1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275
|
# -*- encoding=utf-8 -*-
# 2020 © Vasileios Angelidakis <v.angelidakis2@ncl.ac.uk>
# 2020 © Bruno Chareyre <bruno.chareyre@grenoble-inp.fr>
# Benchmark of basic performance of open-source DEM simulation systems
# Case 1: Silo flow
# Units: SI (m, N, Pa, kg, sec)
# script execution:
# yade Case1SiloFlow.py (with default arguments, else:)
# yade Case1SiloFlow.py [small|large] [M1|M2]
# example: yade Case1SiloFlow.py small M1 (equivalent to default)
#
# third optional argument is simulated time (default 5s), example:
# yade Case1SiloFlow.py small M1 0.3
numThreads = 1
reportTiming = False
# Configure MPI module if needed
mpi = 'MPI' in yade.config.features
if mpi:
from yade import mpy as mp
else:
print("yade is compiled without MPI support, numThreads>1 ignored")
numThreads = 1
##################### 1. INPUT/OUTPUT #####################
try:
os.mkdir('inputData')
except:
pass # will pass if folders already exist
try:
os.mkdir('outputData')
except:
pass # will pass if folders already exist
# -------------------------------------------------------------------- #
# Input Data -> Define Material and Orifice size.
size = str(sys.argv[1]) if len(sys.argv) > 1 else 'small'
material = str(sys.argv[2]) if len(sys.argv) > 2 else 'M1'
simulationTime = float(sys.argv[3]) if len(sys.argv) > 3 else 5
if size == 'large':
fileName = 'Case1_large'
z = 55.4222 / 1000. # This is the height of the lowest point of the funnel (at the orifice), measuring from the lowest cylindrical cross section of the silo
else:
z = 59.3008 / 1000.
fileName = 'Case1_small'
# -------------------------------------------------------------------- #
# Materials
Steel = O.materials.append(FrictMat(young=210e9, poisson=0.2, density=7200, label='Steel'))
# -------------------------------------------------------------------- #
# Asign values based on the Material and Orifice size
# Coeff of restitution (e) / Coeff of friction (f)
e_M1_M2 = 0.45
f_M1_M2 = 0.2
e_M1_M1 = 0.5
f_M1_M1 = 0.3
e_M1_St = 0.4
f_M1_St = 0.2
e_M2_M2 = 0.4
f_M2_M2 = 0.4
e_M2_St = 0.4
f_M2_St = 0.2
if material == 'M1':
M1 = O.materials.append(FrictMat(young=1.0e9, poisson=0.2, density=2500, label='M1'))
e_gg = e_M1_M1 # Coefficient of restitution (e) between granular material (g) and granular material (g)
f_gg = f_M1_M1 # Coefficient of friction (f)...
e_gs = e_M1_St # Coefficient of restitution (e) between granular material (g) and steel (s)
f_gs = f_M1_St # Coefficient of friction (f)...
elif material == 'M2':
M2 = O.materials.append(FrictMat(young=0.5e9, poisson=0.2, density=2000, label='M2'))
e_gg = e_M2_M2
f_gg = f_M2_M2
e_gs = e_M2_St
f_gs = f_M2_St
F_gg = atan(f_gg) # Friction Angle between granular material (g) and granular material (g)
F_gs = atan(f_gs) # Friction Angle between granular material (g) and steel (s)
# urls where data should be obtained
urls = {} # case name will be size+material
# FIXME: particle coordinates for M1 and M2 are the same right now, the original data needs to be retrieved
urls["smallM1"] = "https://yade-dem.org/publi/data/DEM8/Case1_SiloFlow_PartCoordinates_SmallOrifice.txt"
urls["smallM2"] = "https://yade-dem.org/publi/data/DEM8/Case1_SiloFlow_PartCoordinates_SmallOrifice.txt"
urls["largeM1"] = "https://yade-dem.org/publi/data/DEM8/Case1_SiloFlow_PartCoordinates_LargeOrifice.txt"
urls["largeM2"] = "https://yade-dem.org/publi/data/DEM8/Case1_SiloFlow_PartCoordinates_LargeOrifice.txt"
urls["small"] = "https://yade-dem.org/publi/data/DEM8/Case1_SiloFlow_Walls_SmallOrifice.txt"
urls["large"] = "https://yade-dem.org/publi/data/DEM8/Case1_SiloFlow_Walls_LargeOrifice.txt"
# This condition is not abolutely necessary but it would be inelegant to
# download *.stl and generate densePack N times when we need it done only on master (centralized scene method)
if not mpi or mp.rank == 0:
from yade import ymport
wallFile = 'inputData/Case1_SiloFlow_Walls_' + fileName + '.txt'
sphereFile = 'inputData/Case1_SiloFlow_PartCoordinates_' + fileName + '.txt'
hasInputSpheres = os.path.exists(sphereFile)
if not hasInputSpheres:
print("Downloading sphere file", sphereFile)
try:
print('wget -nc -O ' + sphereFile + '_temp ' + urls[size + material])
os.system('wget -nc -O ' + sphereFile + '_temp ' + urls[size + material])
except:
print("** probably no internet connection, grab", sphereFile, "by yourself **")
with open(sphereFile + '_temp') as x, open(sphereFile, 'w') as y:
for line in x:
columns = line.split()
if len(columns) < 3:
continue # trailing empty lines
y.write('\t'.join(columns) + ' 0.002\n')
y.close()
hasInputWall = os.path.exists(wallFile)
if not hasInputWall:
print("Downloading mesh file", wallFile)
