Multiple bodies

Under the hood, the cache uses the concept of a Body (from the RigidBodyTools.jl package) to perform certain calculations, like normal vectors and surface panel areas, which may specialize depending on the type of body shape. Note that most immersed layer operations do not depend on whether there is one or more bodies; rather, they only depend on the discrete points, and their associated normals and areas. However, some post-processing operations, like surface integrals, do depend on distinguishing one body from another. For this reason, the cache stores points in a BodyList, and several operations can exploit this.

using ImmersedLayers
using Plots

For the demonstration, we use the same grid.

Δx = 0.01
Lx = 4.0
xlim = (-Lx/2,Lx/2)
ylim = (-Lx/2,Lx/2)
g = PhysicalGrid(xlim,ylim,Δx)
PhysicalGrid{2}((408, 404), (204, 202), 0.01, ((-2.0300000000000002, 2.0300000000000002), (-2.0100000000000002, 2.0100000000000002)), 4)

We will create a 2 x 2 array of circles, each of radius 0.5, centered at $(1,1)$, $(1,-1)$, $(-1,1)$, $(-1,-1)$.

RadC = 0.5
Δs = 1.4*cellsize(g)
body = Circle(RadC,Δs)
Circular body with 224 points and radius 0.5
   Current position: (0.0,0.0)
   Current angle (rad): 0.0

We set up the body list by pushing copies of the same body onto the list. (We use deepcopy to ensure that these are copies, rather than pointers to the same body.)

bl = BodyList()
push!(bl,deepcopy(body))
push!(bl,deepcopy(body))
push!(bl,deepcopy(body))
push!(bl,deepcopy(body))
4-element Vector{Body}:
 Circular body with 224 points and radius 0.5
   Current position: (0.0,0.0)
   Current angle (rad): 0.0

 Circular body with 224 points and radius 0.5
   Current position: (0.0,0.0)
   Current angle (rad): 0.0

 Circular body with 224 points and radius 0.5
   Current position: (0.0,0.0)
   Current angle (rad): 0.0

 Circular body with 224 points and radius 0.5
   Current position: (0.0,0.0)
   Current angle (rad): 0.0

Now we move them into position. We also use a RigidTransform for each, which we also assemble into a list. (The ! is for convenience, using Julia convention, to remind us that each transform operates in-place on the body.)

t1 = MotionTransform([1.0,1.0],0.0)
t2 = MotionTransform([1.0,-1.0],0.0)
t3 = MotionTransform([-1.0,1.0],0.0)
t4 = MotionTransform([-1.0,-1.0],0.0)
tl = MotionTransformList([t1,t2,t3,t4])

Finally, we apply the transform. We can apply the transform list directly to the body list:

update_body!(bl,tl)
4-element Vector{Ellipse{224}}:
 Circular body with 224 points and radius 0.5
   Current position: (1.0,1.0)
   Current angle (rad): 0.0

 Circular body with 224 points and radius 0.5
   Current position: (1.0,-1.0)
   Current angle (rad): 0.0

 Circular body with 224 points and radius 0.5
   Current position: (-1.0,1.0)
   Current angle (rad): 0.0

 Circular body with 224 points and radius 0.5
   Current position: (-1.0,-1.0)
   Current angle (rad): 0.0

Now we can create the cache, and inspect it by plotting

cache = SurfaceScalarCache(bl,g,scaling=GridScaling)
plot(cache,xlims=(-2,2),ylims=(-2,2))
Example block output

Body-by-body calculations

We can now perform operations on data that exploit the division into distinct bodies. For example, let's compute the integral of $\mathbf{x}\cdot\mathbf{n}$, for body 3. For any of the bodies, this integral should be approximately equal to the area enclosed by the body (or volume in 3-d), multiplied by 2 (or 3 in 3-d). For a circle of radius $1/2$, this area is $\pi/4$, so we expect the result to be nearly $\pi/2$. We use the pointwise_dot operation in CartesianGrids.jl to perform the dot product at each point.

pts = points(cache)
nrm = normals(cache)
V3 = integrate(pointwise_dot(pts,nrm),cache,3)
1.5708993266236526

We can also integrate VectorData over individual bodies, and the result is simply a vector with the integral in each coordinate direction. Let's demonstrate on another geometric integral, this time of $(\mathbf{x}\cdot\mathbf{x})\mathbf{n}$, This integral, when divided by the enclosed area (volume) of the body, is equal to the centroid of the body. Let's demonstrate on body 3, which we expect to be centered at (-1,1)

Xc = integrate(pointwise_dot(pts,pts)∘nrm,cache,3)/V3
2-element Vector{Float64}:
 -0.9999999999999997
  0.9999999999999988

Other operations we can perform body-by-body are dot and norm

Copying data body by body

It is common that we will want to assign values to surface data, one body at a time. For this, we can make use of an extension of the copyto! function. Let's see some examples. Suppose we wish to set the value of a surface scalar u to the $x$ component of the normal vectors for points on body 3, but leave the values zero for all other bodies. Then we just do the following:

u = zeros_surface(cache)
copyto!(u,nrm.u,cache,3)

Let's plot the data to verify this worked

plot(u)
Example block output

We can also plot just the data on body 3 (versus the arclength)

plot(u,cache,bodyid=3,xlabel="arc length")
Example block output

It is also possible to use copyto! to copy a vector of just the right size of the subarray associated with the body.


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