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SFR Model ID Weridness
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "q9Vo6HOQUQbS", | |
| "outputId": "020190f0-fec4-4a85-a716-2a98b03b3340" | |
| }, | |
| "source": [ | |
| "# A Sodium Fast Reactor geometry \n", | |
| "This notebook can be used as a template for modeling Sodium fast reactors.\n", | |
| "\n", | |
| "SOURCES:\n", | |
| "A. Facchini, V. Giusti, R. Ciolini, K. Tucek, D. Thomas, E. D'Agata, \"Detailed Neutornics Study of the Power Evolution for the European Sodium Fast Reactor During a Positive Insertion of Reactivity,\" Nuc. Eng. Design 313 1-9 (2017)\n", | |
| "A. Ponomarev, A. Bednarova, K. Mikityuk, \"New Sodium Fast Reactor Neutronics Benchmark,\" PHYSOR 2018" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "id": "EChOeJ7qVUB7", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "%matplotlib inline\n", | |
| "import openmc" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "id": "jlu98MGXV9MP", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Materials definitions\n", | |
| "\n", | |
| "u235 = openmc.Material(name='U235')\n", | |
| "u235.add_nuclide('U235', 1.0)\n", | |
| "u235.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "u238 = openmc.Material(name='U238')\n", | |
| "u238.add_nuclide('U238', 1.0)\n", | |
| "u238.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "pu238 = openmc.Material(name='Pu238')\n", | |
| "pu238.add_nuclide('Pu238', 1.0)\n", | |
| "pu238.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "pu239 = openmc.Material(name='U235')\n", | |
| "pu239.add_nuclide('Pu239', 1.0)\n", | |
| "pu239.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "pu240 = openmc.Material(name='Pu240')\n", | |
| "pu240.add_nuclide('Pu240', 1.0)\n", | |
| "pu240.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "pu241 = openmc.Material(name='Pu241')\n", | |
| "pu241.add_nuclide('Pu241', 1.0)\n", | |
| "pu241.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "pu242 = openmc.Material(name='Pu242')\n", | |
| "pu242.add_nuclide('Pu242', 1.0)\n", | |
| "pu242.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "am241 = openmc.Material(name='Am241')\n", | |
| "am241.add_nuclide('Am241', 1.0)\n", | |
| "am241.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "o16 = openmc.Material(name='O16')\n", | |
| "o16.add_nuclide('O16', 1.0)\n", | |
| "o16.set_density('g/cm3', 10.0)\n", | |
| "\n", | |
| "sodium = openmc.Material(name='Na')\n", | |
| "sodium.add_nuclide('Na23', 1.0)\n", | |
| "sodium.set_density('g/cm3', 0.96)\n", | |
| "\n", | |
| "cu63 = openmc.Material(name='Cu63')\n", | |
| "cu63.set_density('g/cm3', 10.0)\n", | |
| "cu63.add_nuclide('Cu63', 1.0)\n", | |
| "\n", | |
| "Al2O3 = openmc.Material(name='Al2O3')\n", | |
| "Al2O3.set_density('g/cm3', 10.0)\n", | |
| "Al2O3.add_element('O', 3.0)\n", | |
| "Al2O3.add_element('Al', 2.0)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "id": "_ltK5VzGZ8kk", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Material mixtures\n", | |
| "inner = openmc.Material.mix_materials(\n", | |
| " [u235, u238, pu238, pu239, pu240, pu241, pu242, am241, o16],\n", | |
| " [0.0019, 0.7509, 0.0046, 0.0612, 0.0383, 0.0106, 0.0134, 0.001, 0.1181],\n", | |
| " 'wo')\n", | |
| "outer = openmc.Material.mix_materials(\n", | |
| " [u235, u238, pu238, pu239, pu240, pu241, pu242, am241, o16],\n", | |
| " [0.0018, 0.73, 0.0053, 0.0711, 0.0445, 0.0124, 0.0156, 0.0017, 0.1176],\n", | |
| " 'wo')\n", | |
| "clad = openmc.Material.mix_materials(\n", | |
| " [cu63,Al2O3], [0.997,0.003], 'wo')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "id": "A2kNKaErZ7JR", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Instantiate a Materials collection and export to xml\n", | |
| "materials_file = openmc.Materials([inner, outer, sodium, clad])\n", | |
| "materials_file.export_to_xml()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "id": "OrML6oju4spK", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Geometry definitions\n", | |
| "\n", | |
| "fuel_or = openmc.ZCylinder(surface_id=1, r=0.943/2) \n", | |
| "clad_ir = openmc.ZCylinder(surface_id=2, r=0.973/2) \n", | |
| "clad_or = openmc.ZCylinder(surface_id=3, r=1.073/2) \n", | |
| "\n", | |
| "top = openmc.ZPlane(surface_id=4, z0=+50, boundary_type='vacuum')\n", | |
| "bottom = openmc.ZPlane(surface_id=5, z0=-50, boundary_type='vacuum') \n", | |
| "\n", | |
| "fuel_region = -fuel_or & -top & +bottom\n", | |
| "gap_region = +fuel_or & -clad_ir & -top & +bottom\n", | |
| "clad_region = +clad_ir & -clad_or & -top & +bottom\n", | |
| "moderator_region = +clad_or & -top & +bottom\n", | |
| " \n", | |
| "gap_cell = openmc.Cell(cell_id=1, fill=inner, region=gap_region)\n", | |
| "clad_cell = openmc.Cell(cell_id=2, fill=clad, region=clad_region)\n", | |
