{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Sandia 34-Meter Vertical Axis Wind Turbine\n",
    "\n",
    "In this example, we examine the stability characteristics of the Sandia 34-Meter Vertical\n",
    "Axis Wind Turbine (VAWT).  Geometry for this VAWT is described in\n",
    "[SAND-91-2228](https://energy.sandia.gov/wp-content/gallery/uploads/SAND-91-2228.pdf)\n",
    "and shown in the figure.  Sectional properties for this VAWT are derived from properties\n",
    "listed in [SAND-88-1807](https://energy.sandia.gov/wp-content/gallery/uploads/SAND-88-1807.pdf)\n",
    "\n",
    "The original authors of this example requested that the following citation accompany it.\n",
    "\n",
    "Moore, K. and Ennis, B., “Aeroelastic Validation of the Offshore Wind Energy Simulator\n",
    "for Vertical-Axis Wind Turbines”, forthcoming 2022\n",
    "\n",
    "![](../assets/vawt-drawing.png)"
   ],
   "metadata": {}
  },
  {
   "outputs": [],
   "cell_type": "code",
   "source": [
    "using GXBeam, LinearAlgebra, FLOWMath\n",
    "\n",
    "# --- Tower Definition --- #\n",
    "\n",
    "tower_height = 41.9\n",
    "tower_stiffness = Diagonal([8.4404e9, 2.7053e9, 2.7053e9, 7.0428e9, 9.4072e9, 9.4072e9])\n",
    "tower_mass = Diagonal([330.755, 330.755, 330.755, 737.282, 368.641, 368.641])\n",
    "\n",
    "# --- Blade Definition --- #\n",
    "\n",
    "# geometry\n",
    "blade_xyz = [\n",
    "     0.0        0.0   0.0;\n",
    "     2.26837    0.0   1.257;\n",
    "     3.63183    0.0   2.095;\n",
    "     6.76113    0.0   4.19;\n",
    "     9.55882    0.0   6.285;\n",
    "    11.8976     0.0   8.38;\n",
    "    13.7306     0.0  10.475;\n",
    "    15.1409     0.0  12.57;\n",
    "    16.1228     0.0  14.665;\n",
    "    16.7334     0.0  16.76;\n",
    "    17.0133     0.0  18.855;\n",
    "    17.0987     0.0  20.95;\n",
    "    16.9615     0.0  23.045;\n",
    "    16.5139     0.0  25.14;\n",
    "    15.7435     0.0  27.235;\n",
    "    14.5458     0.0  29.33;\n",
    "    12.9287     0.0  31.425;\n",
    "    10.8901     0.0  33.52;\n",
    "     8.547      0.0  35.615;\n",
    "     5.93739    0.0  37.71;\n",
    "     3.05842    0.0  39.805;\n",
    "     1.87486    0.0  40.643;\n",
    "     0.0        0.0  41.9\n",
    "]\n",
    "\n",
    "# section boundaries (z-coordinate)\n",
    "blade_transition = [0.0, 5.8, 11.1, 29.0, 34.7, 41.9]\n",
    "\n",
    "# root section properties\n",
    "\n",
    "blade_stiffness1 = [\n",
    "    3.74563e9  0.0        0.0        0.0        0.0        1.14382e8;\n",
    "    0.0        1.20052e9  0.0        0.0        0.0        0.0;\n",
    "    0.0        0.0        1.20052e9  0.0        0.0        0.0;\n",
    "    0.0        0.0        0.0        1.87992e7  0.0        0.0;\n",
    "    0.0        0.0        0.0        0.0        2.24336e7  0.0;\n",
    "    1.14382e8  0.0        0.0        0.0        0.0        4.09242e8;\n",
    "]\n",
    "\n",
    "blade_mass1 = [\n",
    "    146.781     0.0       0.0      0.0     28.7783     0.0;\n",
