Skip to main content

finite element method - Numerically solving the Laplace equation in a 2d cylinder


Consider the following Laplace equation and boundary condition $$\begin{equation}\begin{cases} \Delta \theta(r,\phi)=0 \\ \int d \vec{\ell}\cdot\nabla \theta(r,\phi)=2\pi \end{cases} \end{equation}$$ where $\phi\in[0,2\pi)$, $r\in[0,\infty)$ and the integral is over a circular contour of constant $r$ around the origin such that $d\vec{\ell}=rd\phi \hat{\phi}$ with $\hat{\phi}$ a unit vector in direction $\phi$. The solution to this equation is simply $\theta(r,\phi)=\phi$.


I want to learn how to solve this equation numerically in Mathematica and (approximately) recreate the solution in Cartesian coordinates. To this end, I'm taking a cylindrical domain with an annulus to avoid problems at $r=0$. The outer radius is $R_{1}=1$ and the inner radius is $R_{0}=0.1$. The domain looks like this


enter image description here


Following Solve Laplace equation in Cylindrical - Polar Coordinates, I seem to get the correct solution in polar coordinates but not in Cartesian coordinates and I don't understand why.


Any help is appreciated.


In Polar coordinates I get


enter image description here


and in Cartesian coordinates I get


enter image description here



This is the code in polar coordinates


R1 = 1; R0 = 0.1;
regionCyl =
DiscretizeRegion[
RegionDifference[
ImplicitRegion[
0 <= r <= R1 && 0 <= \[Phi] <= 2 \[Pi], {r, \[Phi]}],
ImplicitRegion[
0 <= r <= R0 && 0 <= \[Phi] <= 2 \[Pi], {r, \[Phi]}]],
PrecisionGoal -> 6];

laplacianCil = Laplacian[\[Theta][r, \[Phi]], {r, \[Phi]}, "Polar"];
boundaryConditionCil = {DirichletCondition[\[Theta][
r, \[Phi]] == \[Phi], {r == R0, 0 <= \[Phi] <= 2 \[Pi]}],
DirichletCondition[\[Theta][r, \[Phi]] == \[Phi], {r == R1,
0 <= \[Phi] <= 2 \[Pi]}]};
solCyl = NDSolveValue[{laplacianCil == 0,
boundaryConditionCil}, \[Theta], {r, \[Phi]} \[Element] regionCyl,
MaxSteps -> Infinity];
potentialSquareRepresentation =
ContourPlot[

solCyl[r, \[Phi]], {r, \[Phi]} \[Element] solCyl["ElementMesh"],
ColorFunction -> "Temperature", Contours -> 20,
PlotLegends -> Automatic];
potentialCylindricalRepresentation =
Show[potentialSquareRepresentation /.
GraphicsComplex[array1_, rest___] :>
GraphicsComplex[(#[[1]] {Cos[#[[2]]], Sin[#[[2]]]}) & /@ array1,
rest], PlotRange -> Automatic]

and this is the code in Cartesian coordinates



R1 = 1; R0 = 0.1;
regionCyl =
DiscretizeRegion[
RegionDifference[ImplicitRegion[Sqrt[x^2 + y^2] <= R1, {x, y}],
ImplicitRegion[Sqrt[x^2 + y^2] <= R0, {x, y}]],
PrecisionGoal -> 7];
laplacian = Laplacian[\[Theta][x, y], {x, y}];
boundaryCondition = {DirichletCondition[\[Theta][x, y] ==
ArcSin[y/Sqrt[x^2 + y^2]], {Sqrt[x^2 + y^2] == R0,
0 <= y/Sqrt[x^2 + y^2] <= 2 \[Pi]}],

DirichletCondition[\[Theta][x, y] ==
ArcSin[y/Sqrt[x^2 + y^2]], {Sqrt[x^2 + y^2] == R1,
0 <= y/Sqrt[x^2 + y^2] <= 2 \[Pi]}]};
sol = NDSolveValue[{laplacian == 0,
boundaryCondition}, \[Theta], {x, y} \[Element] regionCyl,
MaxSteps -> Infinity];
DensityPlot[sol[x, y], {x, y} \[Element] regionCyl,
ColorFunction -> "TemperatureMap", PlotLegends -> Automatic,
ImageSize -> Medium]

Answer




In Cartesian coordinates, the solution $\theta $ has a gap on the line $y=0$.To get a solution, you need to make a cut and define a solution on both sides of the cut, for example:


R1 = 1; y0 = 0.01;
regionCyl =
DiscretizeRegion[
RegionDifference[ImplicitRegion[Sqrt[x^2 + y^2] <= R1, {x, y}],
ImplicitRegion[-R1 <= x <= 0 && -y0 <= y <= y0, {x, y}]]];
laplacian = Laplacian[\[Theta][x, y], {x, y}];
boundaryCondition = {DirichletCondition[\[Theta][x, y] ==
ArcTan[x, y], x^2 + y^2 == R1^2],
DirichletCondition[\[Theta][x, y] == Pi, y == y0],

DirichletCondition[\[Theta][x, y] == -Pi, y == -y0]};
sol = NDSolveValue[{laplacian == 0,
boundaryCondition}, \[Theta], {x, y} \[Element] regionCyl,
Method -> {"FiniteElement",
"InterpolationOrder" -> {\[Theta] -> 2},
"MeshOptions" -> {"MaxCellMeasure" -> 0.0001}}];


{DensityPlot[sol[x, y], {x, y} \[Element] regionCyl,
ColorFunction -> "TemperatureMap", PlotLegends -> Automatic,

ImageSize -> Medium],
ContourPlot[sol[x, y], {x, y} \[Element] regionCyl,
ColorFunction -> "TemperatureMap", PlotLegends -> Automatic,
ImageSize -> Medium, Contours -> 20]}

fig1


Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...

list manipulation - Selecting multiple columns from a matrix?

Sample data: data = { {{2013, 1, 1}, 24.13, 167.67, 231.82}, {{2013, 1, 2}, 32.15, 170.92, 225.99}, {{2013, 1, 3}, 35.43, 172.68, 221.67}, {{2013, 1, 4}, 36.73, 173.05, 218.32}, {{2013, 1, 5}, 58.19, 165.96, 197.05}, {{2013, 1, 6}, 69.99, 163.50, 187.52}, {{2013, 1, 7}, 71.37, 154.21, 175.58}, {{2013, 1, 8}, 72.51, 149.66, 163.25}}; I want a DateListPlot with three graphs, so for a matrix formed by columns 1 and 2, one for columns 1 and 3, and 1 for columns 1 and 4. At the moment I'm using this code: data2 = Transpose[{data[[All, 1]], data[[All, 2]]}]; data3 = Transpose[{data[[All, 1]], data[[All, 3]]}]; data4 = Transpose[{data[[All, 1]], data[[All, 4]]}]; DateListPlot[{data2, data3, data4}, Joined -> True, Filling -> {3 -> {1}}] but I have a hunch that this can be done more efficiently. I don't like the Transpose s in particular. Any ideas? edit (for extra credit) What if I need to multiply the second column by 2, which in my solution is simp...