| "sodium_cell = openmc.Cell(cell_id=3, fill=sodium, region=moderator_region)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "id": "8L0zqqhZfxKh", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "inner_fuel_cell = openmc.Cell(cell_id=4, fill=inner, region=fuel_region)\n", | |
| "inner_u = openmc.Universe(universe_id=1, cells=(inner_fuel_cell, gap_cell, clad_cell, sodium_cell))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "id": "iAHLhKZYh6y5", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "outer_fuel_cell = openmc.Cell(cell_id=5, fill=outer, region=fuel_region)\n", | |
| "\n", | |
| "# reserve the next 10 cell IDs to avoid an ID \n", | |
| "openmc.reserve_ids(range(6, 16), openmc.Cell)\n", | |
| "cloned_cells = [c.clone(clone_materials=False, clone_regions=False) for c in [gap_cell, clad_cell, sodium_cell]]\n", | |
| "outer_u = openmc.Universe(universe_id=2, cells=[outer_fuel_cell]+cloned_cells)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=6.\n", | |
| " warn(msg, IDWarning)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Creating filling for emtpy space in the core\n", | |
| "\n", | |
| "sodium_mod_cell = openmc.Cell(cell_id=6, fill=sodium)\n", | |
| "sodium_mod_u = openmc.Universe(universe_id=3, cells=(sodium_mod_cell,))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": { | |
| "id": "cWTxCkwKRwYj", | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=7.\n", | |
| " warn(msg, IDWarning)\n", | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=8.\n", | |
| " warn(msg, IDWarning)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Define a lattice for inner assemblies\n", | |
| "in_lat = openmc.HexLattice(lattice_id=100, name='inner assembly')\n", | |
| "in_lat.center = (0., 0.)\n", | |
| "in_lat.pitch = (21.08/17,)\n", | |
| "in_lat.orientation = 'x'\n", | |
| "in_lat.outer = sodium_mod_u\n", | |
| "\n", | |
| "# Create rings of fuel universes that will fill the lattice\n", | |
| "inone = [inner_u]*48\n", | |
| "intwo = [inner_u]*42\n", | |
| "inthree = [inner_u]*36\n", | |
| "infour = [inner_u]*30\n", | |
| "infive = [inner_u]*24\n", | |
| "insix = [inner_u]*18\n", | |
| "inseven = [inner_u]*12\n", | |
| "ineight = [inner_u]*6\n", | |
| "innine = [inner_u]*1\n", | |
| "in_lat.universes = [inone,intwo,inthree,infour,infive,insix,inseven,ineight,innine]\n", | |
| "\n", | |
| "# Create the prism that will contain the lattice\n", | |
| "outer_in_surface = openmc.model.hexagonal_prism(edge_length=12.1705, orientation='x')\n", | |
| "\n", | |
| "# Fill a cell with the lattice. This cell is filled with the lattice and contained within the prism.\n", | |
| "main_in_assembly = openmc.Cell(cell_id=7, fill=in_lat, region=outer_in_surface & -top & +bottom)\n", | |
| "\n", | |
| "# Fill a cell with a material that will surround the lattice\n", | |
| "out_in_assembly = openmc.Cell(cell_id=8, fill=sodium, region=~outer_in_surface & -top & +bottom)\n", | |
| "\n", | |
| "# Create a universe that contains both \n", | |
| "main_in_u = openmc.Universe(universe_id=4, cells=[main_in_assembly, out_in_assembly])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.image.AxesImage at 0x7f6a01b26fa0>" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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JjG6YJjfGNe9/3/hGa3omucltYmYZc6P4vC43p06d0sKFC/Xwww/r3nvvrXt/yk15hL3MnfSZar1nvkWbSe7xM4u0RhszyT1+JkXHf16Vm/vuu09r1qzRokWL9M4772jHjh3q7e3Vr371K7W2ttZ9POXGf7beDxDlIn2m3wcRZya5yR02TyI3/ONVubnjjjv08ssv68SJE2ptbdXnP/957dq1SxdffHGkx1Nu/BZ1Iw2qt6nGnRllkzY9k9zRkTubNdqYaSM33GWy3OT+p+D79+/XO++8o+HhYb399tvav39/5GIDxJVkM73/jsM1r1RsY6Zp5I6O3NnNBGzJvdwAYZJsppKdDTVsZtI11kLueMhtTllzwz+UGxRWms202mNtbNBphG3S5E42cyJyF0NWuYEgyg0KycQzMxvPaqPclga5850RRO7at6VRxNzwC+UGiCG4oZZpcyU3uQGXUG4AAIBXKDcAAMArlBsghuD5Ncp0rg1ykxtwCeUGhXRg5q3jTuUel40TfVVbT5o1VkPuZMhtTllzwy+UG5RG2g3VtKw2aHIXA7mB7FBuUFhJN2lbz2arzbRxICF3POQ2p6y54R/KDQovzgZY775JNtR6m6mNmaP3iTOvFnJHR+7sZo7eJ848IIrcL5yZFhfOLIcoZ12Ne2VjKdqViE1eLTnulY3JbW6NErlNzSx6brjJq6uCp0W5KY/gycRGN8LgM7kkG9/EmWnn2ZhJbnKTm7/aKgPKTQDlxh/Bzc3URmZ65sSztZqeSe5izSS3nZlFzY18UW4CKDduq/WyedyXtvOY6cIabcx0YY02ZrqwRhszXVhjmpkoBspNAOXGXVGvXmz6/QBxZsZ5z4IUbVMlt5k12phJ7nLlRrFQbgIoN26KukmNirJZmZ4Zd56NmeQOR+581mhjZh65UTwmyw1/Co7MJdlM77/jcM2rE5uemWSejZnkro7c+a3Rxsysc8N/lBs4I2yzSrpBu4Lc45HbT2XNDTsoN8hU0TaqsA01zRqrPZbcxUDuybenmTmRK7nhP8oNnFJt4zS9mZrYDE1vqOSufVsa5M53RlAWuVEOlBs4J7ihlulZGbnJXQZlzQ2zKDcAAMArlBsAAOAVyg2cMvHcFUmuVOwicp9Fbr+VNTfMo9wAE6TdUF09eRi5kyE3UDyUG2SqaM/EstqgyV0M5LarrLlRPJQbOCNso7KxoSadaWMzJfd45DanrLnhP8oNMpdks6q3mRZhpgtrtDHThTXamOnCGm3MdGGNUWbCb1w4E7mJciXiOFchtjkzytWS816jjZnkDp+Z9xptzCxjbhQHVwUPoNy4r9aJupJuUKZn1juZmOmZ5M53JrmzmVmU3CgGyk0A5abYJm5CJjYeF2a6sEYbM11Yo42ZLqzRxkwX1mhrJsyj3ARQboqp1svHSV42rvdytOmZSV/aJje5ba3RxkxyU3KKhHITQLkplii/Ex8V9ff3ca40bHpm1E2Q3OTOao02ZpKbklMEJssNfy0FY+JsfKP3q/c7/jgbn42Zo/erNZPc5M5yjTZmkrv2TLiHcgOj4mxUo/cP21jibny2Zka5P7mjzyT3eOSOJ4/ccA/lBkYk3aikbDeXNGustqGSO7u1ZPm9yD1eWXPDXZQbFMLEjSXNZipV36yKuHmR+9PPyR0fucO/B8qNcgMjyvDSbrWM5PYXuWvf5psyZCwTyg1SK9MzpmBWcvuP3OXNDbdRbgAAgFcoNwAAwCuUG6SW5Iq9Lpp4AjFy+43cZ5U1N9xGuUEhpd1QXd2oyJ0Mud1S1tzIDuUGuctqoyraM1By20XuYihrbuSLcgMjkm4stR6TZmatzdTkTHLHnxeG3PFnkjve90w6E+6h3MCYuJtVlIvWJZlZb17we5uaSe5o84JrMTWT3NXnBb+3qZllzA03cVVwGBflAntxr8Yb5YymcTYpW2u0MZPc4TPzXqONmeQOn5nnGmGfyauCU25gTa0TYiXdUMJmmp7nykwX1mhjpgtrtDHThTXamFmkNcIeyk0A5SYfEzeNtBtFtU3IhZkurNHGTBfWaGOmC2u0MdOFNdqYSQHKFuUmgHKTnXov9SZ5mbfWzKQvG5ueSW5y25xJbv9yIxnKTQDlJhtxruIb9XfjUWdG3Vyi/J7d1hptzCQ3ucPmSeTOco1xZiI5yk0A5ca+OBvAqHobgemZLqzRxkwX1mhjpgtrtDHThTXamOnCGpGeyXLDn4KjpiQbgHT22VXYm/mSzjTNxhrJbW6maeSejNzmZqJYKDfIVJqNL2xjsTHTNHLHR277M00ra24UD+UGodI+A3N1YyF3MuR2C7mTcTV32VBu4JRqm1IRXgK3jdy1b/MNuWvfBtRDuYFzgs+ayvQMitzkLoOy5oZZlBsAAOAVyg2cE/xTzDL9WSa5yV0GZc0Nsyg3cEq1q/3GuQKwq8hd+zbfkLv2bUA9lBuEOjDz1lQbi6snvCJ3MuR2C7mTcTV32VBukKk0G0vYpmJjpmnkjo/c9meaVtbcKB7KDWpKurHU2lTSPnMyxcYayW1upmnknozc5maiWCg3qCvuRhB1AzA5M8ka6yF39JnkTve9o84kd/R59djKjWLgwpmIrN5VeaNe3XfizFon6Yo7M8qVg+NuUuQmd5o1js4kd/qZruRGMlwVPIByk72wE2ul+Z/f9EwX1mhjpgtrtDHThTXamOnCGm3MdGGNiI9yE0C5Mafa/9xp/8c2PTOrTY3cxZhJbrszyV2cmaDcjEO5Sc/0y7K2Xt4u+kwX1mhjpgtrtDHThTXamOnCGm3M5NdX9lFuAig36cS5Qm6U32WbnufKTBfWaGOmC2u0MdOFNdqY6cIabcy0sUZMZrLc8NdSJRbnf1jp7DOWWheyMz3PlZkurNHGTBfWaGOmC2u0MdOFNdqYaWONsI9yU1Jx/4e1pdZGkHSNNmaaRu7JyJ3/TNPIjbwUotzs2bNHF110kaZPn67Ozk69+uqreS/Ja2k2gLD/aW3MNI3c8ZHb/kzTyB2fy7lRXe7l5nvf+542b96sHTt26Oc//7mWLVumlStX6t133817achR2mdgrm4s5E6G3G4pa25kJ/dys3v3bt19991av369li5dqqefflpNTU367ne/m/fSEKLaplSEl4JtI3ft23xD7tq3+aasuX2Va7k5c+aMXnvtNa1YsWLstilTpmjFihXq6emp+pjh4WENDQ2N+0D2gs+ayvQMitzkLgNylyu3j3ItN7/5zW80MjKiefPmjbt93rx56u/vr/qY7u5utbS0jH0sWLAgi6UCAABH5P5rqbi2bdumwcHBsY9jx47lvaRSCp7HoUzndCA3ucuA3OXK7aNcy82cOXM0depUDQwMjLt9YGBAbW1tVR/T2Nio5ubmcR/IVrUr6ca5uq6ryF37Nt+Qu/Ztvilrbl/lWm6mTZumz372szp48ODYbZ988okOHjyo5cuX57gy5O3AzFtTbSyuniWU3MmQ2y1lzY3s5P5rqc2bN+vv/u7vtG/fPr3++uu65557dPr0aa1fvz7vpXkrzcYStqnYmGkaueMjt/2ZppE7Ppdzo7rcy83tt9+uv/qrv9L27dt15ZVXqre3Vz/+8Y8nvckYZqV95mRKrQ0g6RptzDSN3JORO/+ZppEbeeHCmSXnwgXmXJjpwhptzHRhjTZmurBGGzNdWKONmVw4MxtcFTyAcpPe6Pkcwv7nHX0mFPV/WNPzXJnpwhptzHRhjTZmurBGGzNdWKONmTbWiPEoNwGUG3OqnbQq7f+opmeGnVjL9ExyF2Mmue3OJHdxZoJyMw7lJntZbUBpZrqwRhszXVijjZkurNHGTBfWaGOmC2tEfJSbAMpNdmy9dFzrd9mmXzoenVmEl8zJnX4mucldbWbeuZEM5SaAcpMNG2/Qk6JfmM7Gm/6k+hsWuc2tUSK3qZnkrj9Pyj430jFZbnL/U3AUX5wNQDq7oUW56JzJmUnWWA+5o88kd7rvHXUmuaPPq8dWbhQD5QY1xd0ARtXaCJLONM3GGsltbqZp5J6M3OZmolgoN8hUmo0vbGOxMdM0csdHbvszTStrbhQP5Qah0j4Dc3VjIXcy5HYLuZNxNXfZUG7glGqbUhFeAreN3LVv8w25a98G1EO5gXOCz5rK9AyK3OQug7LmhlmUGwAA4BXKDZwTPNdEmc47QW5yl0FZc8Msyg2cMnpyrnq3+YbctW/zDblr3wbUQ7lBqAMzb021sbh6Rk9yJ0Nut5A7GVdzlw3lBplKs7GEbSo2ZppG7vjIbX+maWXNjeKh3KCmpBtLrU0l7TMnU2yskdzmZppG7snIbW4mioULZyISGxeYizozzkXwpGjnxTC9RhszyU3usHkSubNcY5yZSI6rggdQbrJTb3OJuklFnZlkno2Z5Ca3zZnk9i83kqHcBFBu8jHx5Fpp/8evdrIuF2a6sEYbM11Yo42ZLqzRxkwX1mhjJoUmW5SbAMpNcdU6u2jSTSNspul5rsx0YY02ZrqwRhszXVijjZlFWiPsodwEUG6KJ8rvxuO+1Bvld+Nxfidua402ZpI7fGbea7Qxk9zhM/NcI+yj3ARQbool7hv0pGhvJDT5pr84b0yMM5Pc9edJ5DY1k9zh8ySzuZENk+WGPwWHMXE2KenTzafWS8dJZtabF/zepmaSO9q84FpMzSR39XnB721qZhlzw02UGxgRd5MaVesxaWbW2qxMziR3/HlhyB1/Jrnjfc+kM+Eeyg1yl9XGknQztYXcdpG7GMqaG/mi3KCQ0m5Urj4TI3cy5HZLWXMjO5QbpFaWZ0wTN1Ry+43cZ5U1N9xGuQEAAF6h3AAAAK9QbpBamc4REcxKbv+Ru7y54TbKDYwYPWGXz6plJLe/yF37Nt+UIWOZUG5QCBOfMR2YeWuqzabaWUeL+KyM3J9+Tu74yB3+PVBulBsYkWazyvIZU5o1Vts8yZ3dWrL8XuQer6y54S7KDYyKu7nU2lSSbqimZ0a5P7mjzyT3eOSOJ4/ccA/lBsaMbjhRN4soz5biblamZ0a5+B+5yZ3lGm3MJDev2viGq4LDiloXsEuyodS7IJ7pmUk3PXKT29YabcwkN6WmSExeFZxyA6smnvHTxGbiwkwX1mhjpgtrtDHThTXamOnCGm3NhHmUmwDKjftqnfI86SZkema907KbnknufGeSO5uZRcmNYjBZbs4xtCYgtnovRUvSmpgvH9uaWe/aOmti/LUFucltYo02ZpYxN/zEKzfIRdyL8UV5I2HeM11Yo42ZLqzRxkwX1mhjpgtrjDoTxWLylRv+WgqZS3KV4XpX7C3CTBfWaGOmC2u0MdOFNdqY6cIao8yE3yg3cEbYZpVk46sn6UwbGyq5xyO3OWXNDf9RbpCpom1UWT27I3cxkNuusuZG8VBugAnSbtCubqjkTobcQPFQbuCUiRtq0Z4p2kLus8jtt7LmhnmUGwAA4BXKDQAA8ArlBs4JnruiTOexIDe5y6CsuWEW5QZOqXa13zhXFY7CxIZqelMmd+3b0iB3vjOCssiNcqDcIFMHZt5aqM0q7CymadZY7bHkLgZyT749zcyJXMkN/1Fu4IywjapoG6pp5B6P3H4qa27YQblB5pJsVvWegZmemXRDNT2T3NWRO7812piZdW74jwtnIjdRz2ERZ5MyPTPKVYhH50nR3oNAbjNrtDGT3OXKjWIxeeFMyg1yVWtTjbOR5jXThTXamOnCGm3MdGGNNma6sMY0M1EMlJsAyo0/gmcmNbU5mZ458XTzpmeSu1gzyW1nZlFzI1+UmwDKTXkEN7LRZ23B38Mn2dwmzkw7z8ZMcpOb3JSXMqDcBFBuyiHK79rj/u5eivYeA5PvB4j7sjm5za1RIrepmUXPDTdRbgIoN36LujmPirKpxr0YX5RN1fRMcpO73jyJ3PCLyXLDn4Kj8OJspvXum+QqwxOvVJzFzNH7xJlXC7mjI3d2M0fvE2ceEAXlBoWVZDOVom2opmYmXWMt5I6H3OaUNTf8Q7lBadjYoNPIapMmdzGQG8gO5QaFlHaDtvWsNsptaZA7GXKbU9bc8AvlBoghuKGWaXMlN7kBl1BuAACAVyg3AADAK5QbIIbg+TXKdK4NcpMbcAnlBoVkYkM1vSkHTwVf67Y0yJ3vjCBy174tjSLmhl8oNyisNBtqtccemHmr8U06jbCzt5I72cyJyF0MWeUGgig3KKykm7SNa9CEzbRxICF3POQ2p6y54R/KDUolyYZabzO1MdM0ckdH7uxmArZw4UwUXpwrG0vRfhcf9SRipq+WHGcmuckdNk8iN/zjzVXBL7roIv3P//zPuNu6u7u1devWyDMoN+URtgkm3fSCJycLzgw+Oy3STHKPn1mkNdqYSe7xMyk1/vOq3Nx11126++67x26bOXOmZsyYEXkG5aacRjdCkxvemve/b3wDNT2T3OQ2MbOMuVF8XpWbjRs3auPGjYlnUG4wUb1nlUk2zGoz0zxLDc7M6tk0udPNJHcxcsNfXpWbDz/8UB999JEWLlyoP/7jP9amTZt0zjnnRJ5BuUFQlPcDxH3PgmT+fRBRZ5p8HwS5yW1ijTZmUnAgeVRudu/erauvvlqzZ8/WK6+8om3btmn9+vXavXt36GOGh4c1PDw89vnQ0JAWLFhAuUHsKw3X21Sjbs7BeVLtjd/0Gm3MJDe5682Tss8N/5ksN8b/FHzr1q1qaGio+fHGG29IkjZv3qzrrrtOV1xxhb7yla/or//6r/Wtb31rXHmZqLu7Wy0tLWMfCxYsMB0BDoq7mUpnN/N6VzyOM7PefW2skdzmZo7eJ868WsgdXZQ1AnEYLzdbtmzR66+/XvOjo6Oj6mM7Ozv18ccf66233gqdv23bNg0ODo59HDt2zHQEOCbJZmprpo1NOmwmuc0hdzxZ5gaSMF5uWltbdemll9b8mDZtWtXH9vb2asqUKZo7d27o/MbGRjU3N4/7AJIK21DTHESqPdbGgSkNck++Pc3MicgN5Cu3MxT39PToqaee0n/+53/q17/+tf7xH/9RmzZt0pe//GXNmjUrr2XBQTaezRZhRlC1jOQ2g9z5zgiiGMGU3MpNY2Oj9u/frz/8wz/UZZddpl27dmnTpk3627/927yWBAeV6WXsYFZy+4/cQHLR/+basKuvvlo//elP8/r2AADAU1w4EwAAeIVyA6eV6dwYwazk9h+5geQoN3Be8FTuJpjYXE1v0NUyktsMcuc7I8h0RpQX5QalFnZm1DSbbLXHHph5a6E2bnJPvj3NzInIDeSLcgPn2dhQk860cRr5sJnkNofc8WSZG0iCcgMvJNmko2ymcWbWu6+NNZLb3MzR+8SZVwu5o6PYwLRcL5xpAlcFR1BZr5ZM7uzXaGMmuVFm3lwV3ATKDSYKngQsuLHG2ZijzAw+O00zs9oak8wkN7mDM33NDX9RbgIoNzBldBM2tdmanufKTBfWaGOmC2u0MdPGGlFOlJsAyg2SCnvmKyV/9hv2UryJZ+im12hjJrnHz7Mx09fcAOUmgHKDJKJevdj0+yDizLT1Pghyp1+jjZllzQ2MotwEUG4QV9TNeVSUTdr0zLjzbMwkdzhym5sJjDJZbvhTcJRKkoPI/XccrnmlYhszTSN3dOTObiZgC+UGiCBsk06y4deTdKaNAwm5xyM34AbKDUqjaBt02IEkzRqrPZbcxUBuIDuUGyCiagcMG8/iizAjiNy1b0ujrLkB2yg3QAzBA0mZno2Sm9yASyg3AADAK5QbAADgFcoNENHEc3Ykufqxi8h9FrkBd1BugAJJeyBx9aRp5E7G1dyAbZQblEbRnoFmdWAidzGQG8gO5QaIIGyDtnEgSTrTxkGE3OORG3AD5QalkmSTrncQsTFz9D5x5tVC7ujInd1MwBYunIlSinMFZpNXS45zRec4M+PMk8htaia5w+dJ0XMDElcFH4dygzRqnaAs6cZsema9k6iZnknufGeWNTdAuQmg3CBLEzd0E5t4cKapg4LpmeS2M7NMuYF6KDcBlBtkIezl/aQvv9f6dYELM11Yo42ZLqzRxkx+zYQsUG4CKDewKc57FqRom3/Uqzabfh9EnJnkJnfYPImSAzsoNwGUG9gS9QASVO9gEndmlIOT6Znkjo7cgDkmyw1/Cg5UkWTDl84+8w17o2WSmbXm2ZhJ7njIDRQT5QbISJKDyOjjqh1Ikh6Y0qwly+9F7vFcyQ0UAeUGqCLNwaDaY4v4LLfamsgdH7mB4qHcABOYODCZPrhVO5CYPriQO98ZQWXNDZhCuQEcETyQlOmgQu5y5QZMoNwAAACvUG4AAIBXKDeAAyaeVyTJFZpdRO6zypIbMIVyA0yQ9kDi6gnOyJ0MuYHiodwAGSjaM++sDkzkLgaKCMqGcgNUkfTgZOMgEjbTxgGU3PGQGygmyg0QIu7GX2/DT3IgcWGmC2u0MdOFNdqYSbGBC7hwJlBHlNPex72is1T7pGxxr75saya5w2fmvUYbM03mBuLiquABlBtkod5J1JJs+LVmJj2AmJ5J7mxm+pwbiIpyE0C5QRFNPEiYOCi4MNOFNdqY6cIabc0ETKHcBFBuUCS1fl0Q99cE9ebZmJlkno2Z5C52bsAGyk0A5QZFEOU9EKOivm8hynsgbM2MetAjd7lyAzaZLDf8tRSQUpwD3ej96r23Ic6BzsbM0fvVmknucuUGXEK5AQyIc2AavX/YgSTugc7WzCj3J3f0mT7kBlxBuQFSSHpgkrI9mKRZY7UDKLmzW0uW3yvKK0KACyg3QI4mHkjSHDyl6genIh6syP3p52XIDWSNcgOkUIaX8qtlJLe/ypAR/qPcAAmV6RlyMCu5/VemrPAT5QYAAHiFcgMAALxCuQESSnKFZhdNPGEcuf3GxTHhA8oNUCBpD6CuHpjInYyruQHbKDdACmkOLFkdmNIeQKutkdzxuZwbcA3lBkgpyYGk1mOSHpzqHTxNr5PcZua5khtwCeUGSCnuwSnKRQqTzKw3L/i9Tc0kd7R5wbWYmpl1bsAlXBUcMCTKBRXjHkDqzUxyNed6Z8WNO5Pc5coN2GLyquCUG8CwWidAS3oACZtpep4rM11Yo42ZRVojYBrlJoByAwCA+0yWG95zAwAAvEK5AQAAXqHcAAAAr1BuAACAVyg3AADAK5QbAADgFcoNAADwCuUGAAB4hXIDAAC8QrkBAABesVZudu3apWuvvVZNTU264IILqt6nr69Pq1evVlNTk+bOnav7779fH3/8sa0lAQCAEjjH1uAzZ87otttu0/Lly/Wd73xn0tdHRka0evVqtbW16ZVXXtHx48f1J3/yJzr33HP1+OOP21oWAADwnLVXbnbu3KlNmzbp8ssvr/r1559/Xr/61a/0D//wD7ryyivV1dWlRx99VHv27NGZM2dsLQsAAHgut/fc9PT06PLLL9e8efPGblu5cqWGhob0y1/+MvRxw8PDGhoaGvcBAAAwKrdy09/fP67YSBr7vL+/P/Rx3d3damlpGftYsGCB1XUCAAC3xCo3W7duVUNDQ82PN954w9ZaJUnbtm3T4ODg2MexY8esfj8AAOCWWG8o3rJli9atW1fzPh0dHZFmtbW16dVXXx1328DAwNjXwjQ2NqqxsTHS9wAAAOUTq9y0traqtbXVyDdevny5du3apXfffVdz586VJL3wwgtqbm7W0qVLjXwPAABQPtb+FLyvr0/vvfee+vr6NDIyot7eXknSkiVLdP755+umm27S0qVLdeedd+qJJ55Qf3+/HnzwQW3YsIFXZgAAQGLWys327du1b9++sc+vuuoqSdKLL76o6667TlOnTtW//uu/6p577tHy5cs1Y8YMrV27Vo888oitJQEAgBJoqFQqlbwXkcbQ0JBaWlr0z/92s5pmnJv3cgAAQAIfnP5It63+Fw0ODqq5uTnVLK4tBQAAvEK5AQAAXqHcAAAAr1BuAACAVyg3AADAK5QbAADgFcoNAADwCuUGAAB4hXIDAAC8QrkBAABeodwAAACvUG4AAIBXKDcAAMArlBsAAOAVyg0AAPAK5QYAAHiFcgMAALxCuQEAAF6h3AAAAK9QbgAAgFcoNwAAwCuUGwAA4BXKDQAA8ArlBgAAeIVyAwAAvEK5AQAAXqHcAAAAr1BuAACAVyg3AADAK5QbAADgFcoNAADwCuUGAAB4hXIDAAC8QrkBAABeodwAAACvUG4AAIBXKDcAAMArlBsAAOAVyg0AAPAK5QYAAHiFcgMAALxCuQEAAF6h3AAAAK9QbgAAgFcoNwAAwCuUGwAA4BXKDQAA8ArlBgAAeIVyAwAAvEK5AQAAXqHcAAAAr1BuAACAVyg3AADAK5QbAADgFcoNAADwCuUGAAB4hXIDAAC8QrkBAABeodwAAACvUG4AAIBXKDcAAMArlBsAAOAVyg0AAPAK5QYAAHiFcgMAALxCuQEAAF6h3AAAAK9QbgAAgFcoNwAAwCuUGwAA4BXKDQAA8ArlBgAAeMVaudm1a5euvfZaNTU16YILLqh6n4aGhkkf+/fvt7UkAABQAufYGnzmzBnddtttWr58ub7zne+E3u+ZZ57RqlWrxj4PK0IAAABRWCs3O3fulCTt3bu35v0uuOACtbW12VoGAAAoGWvlJqoNGzboT//0T9XR0aGvfOUrWr9+vRoaGkLvPzw8rOHh4bHPBwcHJUkffPCR9bUCAAA7Ro/jlUol9axcy80jjzyiG264QU1NTXr++ef11a9+VadOndK9994b+pju7u6xV4WC1t72Q5tLBQAAGThx4oRaWlpSzWioxKhIW7du1Te+8Y2a93n99dd16aWXjn2+d+9ebdy4USdPnqw7f/v27XrmmWd07Nix0PtMfOXm5MmTWrRokfr6+lL/MMpuaGhICxYs0LFjx9Tc3Jz3cpzHz9Mcfpbm8LM0i5+nOYODg1q4cKH+7//+L/X7b2O9crNlyxatW7eu5n06OjoSL6azs1OPPvqohoeH1djYWPU+jY2NVb/W0tLCPyxDmpub+VkaxM/THH6W5vCzNIufpzlTpqT/Q+5Y5aa1tVWtra2pv2mY3t5ezZo1K7TYAAAA1GPtPTd9fX1677331NfXp5GREfX29kqSlixZovPPP18HDhzQwMCAPve5z2n69Ol64YUX9Pjjj+u+++6ztSQAAFAC1srN9u3btW/fvrHPr7rqKknSiy++qOuuu07nnnuu9uzZo02bNqlSqWjJkiXavXu37r777ljfp7GxUTt27ODVHgP4WZrFz9Mcfpbm8LM0i5+nOSZ/lrHeUAwAAFB0XFsKAAB4hXIDAAC8QrkBAABeodwAAACvOF1udu3apWuvvVZNTU2hZzNsaGiY9LF///5sF+qAKD/Lvr4+rV69Wk1NTZo7d67uv/9+ffzxx9ku1FEXXXTRpH+HX//61/NelhP27Nmjiy66SNOnT1dnZ6deffXVvJfkpIcffnjSv8Hg2eQR7uWXX9aaNWvU3t6uhoYGPffcc+O+XqlUtH37ds2fP1/nnXeeVqxYoTfffDOfxTqg3s9z3bp1k/6trlq1Ktb3cLrcnDlzRrfddpvuueeemvd75plndPz48bGPW265JZsFOqTez3JkZESrV6/WmTNn9Morr2jfvn3au3evtm/fnvFK3fXII4+M+3f4l3/5l3kvqfC+973vafPmzdqxY4d+/vOfa9myZVq5cqXefffdvJfmpMsuu2zcv8Gf/OQneS/JCadPn9ayZcu0Z8+eql9/4okn9M1vflNPP/20Dh06pBkzZmjlypX68MMPM16pG+r9PCVp1apV4/6tPvvss/G+ScUDzzzzTKWlpaXq1yRVfvCDH2S6HpeF/Sx/+MMfVqZMmVLp7+8fu+3b3/52pbm5uTI8PJzhCt20aNGiyt/8zd/kvQznXHPNNZUNGzaMfT4yMlJpb2+vdHd357gqN+3YsaOybNmyvJfhvInHlE8++aTS1tZWefLJJ8duO3nyZKWxsbHy7LPP5rBCt1Q7Rq9du7Zy8803p5rr9Cs3UW3YsEFz5szRNddco+9+97tGLqdeNj09Pbr88ss1b968sdtWrlypoaEh/fKXv8xxZe74+te/rgsvvFBXXXWVnnzySX6lV8eZM2f02muvacWKFWO3TZkyRStWrFBPT0+OK3PXm2++qfb2dnV0dOhLX/qS+vr68l6S844ePar+/v5x/05bWlrU2dnJv9MUXnrpJc2dO1eXXHKJ7rnnHp04cSLW462dobgoHnnkEd1www1qamrS888/r69+9as6deqU7r333ryX5pT+/v5xxUbS2Of9/f15LMkp9957r66++mrNnj1br7zyirZt26bjx49r9+7deS+tsH7zm99oZGSk6r+7N954I6dVuauzs1N79+7VJZdcouPHj2vnzp36gz/4A/3iF7/QzJkz816es0b3v2r/Ttkbk1m1apW+8IUvaPHixTpy5Ii+9rWvqaurSz09PZo6dWqkGYUrN1u3btU3vvGNmvd5/fXXI78R7qGHHhr776uuukqnT5/Wk08+WYpyY/pnifHi/Hw3b948dtsVV1yhadOm6c///M/V3d3NaduRia6urrH/vuKKK9TZ2alFixbpn/7pn3TXXXfluDJgvDvuuGPsvy+//HJdccUVuvjii/XSSy/pxhtvjDSjcOVmy5YtWrduXc37dHR0JJ7f2dmpRx99VMPDw94fVEz+LNva2ib9lcrAwMDY18oozc+3s7NTH3/8sd566y1dcsklFlbnvjlz5mjq1Klj/85GDQwMlPbfnEkXXHCBfud3fkeHDx/OeylOG/23ODAwoPnz54/dPjAwoCuvvDKnVfmlo6NDc+bM0eHDh90tN62trWptbbU2v7e3V7NmzfK+2Ehmf5bLly/Xrl279O6772ru3LmSpBdeeEHNzc1aunSpke/hmjQ/397eXk2ZMmXsZ4nJpk2bps9+9rM6ePDg2F84fvLJJzp48KD+4i/+It/FeeDUqVM6cuSI7rzzzryX4rTFixerra1NBw8eHCszQ0NDOnToUN2/5EU0b7/9tk6cODGuPNZTuHITR19fn9577z319fVpZGREvb29kqQlS5bo/PPP14EDBzQwMKDPfe5zmj59ul544QU9/vjjuu+++/JdeAHV+1nedNNNWrp0qe6880498cQT6u/v14MPPqgNGzaUoiim0dPTo0OHDun666/XzJkz1dPTo02bNunLX/6yZs2alffyCm3z5s1au3atfu/3fk/XXHONnnrqKZ0+fVrr16/Pe2nOue+++7RmzRotWrRI77zzjnbs2KGpU6fqj/7oj/JeWuGdOnVq3CtcR48eVW9vr2bPnq2FCxdq48aNeuyxx/SZz3xGixcv1kMPPaT29nZOOxKi1s9z9uzZ2rlzp774xS+qra1NR44c0QMPPKAlS5Zo5cqV0b9Jqr+1ytnatWsrkiZ9vPjii5VKpVL50Y9+VLnyyisr559/fmXGjBmVZcuWVZ5++unKyMhIvgsvoHo/y0qlUnnrrbcqXV1dlfPOO68yZ86cypYtWyofffRRfot2xGuvvVbp7OystLS0VKZPn1753d/93crjjz9e+fDDD/NemhO+9a1vVRYuXFiZNm1a5Zprrqn89Kc/zXtJTrr99tsr8+fPr0ybNq3yW7/1W5Xbb7+9cvjw4byX5YQXX3yx6v64du3aSqVy9s/BH3roocq8efMqjY2NlRtvvLHy3//93/kuusBq/Tw/+OCDyk033VRpbW2tnHvuuZVFixZV7r777nGnIYmioVLh76IBAIA/SnGeGwAAUB6UGwAA4BXKDQAA8ArlBgAAeIVyAwAAvEK5AQAAXqHcAAAAr1BuAACAVyg3AADAK5QbAADgFcoNAADwCuUGAAB45f8D7C2JPJdtcWgAAAAASUVORK5CYII=", | |
| "text/plain": [ | |
| "<Figure size 645.161x649.351 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "main_in_u.plot(origin = (0,0,0), pixels=(500, 500), width = (30.,30.), color_by = 'material')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": { | |
| "id": "1SIgRmjLTuPJ", | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=9.\n", | |
| " warn(msg, IDWarning)\n", | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=10.\n", | |
| " warn(msg, IDWarning)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Define a lattice for outer assemblies\n", | |
| "out_lat = openmc.HexLattice(lattice_id=200, name='outer assembly')\n", | |
| "out_lat.center = (0., 0.)\n", | |
| "out_lat.pitch = (21.08/17,)\n", | |
| "out_lat.orientation = 'x'\n", | |
| "out_lat.outer = sodium_mod_u\n", | |
| "\n", | |
| "# Create rings of fuel universes that will fill the lattice\n", | |
| "outone = [outer_u]*48\n", | |
| "outtwo = [outer_u]*42\n", | |
| "outthree = [outer_u]*36\n", | |
| "outfour = [outer_u]*30\n", | |
| "outfive = [outer_u]*24\n", | |
| "outsix = [outer_u]*18\n", | |
| "outseven = [outer_u]*12\n", | |
| "outeight = [outer_u]*6\n", | |
| "outnine = [outer_u]*1\n", | |
| "out_lat.universes = [outone,outtwo,outthree,outfour,outfive,outsix,outseven,outeight,outnine]\n", | |
| "\n", | |
| "# Create the prism that will contain the lattice\n", | |
| "outer_out_surface = openmc.model.hexagonal_prism(edge_length=12.1705, orientation='x')\n", | |
| "\n", | |
| "# Fill a cell with the lattice. This cell is filled with the lattice and contained within the prism.\n", | |
| "main_out_assembly = openmc.Cell(cell_id=9, fill=out_lat, region=outer_out_surface & -top & +bottom)\n", | |
| "\n", | |
| "# Fill a cell with a material that will surround the lattice\n", | |
| "out_out_assembly = openmc.Cell(cell_id=10, fill=sodium, region=~outer_out_surface & -top & +bottom)\n", | |
| "\n", | |
| "# Create a universe that contains both \n", | |