    "      0.0     146.781     0.0    -28.7783   0.0        0.0;\n",
    "      0.0       0.0     146.781    0.0      0.0        0.0;\n",
    "      0.0     -28.7783    0.0     16.7793   0.0        0.0;\n",
    "     28.7783    0.0       0.0      0.0      0.879112  -0.0;\n",
    "      0.0       0.0       0.0      0.0     -0.0       15.9002;\n",
    "]\n",
    "\n",
    "# transition section properties\n",
    "\n",
    "blade_stiffness2 = [\n",
    "    2.22783e9  0.0        0.0        0.0        0.0        4.20422e7;\n",
    "    0.0        7.14048e8  0.0        0.0        0.0        0.0;\n",
    "    0.0        0.0        7.14048e8  0.0        0.0        0.0;\n",
    "    0.0        0.0        0.0        6.55493e6  0.0        0.0;\n",
    "    0.0        0.0        0.0        0.0        7.35548e6  0.0;\n",
    "    4.20422e7  0.0        0.0        0.0        0.0        1.84227e8;\n",
    "]\n",
    "\n",
    "blade_mass2 = [\n",
    "    87.3025    0.0      0.0       0.0      16.7316     0.0;\n",
    "     0.0      87.3025   0.0     -16.7316    0.0        0.0;\n",
    "     0.0       0.0     87.3025   -0.0       0.0        0.0;\n",
    "     0.0     -16.7316  -0.0       7.47649   0.0        0.0;\n",
    "    16.7316    0.0      0.0       0.0       0.288241  -0.0;\n",
    "     0.0       0.0      0.0       0.0      -0.0        7.18825;\n",
    "]\n",
    "\n",
    "# center section properties\n",
    "\n",
    "blade_stiffness3 = [\n",
    "    1.76888e9  0.0        0.0        0.0        0.0        2.34071e7;\n",
    "    0.0        5.66947e8  0.0        0.0        0.0        0.0;\n",
    "    0.0        0.0        5.66947e8  0.0        0.0        0.0;\n",
    "    0.0        0.0        0.0        4.00804e6  0.0        0.0;\n",
    "    0.0        0.0        0.0        0.0        4.34302e6  0.0;\n",
    "    2.34071e7  0.0        0.0        0.0        0.0        1.09341e8;\n",
    "]\n",
    "\n",
    "blade_mass3 = [\n",
    "    69.3173    0.0      0.0       0.0      11.5831     0.0;\n",
    "     0.0      69.3173   0.0     -11.5831    0.0        0.0;\n",
    "     0.0       0.0     69.3173   -0.0       0.0        0.0;\n",
    "     0.0     -11.5831  -0.0       4.44282   0.0        0.0;\n",
    "    11.5831    0.0      0.0       0.0       0.170191  -0.0;\n",
    "     0.0       0.0      0.0       0.0      -0.0        4.27263;\n",
    "]\n",
    "\n",
    "# --- Strut Definition --- #\n",
    "\n",
    "strut_locations = [1.257, 40.643]\n",
    "strut_stiffness = blade_stiffness1\n",
    "strut_mass = blade_mass1\n",
    "\n",
    "# --- Define Assembly --- #\n",
    "\n",
    "# Tower\n",
    "\n",
    "# number of tower sections\n",
    "nt = 22\n",
    "\n",
    "# tower points\n",
    "x = zeros(nt+1)\n",
    "y = zeros(nt+1)\n",
    "z = vcat(0, range(strut_locations[1], strut_locations[2]; length=nt-1), tower_height)\n",
    "pt_t = [[x[i],y[i],z[i]] for i = 1:nt+1]\n",
    "\n",
    "# tower frame of reference\n",
    "frame_t = fill([0 0 1; 0 1 0; -1 0 0], nt)\n",
    "\n",
    "# tower stiffness\n",