try:
os.system('wget -nc -O ' + wallFile + ' ' + urls[size])
except:
print("** probably no internet connection, grab", wallFile, "by yourself **")
##################### 2. YADE PART #####################
# -------------------------------------------------------------------- #
## Engines
O.engines = [
ForceResetter(),
InsertionSortCollider([Bo1_Sphere_Aabb(), Bo1_Facet_Aabb()], label="collider"),
InteractionLoop(
[Ig2_Sphere_Sphere_ScGeom(), Ig2_Facet_Sphere_ScGeom(hertzian=True)],
[
Ip2_FrictMat_FrictMat_MindlinPhys(
frictAngle=MatchMaker(matches=((1, 1, F_gg), (0, 1, F_gs))), # 0 being the id of Steel and
en=MatchMaker(matches=((1, 1, e_gg), (0, 1, e_gs))) # 1 being the id of material
)
],
[Law2_ScGeom_MindlinPhys_Mindlin(preventGranularRatcheting=False)],
),
NewtonIntegrator(damping=0, gravity=[0, 0, -9.810], label="newton"),
#GlobalStiffnessTimeStepper(active=1,timestepSafetyCoefficient=0.8, timeStepUpdateInterval=100, parallelMode=False, label = "ts",defaultDt=PWaveTimeStep()), #FIXME Remember to reinstate parallelMode=True when we use MPI
#VTKRecorder(virtPeriod=0.04,fileName='/tmp/Silo-',recorders=['spheres','facets']),
]
if not mpi or mp.rank == 0:
sp = ymport.text(sphereFile, material=material)
facets = ymport.textFacets(wallFile, color=(0, 1, 0), material=Steel)
#facets = ymport.stl(fileName+'.stl',color=(0,1,0),material=Steel)
fctIds = range(len(facets))
O.bodies.append(facets)
O.bodies.append(sp)
# -------------------------------------------------------------------- #
# Count the number of spherical particles to verify sample size. We can comment this out later on.
numSpheres = 0
for b in O.bodies:
if isinstance(b.shape, Sphere):
numSpheres = numSpheres + 1
print('The total number of spheres is: ', numSpheres)
collider.verletDist = 0.1 * O.bodies[-1].shape.radius
O.dynDt = False
O.dt = 1.5e-6 if material == 'M1' else 2e-6
# -------------------------------------------------------------------- #
# Erase particles flowing out of the silo
def eraseEscapedParticles():
global numErased
count = 0
ts = time.time()
ers = []
for b in O.bodies:
if isinstance(
b.shape, Sphere
) and b.state.pos[2] < -z: # I do not delete the particles right after they pass the orifice, to disturb the simulation as little as possible
ers.append(b.id)
count += 1
if mpi:
mp.bodyErase(ers)
else:
for b in ers:
O.bodies.erase(b.id)
numErased += count
#-------------------------------------------------------------------- #
#Record time-dependent number of retained particles and vtk export
from yade import plot
plot.plots = {'time': (('retained', 'bo--'), None, ('Cu', "kx--"))}
numErased = 0
def addPlotData(Cu):
plot.addData(time=O.time, retained=numSpheres - numErased, Cu=Cu)
addPlotData(0)
from yade import export
vtk = export.VTKExporter("spheresFinal")
# -------------------------------------------------------------------- #
# Run iterations
if mpi: # import and tune MPI module
mp.DOMAIN_DECOMPOSITION = True
mp.ACCUMULATE_FORCES = False
mp.MERGE_W_INTERACTIONS = False
mp.REALLOCATE_MINIMAL = False
mp.REALLOCATE_FREQUENCY = 20
mp.USE_CPP_REALLOC = True
mp.MINIMAL_INTERSECTIONS = True
mp.YADE_TIMING = reportTiming
mp.USE_CPP_INTERS = True
#mp.VERBOSE_OUTPUT=True
else:
O.timingEnabled = reportTiming
startTime = time.time()
substeps = 500
while len(O.bodies) - numErased > 0 and O.time < simulationTime:
#for k in range(4):
t1 = time.time()
if mpi:
mp.mpirun(substeps, numThreads, withMerge=True) # if numThreads=1 this will fall-back to normal O.run() and mp.rank=0
else:
O.run(substeps, True)
eraseEscapedParticles()
if mpi and mp.rank > 0:
continue # mpi workers do not record
t2 = time.time()
addPlotData((numSpheres - numErased) * substeps / (t2 - t1))
#vtk.exportSpheres(what=dict(particleVelocity='b.state.vel',domain='b.subdomain'))
plot.plot(noShow=True).savefig('outputData/' + fileName + '_' + material + '_np' + str(numThreads) + '.png')
plot.saveDataTxt('outputData/' + fileName + '_' + material + '.txt')
print("iter=", O.iter, ", last substep erased", numErased, "in", t2 - t1, "s")
##################### 3. GUI and timings #####################
if opts.nogui == False:
from yade import qt
v = qt.View()
v.eyePosition = Vector3(0, -.6, .1)
v.upVector = Vector3(0, 0, 1)
v.viewDir = Vector3(0, 1, 0)
# v.grid=(False,True,False)
rndr = yade.qt.Renderer()
#rndr.shape=False
#rndr.bound=True
wallTime = time.time() - startTime
f = open("timings.txt", "a")
f.write(fileName + '_' + material + ' ' + str(O.time) + ' ' + str(wallTime) + '\n')
## To play interactively with mpi execution:
## mp.mpirun(100,numThreads,True) #'True' so we see merged scene after the run
## eraseEscapedParticles()
## mp.mpirun(100,numThreads,True)
## etc.
|