| "main_out_u = openmc.Universe(universe_id=5, cells=[main_out_assembly, out_out_assembly])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.image.AxesImage at 0x7f69ffbc9f70>" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 645.161x649.351 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "main_out_u.plot(origin = (0,0,0), pixels=(500, 500), width = (30.,30.), color_by = 'material')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 283 | |
| }, | |
| "id": "pDf5K0t-eYRM", | |
| "outputId": "97396467-3a79-41bb-e9bd-8d4ff43369cf", | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=11.\n", | |
| " warn(msg, IDWarning)\n", | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=12.\n", | |
| " warn(msg, IDWarning)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Create a hexagonal water cell\n", | |
| "\n", | |
| "reflector_assembly = openmc.model.hexagonal_prism(edge_length=12.1705, orientation='x')\n", | |
| "ref_cell = openmc.Cell(cell_id=11, fill=sodium, region=reflector_assembly & -top & +bottom)\n", | |
| "out_ref_cell = openmc.Cell(cell_id=12, fill=sodium, region=~reflector_assembly & -top & +bottom)\n", | |
| "ref_u = openmc.Universe(universe_id=6, cells=[ref_cell, out_ref_cell])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "We have 3 types of assemblies created. We can now make the entire reactor core by creating a lattice that is filled with the assemblies. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": { | |
| "id": "6lDqg4lLWD7v", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Define the core lattice\n", | |
| "core_lat = openmc.HexLattice(lattice_id=300, name='core')\n", | |
| "core_lat.center = (0., 0.)\n", | |
| "core_lat.pitch = (21.08,)\n", | |
| "core_lat.outer = sodium_mod_u" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": { | |
| "id": "M1FcPGAbjH3J", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Create rings of fuel universes that will fill the lattice\n", | |
| "ref_one = [ref_u] * 96\n", | |
| "ref_two = [ref_u] * 90\n", | |
| "ref_three = [ref_u] * 84\n", | |
| "ref_four = ([ref_u] * 5 + [main_out_u] * 4 + [ref_u] * 4) * 6\n", | |
| "ref_five = ([ref_u] + [main_out_u] * 11) * 6\n", | |
| "out_one = [main_out_u]*66\n", | |
| "out_two = [main_out_u]*60\n", | |
| "out_three = ([main_out_u]*2 + [main_in_u]*6 + [main_out_u] * 1)*6\n", | |
| "in_one = [main_in_u]*48\n", | |
| "in_two = [main_in_u]*42\n", | |
| "in_three = [main_in_u]*36\n", | |
| "in_four = [main_in_u]*30\n", | |
| "in_five = [main_in_u]*24\n", | |
| "in_six = [main_in_u]*18\n", | |
| "in_seven = [main_in_u]*12\n", | |
| "in_eight = [main_in_u]*6\n", | |
| "in_nine = [main_in_u]*1\n", | |
| "core_lat.universes = [ref_one,ref_two,ref_three,ref_four,ref_five,out_one,out_two,out_three,in_one,in_two,in_three,in_four,in_five,in_six,in_seven,in_eight,in_nine]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 283 | |
| }, | |
| "id": "nzVEvJgpjyY2", | |
| "outputId": "3f678f02-4a6c-4768-dc46-419ad37019a0", | |
| "scrolled": true, | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=13.\n", | |
| " warn(msg, IDWarning)\n", | |
| "/home/pshriwise/soft/openmc/openmc/mixin.py:70: IDWarning: Another Cell instance already exists with id=14.\n", | |
| " warn(msg, IDWarning)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Create the prism that will contain the lattice\n", | |
| "outer_core_surface = openmc.model.hexagonal_prism(edge_length=347.82, boundary_type='vacuum')\n", | |
| "\n", | |
| "# Fill a cell with the lattice. This cell is filled with the lattice and contained within the prism.\n", | |
| "core = openmc.Cell(cell_id=13, fill=core_lat, region=outer_core_surface & -top & +bottom)\n", | |
| "\n", | |
| "# Fill a cell with a material that will surround the lattice\n", | |
| "out_core = openmc.Cell(cell_id=14, fill=outer, region=~outer_core_surface & -top & +bottom)\n", | |
| "\n", | |
| "# Create a universe that contains both \n", | |
| "main_u = openmc.Universe(universe_id=7, cells=[core, out_core]) " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.image.AxesImage at 0x7f69ffb54460>" | |
| ] | |
| }, | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
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", | |
| "text/plain": [ | |
| "<Figure size 1290.32x1298.7 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "main_u.plot(origin = (0,0,0), pixels=(1000, 1000), width = (660.,660.), color_by = 'material')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "We now have an entire reactor core defined! We can export the geometry and run the code. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "geom = openmc.Geometry(main_u)\n", | |
| "geom.export_to_xml()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "5mPhUg7QWVw4", | |
| "outputId": "f110f4ab-94b5-477b-8c55-cab8ed7c3116", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# OpenMC simulation parameters\n", | |
| "\n", | |
| "lower_left = [-300, -300, -50]\n", | |
| "upper_right = [300, 300, 50]\n", | |
| "uniform_dist = openmc.stats.Box(lower_left, upper_right, only_fissionable=True)\n", | |