    "stiff_t = fill(tower_stiffness, nt)\n",
    "\n",
    "# tower mass\n",
    "mass_t = fill(tower_mass, nt)\n",
    "\n",
    "# Blades\n",
    "\n",
    "# number of blade sections\n",
    "nbr = 4 # root\n",
    "nbt = 3 # transition\n",
    "nbc = 8 # center\n",
    "nb = 2*nbr + 2*nbt + nbc # total number of blade sections\n",
    "\n",
    "# interpolation parameter coordinates\n",
    "new_z = vcat(0.0,\n",
    "    range(strut_locations[1], 5.8, length=nbr)[1:end-1],\n",
    "    range(5.8, 11.1, length=nbt+1)[1:end-1],\n",
    "    range(11.1, 29.0, length=nbc+1)[1:end-1],\n",
    "    range(29.0, 34.7, length=nbt+1)[1:end-1],\n",
    "    range(34.7, strut_locations[2], length=nbr),\n",
    "    tower_height)\n",
    "\n",
    "# blade points\n",
    "x = FLOWMath.akima(blade_xyz[:,3], blade_xyz[:,1], new_z)\n",
    "y = zero(new_z)\n",
    "z = new_z\n",
    "pt_bl = [[-x[i],y[i],z[i]] for i = 1:nb+1] # left blade\n",
    "pt_br = [[x[i],y[i],z[i]] for i = 1:nb+1] # right blade\n",
    "\n",
    "# left blade frame of reference\n",
    "frame_bl = Vector{Matrix{Float64}}(undef, nb)\n",
    "for i = 1:nb\n",
    "    r = pt_bl[i+1] - pt_bl[i]\n",
    "    n = norm(r)\n",
    "    s = r[3]/n\n",
    "    c = r[1]/n\n",
    "    frame_bl[i] = [c 0 -s; 0 1 0; s 0 c]\n",
    "end\n",
    "\n",
    "# right blade frame of reference\n",
    "frame_br = Vector{Matrix{Float64}}(undef, nb)\n",
    "for i = 1:nb\n",
    "    r = pt_br[i+1] - pt_br[i]\n",
    "    n = norm(r)\n",
    "    s = r[3]/n\n",
    "    c = r[1]/n\n",
    "    frame_br[i] = [c 0 -s; 0 1 0; s 0 c]\n",
    "end\n",
    "\n",
    "# blade stiffness\n",
    "stiff_b = vcat(\n",
    "    fill(blade_stiffness1, nbr),\n",
    "    fill(blade_stiffness2, nbt),\n",
    "    fill(blade_stiffness3, nbc),\n",
    "    fill(blade_stiffness2, nbt),\n",
    "    fill(blade_stiffness1, nbr)\n",
    ")\n",
    "\n",
    "# blade mass\n",
    "mass_b = vcat(\n",
    "    fill(blade_mass1, nbr),\n",
    "    fill(blade_mass2, nbt),\n",
    "    fill(blade_mass3, nbc),\n",
    "    fill(blade_mass2, nbt),\n",
    "    fill(blade_mass1, nbr)\n",
    ")\n",
    "\n",
    "# Struts\n",
    "\n",
    "# number of strut sections per strut\n",
    "ns = 3\n",
    "\n",
    "# lower left strut points\n",
    "x = range(0.0, pt_bl[2][1]; length=ns+1)\n",
    "y = zeros(ns+1)\n",
    "z = fill(strut_locations[1], ns+1)\n",
    "pt_s1 = [[x[i],y[i],z[i]] for i = 1:ns+1]\n",
    "\n",
    "# lower right strut points\n",
    "x = range(0.0, pt_br[2][1]; length=ns+1)\n",
    "y = zeros(ns+1)\n",
    "z = fill(strut_locations[1], ns+1)\n",
    "pt_s2 = [[x[i],y[i],z[i]] for i = 1:ns+1]\n",
    "\n",
    "# upper left strut points\n",
    "x = range(0.0, pt_bl[end-1][1]; length=ns+1)\n",
    "y = zeros(ns+1)\n",
    "z = fill(strut_locations[2], ns+1)\n",
    "pt_s3 = [[x[i],y[i],z[i]] for i = 1:ns+1]\n",
    "\n",
    "# upper right strut points\n",
    "x = range(0.0, pt_br[end-1][1]; length=ns+1)\n",
    "y = zeros(ns+1)\n",
    "z = fill(strut_locations[2], ns+1)\n",
