x, y], x, x] + D[u[x, y], y, y] == 0, bc},
u, {x, y} \[Element] region];


DensityPlot[sol[x, y], {x, y} \[Element] region, Mesh -> None,
ColorFunction -> "Rainbow", PlotRange -> All,
PlotLegends -> Automatic]

enter image description here


If you use a higher MaxRecursion the graphics get smoother:


DensityPlot[sol[x, y], {x, y} \[Element] region, Mesh -> None, 
ColorFunction -> "Rainbow", PlotRange -> All,
PlotLegends -> Automatic, MaxRecursion -> 4]


enter image description here


It gets better when you use:


DensityPlot[sol[x, y], {x, -10, 10}, {y, -10, 10}, Mesh -> All, 
ColorFunction -> "Rainbow", PlotRange -> All,
PlotLegends -> Automatic, MaxRecursion -> 4]

enter image description here


Comments

Popular posts from this blog

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....