| "src = openmc.Source(space=uniform_dist)\n", | |
| "\n", | |
| "settings = openmc.Settings()\n", | |
| "settings.source = src\n", | |
| "settings.batches = 100\n", | |
| "settings.inactive = 10\n", | |
| "settings.particles = 1000\n", | |
| "\n", | |
| "settings.export_to_xml()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 1000 | |
| }, | |
| "id": "A_f292ebWZFM", | |
| "outputId": "d6710d6c-aea6-43c9-e63c-b2e62ea7ea08", | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " %%%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " ############### %%%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " ################## %%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " ################### %%%%%%%%%%%%%%%%%%%%%%%\n", | |
| " #################### %%%%%%%%%%%%%%%%%%%%%%\n", | |
| " ##################### %%%%%%%%%%%%%%%%%%%%%\n", | |
| " ###################### %%%%%%%%%%%%%%%%%%%%\n", | |
| " ####################### %%%%%%%%%%%%%%%%%%\n", | |
| " ####################### %%%%%%%%%%%%%%%%%\n", | |
| " ###################### %%%%%%%%%%%%%%%%%\n", | |
| " #################### %%%%%%%%%%%%%%%%%\n", | |
| " ################# %%%%%%%%%%%%%%%%%\n", | |
| " ############### %%%%%%%%%%%%%%%%\n", | |
| " ############ %%%%%%%%%%%%%%%\n", | |
| " ######## %%%%%%%%%%%%%%\n", | |
| " %%%%%%%%%%%\n", | |
| "\n", | |
| " | The OpenMC Monte Carlo Code\n", | |
| " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", | |
| " License | https://docs.openmc.org/en/latest/license.html\n", | |
| " Version | 0.13.3\n", | |
| " Git SHA1 | 27cb0dc97960fe6d750eb5a93584a9a0ca532ac8\n", | |
| " Date/Time | 2023-09-01 20:47:22\n", | |
| " MPI Processes | 1\n", | |
| " OpenMP Threads | 2\n", | |
| "\n", | |
| " Reading settings XML file...\n", | |
| " Reading cross sections XML file...\n", | |
| " Reading materials XML file...\n", | |
| " Reading geometry XML file...\n", | |
| " Reading Na23 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Na23.h5\n", | |
| " Reading U235 from /home/pshriwise/data/xs/openmc/nndc_hdf5/U235.h5\n", | |
| " Reading U238 from /home/pshriwise/data/xs/openmc/nndc_hdf5/U238.h5\n", | |
| " Reading Pu238 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Pu238.h5\n", | |
| " Reading Pu239 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Pu239.h5\n", | |
| " Reading Pu240 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Pu240.h5\n", | |
| " Reading Pu241 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Pu241.h5\n", | |
| " Reading Pu242 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Pu242.h5\n", | |
| " Reading Am241 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Am241.h5\n", | |
| " Reading O16 from /home/pshriwise/data/xs/openmc/nndc_hdf5/O16.h5\n", | |
| " Reading Cu63 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Cu63.h5\n", | |
| " Reading O17 from /home/pshriwise/data/xs/openmc/nndc_hdf5/O17.h5\n", | |
| " Reading Al27 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Al27.h5\n", | |
| " Minimum neutron data temperature: 294 K\n", | |
| " Maximum neutron data temperature: 294 K\n", | |
| " Preparing distributed cell instances...\n", | |
| " Reading plot XML file...\n", | |
| " Writing summary.h5 file...\n", | |
| " Maximum neutron transport energy: 20000000 eV for Na23\n", | |
| " Initializing source particles...\n", | |
| "\n", | |
| " ====================> K EIGENVALUE SIMULATION <====================\n", | |
| "\n", | |
| " Bat./Gen. k Average k\n", | |
| " ========= ======== ====================\n", | |
| " 1/1 0.87733\n", | |
| " 2/1 0.98621\n", | |
| " 3/1 1.01517\n", | |
| " 4/1 1.02661\n", | |
| " 5/1 1.09937\n", | |
| " 6/1 1.07103\n", | |
| " 7/1 1.11355\n", | |
| " 8/1 1.17353\n", | |
| " 9/1 1.19670\n", | |
| " 10/1 1.13491\n", | |
| " 11/1 1.18932\n", | |
| " 12/1 1.24944 1.21938 +/- 0.03006\n", | |
| " 13/1 1.28137 1.24005 +/- 0.02699\n", | |
| " 14/1 1.25323 1.24334 +/- 0.01936\n", | |
| " 15/1 1.24194 1.24306 +/- 0.01500\n", | |
| " 16/1 1.23628 1.24193 +/- 0.01230\n", | |
| " 17/1 1.21640 1.23828 +/- 0.01102\n", | |
| " 18/1 1.27659 1.24307 +/- 0.01068\n", | |
| " 19/1 1.22603 1.24118 +/- 0.00960\n", | |
| " 20/1 1.22810 1.23987 +/- 0.00869\n", | |
| " 21/1 1.23741 1.23965 +/- 0.00786\n", | |
| " 22/1 1.26206 1.24151 +/- 0.00742\n", | |
| " 23/1 1.21064 1.23914 +/- 0.00722\n", | |
| " 24/1 1.27919 1.24200 +/- 0.00727\n", | |
| " 25/1 1.26497 1.24353 +/- 0.00694\n", | |
| " 26/1 1.25584 1.24430 +/- 0.00654\n", | |
| " 27/1 1.27332 1.24601 +/- 0.00638\n", | |
| " 28/1 1.29892 1.24895 +/- 0.00669\n", | |
| " 29/1 1.22876 1.24788 +/- 0.00642\n", | |
| " 30/1 1.25044 1.24801 +/- 0.00609\n", | |
| " 31/1 1.25918 1.24854 +/- 0.00582\n", | |
| " 32/1 1.23741 1.24804 +/- 0.00557\n", | |
| " 33/1 1.28374 1.24959 +/- 0.00554\n", | |