    "pt_s4 = [[x[i],y[i],z[i]] for i = 1:ns+1]\n",
    "\n",
    "# strut frame of reference\n",
    "frame_s = fill([1 0 0; 0 1 0; 0 0 1], ns)\n",
    "\n",
    "# strut stiffness\n",
    "stiff_s = fill(strut_stiffness, ns)\n",
    "\n",
    "# strut mass\n",
    "mass_s = fill(strut_mass, ns)\n",
    "\n",
    "# Combine Tower, Blades, and Struts\n",
    "\n",
    "# combine points\n",
    "points = vcat(pt_t, pt_bl, pt_br, pt_s1, pt_s2, pt_s3, pt_s4)\n",
    "\n",
    "# define element connectivity\n",
    "istart = cumsum([1, nt+1, nb+1, nb+1, ns+1, ns+1, ns+1])\n",
    "istop = cumsum([nt+1, nb+1, nb+1, ns+1, ns+1, ns+1, ns+1])\n",
    "start = vcat([istart[i]:istop[i]-1 for i = 1:length(istart)]...)\n",
    "stop = vcat([istart[i]+1:istop[i] for i = 1:length(istart)]...)\n",
    "\n",
    "# use zero-length elements as joints\n",
    "\n",
    "nj = 12 # number of joints\n",
    "\n",
    "joints = [\n",
    "    istart[1]     istart[2]; # tower - bottom of left blade\n",
    "    istart[1]     istart[3]; # tower - bottom of right blade\n",
    "    istart[1]+1   istart[4]; # tower - lower left strut\n",
    "    istart[1]+1   istart[5]; # tower - lower right strut\n",
    "    istop[1]-1    istart[6]; # tower - upper left strut\n",
    "    istop[1]-1    istart[7]; # tower - upper right strut\n",
    "    istop[2]      istop[1]; # top of left blade - tower\n",
    "    istop[3]      istop[1]; # top of right blade - tower\n",
    "    istop[4]      istart[2]+1; # lower left strut - left blade\n",
    "    istop[5]      istart[3]+1; # lower right strut - right blade\n",
    "    istop[6]      istop[2]-1; # upper left strut - left blade\n",
    "    istop[7]      istop[3]-1; # upper right strut - right blade\n",
    "]\n",
    "\n",
    "frame_j = fill([1 0 0; 0 1 0; 0 0 1], nj)\n",
    "\n",
    "stiff_j = fill(zeros(6,6), nj) # will be modeled as infinitely stiff\n",
    "\n",
    "mass_j = fill(zeros(6,6), nj)\n",
    "\n",
    "# add joint connectivity\n",
    "start = vcat(start, joints[:,1])\n",
    "stop = vcat(stop, joints[:,2])\n",
    "\n",
    "# combine frames\n",
    "frames = vcat(frame_t, frame_bl, frame_br, frame_s, frame_s, frame_s, frame_s, frame_j)\n",
    "\n",
    "# combine stiffness\n",
    "stiffness = vcat(stiff_t, stiff_b, stiff_b, stiff_s, stiff_s, stiff_s, stiff_s, stiff_j)\n",
    "\n",
    "# combine mass\n",
    "mass = vcat(mass_t, mass_b, mass_b, mass_s, mass_s, mass_s, mass_s, mass_j)\n",
    "\n",
    "# create assembly\n",
    "assembly = Assembly(points, start, stop;\n",
    "    frames=frames,\n",
    "    stiffness=stiffness,\n",
    "    mass=mass)\n",
    "\n",
    "# --- Define Prescribed Conditions --- #\n",
    "\n",
    "# create dictionary of prescribed conditions\n",
    "prescribed_conditions = Dict(\n",
    "    # fixed base\n",
    "    1 => PrescribedConditions(ux=0, uy=0, uz=0, theta_x=0, theta_y=0, theta_z=0),\n",
    "    # fixed top, but free to rotate around z-axis\n",
    "    istop[1] => PrescribedConditions(ux=0, uy=0, uz=0, theta_x=0, theta_y=0),\n",
    ")\n",
    "\n",
    "# --- Perform Analysis --- #\n",
    "\n",
    "# revolutions per minute\n",
    "rpm = 0:1:40\n",
    "\n",
    "# gravity vector\n",
    "gravity = [0, 0, -9.81]\n",
    "\n",
    "# number of modes\n",
    "nmode = 10\n",
    "\n",
    "# number of eigenvalues\n",
    "nev = 2*nmode\n",
    "\n",
    "# initialize system storage\n",
    "system = DynamicSystem(assembly)\n",
    "\n",
    "# storage for results\n",
    "freq = zeros(length(rpm), nmode)\n",
    "\n",
    "# perform an analysis for each rotation rate\n",
    "for (i,rpm) in enumerate(rpm)\n",
    "\n",
    "    global system, Up\n",
    "\n",
    "    # set turbine rotation\n",
    "    angular_velocity = [0, 0, rpm*(2*pi)/60]\n",
    "\n",
    "    # eigenvalues and (right) eigenvectors\n",
    "    system, λ, V, converged = eigenvalue_analysis!(system, assembly;\n",
    "        prescribed_conditions = prescribed_conditions,\n",
    "        angular_velocity = angular_velocity,\n",
    "        gravity = gravity,\n",
    "        nev = nev\n",
    "        )\n",
    "\n",
    "    # check convergence\n",
    "    @assert converged\n",
    "\n",
    "    if i > 1\n",
    "        # construct correlation matrix\n",
    "        C = Up*system.M*V\n",
    "\n",
    "        # correlate eigenmodes\n",
    "        perm, corruption = correlate_eigenmodes(C)\n",
    "\n",
    "        # re-arrange eigenvalues\n",
    "        λ = λ[perm]\n",
    "\n",
    "        # update left eigenvector matrix\n",
    "        Up = left_eigenvectors(system, λ, V)\n",
    "        Up = Up[perm,:]\n",
    "    else\n",
    "        # update left eigenvector matrix\n",
    "        Up = left_eigenvectors(system, λ, V)\n",
    "    end\n",
    "\n",
    "    # save frequencies\n",
    "    freq[i,:] = [imag(λ[k])/(2*pi) for k = 1:2:nev]\n",
    "\n",
    "end"
   ],
   "metadata": {},
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "source": [
    "We can compare the computed mode frequencies with experimental data taken from\n",
    "[SAND-91-2228](https://energy.sandia.gov/wp-content/gallery/uploads/SAND-91-2228.pdf)."
   ],
   "metadata": {}
  },
  {
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "Plot{Plots.PyPlotBackend() n=26}\nCaptured extra kwargs:\n  Series{11}:\n    markerstyle: dot\n",
      "image/png": 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",
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   "source": [
    "using Plots\n",
    "pyplot()\n",
    "\n",
    "\n",
    "# Experimental Data\n",
    "SNL34_flap = [\n",
    "    -0.11236  3.4778;\n",
    "    20.1124   4.08516;\n",
    "    20.1124   3.92961;\n",
    "    20.1124   3.72961;\n",
    "    20.2247   2.47403;\n",
    "    24.1573   2.4733;\n",
    "    28.2022   2.57256;\n",
    "    30.2247   2.5944;\n",
    "    31.9101   2.62742;\n",
    "    33.2584   2.63829;\n",
    "    34.1573   2.70479;\n",
    "    34.2697   2.57143;\n",
    "    34.2697   2.40476;\n",
    "    28.2022   2.46144;\n",
    "    20.1124   2.30739;\n",
    "    10.0      2.23148;\n",