| " 34/1 1.30877 1.25206 +/- 0.00585\n", | |
| " 35/1 1.23504 1.25138 +/- 0.00565\n", | |
| " 36/1 1.23554 1.25077 +/- 0.00547\n", | |
| " 37/1 1.27070 1.25150 +/- 0.00531\n", | |
| " 38/1 1.21695 1.25027 +/- 0.00527\n", | |
| " 39/1 1.27877 1.25125 +/- 0.00517\n", | |
| " 40/1 1.21812 1.25015 +/- 0.00512\n", | |
| " 41/1 1.30190 1.25182 +/- 0.00523\n", | |
| " 42/1 1.23020 1.25114 +/- 0.00510\n", | |
| " 43/1 1.21901 1.25017 +/- 0.00504\n", | |
| " 44/1 1.26435 1.25059 +/- 0.00491\n", | |
| " 45/1 1.29344 1.25181 +/- 0.00492\n", | |
| " 46/1 1.25164 1.25181 +/- 0.00478\n", | |
| " 47/1 1.25815 1.25198 +/- 0.00466\n", | |
| " 48/1 1.26863 1.25242 +/- 0.00455\n", | |
| " 49/1 1.23034 1.25185 +/- 0.00447\n", | |
| " 50/1 1.19862 1.25052 +/- 0.00456\n", | |
| " 51/1 1.25061 1.25052 +/- 0.00444\n", | |
| " 52/1 1.28806 1.25141 +/- 0.00443\n", | |
| " 53/1 1.28257 1.25214 +/- 0.00438\n", | |
| " 54/1 1.25524 1.25221 +/- 0.00428\n", | |
| " 55/1 1.22000 1.25149 +/- 0.00425\n", | |
| " 56/1 1.27128 1.25192 +/- 0.00418\n", | |
| " 57/1 1.28444 1.25262 +/- 0.00414\n", | |
| " 58/1 1.30867 1.25378 +/- 0.00422\n", | |
| " 59/1 1.28182 1.25436 +/- 0.00417\n", | |
| " 60/1 1.27987 1.25487 +/- 0.00412\n", | |
| " 61/1 1.20780 1.25394 +/- 0.00414\n", | |
| " 62/1 1.28015 1.25445 +/- 0.00409\n", | |
| " 63/1 1.26239 1.25460 +/- 0.00402\n", | |
| " 64/1 1.24417 1.25440 +/- 0.00395\n", | |
| " 65/1 1.25882 1.25448 +/- 0.00388\n", | |
| " 66/1 1.24603 1.25433 +/- 0.00381\n", | |
| " 67/1 1.28316 1.25484 +/- 0.00378\n", | |
| " 68/1 1.27634 1.25521 +/- 0.00373\n", | |
| " 69/1 1.30799 1.25610 +/- 0.00377\n", | |
| " 70/1 1.28988 1.25667 +/- 0.00375\n", | |
| " 71/1 1.26836 1.25686 +/- 0.00370\n", | |
| " 72/1 1.25689 1.25686 +/- 0.00364\n", | |
| " 73/1 1.28791 1.25735 +/- 0.00361\n", | |
| " 74/1 1.24400 1.25714 +/- 0.00356\n", | |
| " 75/1 1.29354 1.25770 +/- 0.00355\n", | |
| " 76/1 1.28096 1.25806 +/- 0.00351\n", | |
| " 77/1 1.27550 1.25832 +/- 0.00347\n", | |
| " 78/1 1.29243 1.25882 +/- 0.00346\n", | |
| " 79/1 1.21850 1.25823 +/- 0.00345\n", | |
| " 80/1 1.21279 1.25758 +/- 0.00347\n", | |
| " 81/1 1.20249 1.25681 +/- 0.00350\n", | |
| " 82/1 1.25848 1.25683 +/- 0.00346\n", | |
| " 83/1 1.27999 1.25715 +/- 0.00342\n", | |
| " 84/1 1.29099 1.25761 +/- 0.00341\n", | |
| " 85/1 1.30314 1.25821 +/- 0.00342\n", | |
| " 86/1 1.23158 1.25786 +/- 0.00339\n", | |
| " 87/1 1.29077 1.25829 +/- 0.00337\n", | |
| " 88/1 1.28367 1.25862 +/- 0.00334\n", | |
| " 89/1 1.27505 1.25882 +/- 0.00331\n", | |
| " 90/1 1.28579 1.25916 +/- 0.00328\n", | |
| " 91/1 1.24307 1.25896 +/- 0.00325\n", | |
| " 92/1 1.19312 1.25816 +/- 0.00331\n", | |
| " 93/1 1.23154 1.25784 +/- 0.00328\n", | |
| " 94/1 1.23022 1.25751 +/- 0.00326\n", | |
| " 95/1 1.28684 1.25785 +/- 0.00324\n", | |
| " 96/1 1.25958 1.25787 +/- 0.00320\n", | |
| " 97/1 1.22683 1.25752 +/- 0.00319\n", | |
| " 98/1 1.26572 1.25761 +/- 0.00315\n", | |
| " 99/1 1.21837 1.25717 +/- 0.00315\n", | |
| " 100/1 1.24955 1.25709 +/- 0.00311\n", | |
| " Creating state point statepoint.100.h5...\n", | |
| "\n", | |
| " =======================> TIMING STATISTICS <=======================\n", | |
| "\n", | |
| " Total time for initialization = 3.7701e+00 seconds\n", | |
| " Reading cross sections = 3.7530e+00 seconds\n", | |
| " Total time in simulation = 1.9033e+01 seconds\n", | |
| " Time in transport only = 1.9012e+01 seconds\n", | |
| " Time in inactive batches = 4.2855e+00 seconds\n", | |
| " Time in active batches = 1.4747e+01 seconds\n", | |
| " Time synchronizing fission bank = 9.9962e-03 seconds\n", | |
| " Sampling source sites = 8.5678e-03 seconds\n", | |
| " SEND/RECV source sites = 1.1794e-03 seconds\n", | |
| " Time accumulating tallies = 2.0018e-04 seconds\n", | |
| " Time writing statepoints = 1.3914e-03 seconds\n", | |
| " Total time for finalization = 7.7450e-06 seconds\n", | |
| " Total time elapsed = 2.2822e+01 seconds\n", | |
| " Calculation Rate (inactive) = 2333.47 particles/second\n", | |
| " Calculation Rate (active) = 6102.89 particles/second\n", | |
| "\n", | |
| " ============================> RESULTS <============================\n", | |
| "\n", | |
| " k-effective (Collision) = 1.25810 +/- 0.00305\n", | |
| " k-effective (Track-length) = 1.25709 +/- 0.00311\n", | |
| " k-effective (Absorption) = 1.25785 +/- 0.00402\n", | |
| " Combined k-effective = 1.25783 +/- 0.00266\n", | |
| " Leakage Fraction = 0.11674 +/- 0.00146\n", | |
| "\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "openmc.run()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "collapsed_sections": [], | |
| "name": "FastReactor_3layers.ipynb", | |
| "provenance": [] | |
| }, | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.9.1" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
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