    "    10.0      2.17593;\n",
    "    10.0      2.0537;\n",
    "    39.6629   1.38154;\n",
    "    37.3034   1.31531;\n",
    "    36.0674   1.25999;\n",
    "    36.1798   1.31552;\n",
    "    34.1573   1.24923;\n",
    "    32.0225   1.23851;\n",
    "    30.6742   1.20543;\n",
    "    28.2022   1.18367;\n",
    "    20.2247   1.08514;\n",
    "    20.2247   1.18514;\n",
    "    28.2022   1.27256;\n",
    "    32.0225   1.34963;\n",
    "    34.0449   1.38258;\n",
    "    15.1685   1.13052;\n",
    "    15.1685   1.04164;\n",
    "    10.0      1.03148;\n",
    "     0.0      1.06667;\n",
    "     0.0      2.13333;\n",
    "]\n",
    "\n",
    "SNL34_lead = [\n",
    "     0.0      3.57778;\n",
    "    -0.11236  2.51113;\n",
    "    -0.11236  1.80002;\n",
    "    10.0      1.78704;\n",
    "    15.1685   1.75275;\n",
    "    20.1124   1.67405;\n",
    "    30.2247   1.63885;\n",
    "    32.0225   1.50518;\n",
    "    35.0562   1.54906;\n",
    "    36.0674   1.55999;\n",
    "    39.5506   1.52601;\n",
    "    39.3258   2.04827;\n",
    "    36.9663   2.0376;\n",
    "    35.8427   2.04892;\n",
    "    34.9438   2.0602;\n",
    "    34.0449   2.08258;\n",
    "    32.0225   2.09407;\n",
    "    30.2247   2.10551;\n",
    "    24.4944   2.09546;\n",
    "    30.1124   2.42776;\n",
    "    24.1573   2.29553;\n",
    "    20.1124   2.22961;\n",
    "    20.0      2.37407;\n",
    "    10.0      2.48704;\n",
    "     9.88764  3.55372;\n",
    "    14.9438   3.54168;\n",
    "    10.0      3.86481;\n",
    "    20.1124   3.59628;\n",
    "    24.1573   3.58442;\n",
    "    24.2697   3.85106;\n",
    "    28.0899   3.63924;\n",
    "    30.0      3.66111;\n",
    "    32.0225   3.67185;\n",
    "    33.0337   3.69388;\n",
    "    34.1573   3.67145;\n",
    "    35.1685   3.68238;\n",
    "    35.1685   3.68238;\n",
    "    36.1798   3.6933;\n",
    "    37.0787   3.71536;\n",
    "    34.9438   4.0602;\n",
    "    35.9551   4.16001;\n",
    "]\n",
    "\n",
    "SNL34_1F = [\n",
    "     0.11236  1.06665;\n",
    "     7.19101  1.05422;\n",
    "    14.1573   1.05293;\n",
    "    20.2247   1.10737;\n",
    "    28.0899   1.18369;\n",
    "    34.1573   1.26034;\n",
    "    37.0787   1.31536;\n",
    "    39.7753   1.39263;\n",
    "]\n",
    "\n",
    "SNL34_1BE = [\n",
    "     0.0      1.81111;\n",
    "     6.85393  1.79873;\n",
    "    14.9438   1.75279;\n",
    "    20.2247   1.67403;\n",
    "    30.0      1.63889;\n",
    "    35.1685   1.57127;\n",
    "]\n",
    "\n",
    "SNL34_2FA = [\n",
    "    -0.11236  2.13335;\n",
    "     7.64045  2.13192;\n",
    "    10.0      2.10926;\n",
    "    19.5506   2.15194;\n",
    "    26.7416   2.38394;\n",
    "    30.5618   2.41656;\n",
    "    34.2697   2.59365;\n",
    "]\n",
    "\n",
    "SNL34_2FS = [\n",
    "    -0.11236  2.13335;\n",
    "    10.1124   2.23146;\n",
    "    15.3933   2.27493;\n",
    "    26.2921   2.52846;\n",
    "    34.1573   2.70479;\n",
    "]\n",
    "\n",
    "SNL34_1TO = [\n",
    "     0.0      2.5;\n",
    "     4.04494  2.49925;\n",
    "     9.77528  2.49819;\n",
    "    16.6292   2.43025;\n",
    "    20.2247   2.39625;\n",
    "    24.382    2.11771;\n",
    "    30.6742   2.09432;\n",
    "    35.0562   2.0824;\n",
    "]\n",
    "\n",
    "SNL34_3F = [\n",
    "    -0.11236  3.58891;\n",
    "     9.88764  3.55372;\n",
    "    15.1685   3.57497;\n",
    "    20.2247   3.59625;\n",
    "    25.5056   3.62861;\n",
    "    30.7865   3.66097;\n",
    "    34.0449   3.6937;\n",
    "    37.191    3.73756;\n",
    "]\n",
    "\n",
    "# Initialize Plot\n",
    "plot(\n",
    "    xlabel=\"Rotor Speed (RPM)\",\n",
    "    ylabel=\"Frequency (Hz)\",\n",
    "    xlim = (0, 40.0),\n",
    "    legend = :topleft,\n",
    "    grid=true)\n",
    "\n",
    "# Add computational results\n",
    "for i=1:1:nmode\n",
    "    plot!(rpm, freq[:,i], color=:red, linestyle=:solid, label=\"\")\n",
    "end\n",
    "\n",
    "# Add experimental results\n",
    "scatter!(SNL34_flap[:,1],SNL34_flap[:,2], color=:black, markerstyle=:dot, label=\"Flatwise\")\n",
    "scatter!(SNL34_lead[:,1],SNL34_lead[:,2], color=:black, markershape=:x, label=\"Lead-Lag\")\n",
    "plot!(SNL34_1F[:,1], SNL34_1F[:,2], color=:black, linestyle=:dash, label=\"\")\n",
    "plot!(SNL34_1BE[:,1], SNL34_1BE[:,2], color=:black, linestyle=:solid, label=\"\")\n",
    "plot!(SNL34_2FA[:,1], SNL34_2FA[:,2], color=:black, linestyle=:solid, label=\"\")\n",
    "plot!(SNL34_2FS[:,1], SNL34_2FS[:,2], color=:black, linestyle=:solid, label=\"\")\n",
    "plot!(SNL34_1TO[:,1], SNL34_1TO[:,2], color=:black, linestyle=:dash, label=\"Tower Mode\")\n",
    "plot!(SNL34_3F[:,1], SNL34_3F[:,2], color=:black, linestyle=:solid, label=\"\")\n",
    "\n",
    "# Add per-revolution lines\n",
    "for i = 1:6\n",
    "    lx = [rpm[1], rpm[end]+10]\n",
    "    ly = [rpm[1], rpm[end]+10].*i./60.0\n",
    "    plot!(lx, ly, color=:black, linestyle=:dash, linewidth=0.5, label=\"\")\n",
    "    annotate!(0.95*lx[2], ly[2]+.05+(i-1)*.01, text(\"$i P\", 10))\n",
    "end\n",
    "\n",
    "# Add legend entries\n",
    "plot!([0], [0], color=:black, label=\"Experimental\")\n",
    "plot!([0], [0], color=:red, label=\"GXBeam\")"
   ],
   "metadata": {},
   "execution_count": 2
  },
  {
   "cell_type": "markdown",
   "source": [
    "As can be seen, there is good agreement between the computational and experimental\n",
    "results."
   ],
   "metadata": {}
  },
  {
   "outputs": [],
   "cell_type": "code",
   "source": [
    "state = AssemblyState(system, assembly; prescribed_conditions=prescribed_conditions)\n",
    "\n",
    "mkpath(\"vawt-simulation\")\n",
    "write_vtk(\"vawt-simulation/vawt-simulation\", assembly, state)"
   ],
   "metadata": {},
   "execution_count": 3
  },
  {
   "cell_type": "markdown",
   "source": [
    "![](../assets/vawt-simulation.gif)"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "---\n",
    "\n",
    "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*"
   ],
   "metadata": {}
  }
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