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couette comments

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testcases/couette-2d/betonlmgc.py
View file @ 8cd8c59f
......@@ -21,15 +21,15 @@
#!/usr/bin/env python
'''
Mixing of grains in a rotating drum.
This example shows how to set boundary conditions as a function of some parametres.
A boolean parametre give the possibility to use lmgc90 to solve contacts or not.
'''
# TESTCASE DESCRIPTION
# Mixing of grains in a rotating drum.
# This example shows how to set boundary conditions as a function of some parametres.
# A boolean parametre give the possibility to use lmgc90 to solve contacts or not.
#variable to use lmgc or not
use_lmgc = 1
from migflow import fluid as fluid
from migflow import scontact2
from migflow import fluid
from migflow import scontact
if use_lmgc :
from migflow import lmgc2Interface
import numpy as np
......@@ -37,155 +37,147 @@ import os
import time
import shutil
'''
genInitialPosition is a function that sets all the grains centre positions and create the grains objects to add in the computing structure
Args: -filename : name of the output file
-r : max radius of the grains
-rout : outer radius of the drum
-rhop : grains density
'''
def genInitialPosition(filename, r, rout, rhop) :
#Grains structure builder
p = scontact2.ParticleProblem()
#Load mesh.msh file specifying physical boundaries names
"""Create a container to initialize particles and write particles in an initial output file.
Keyword arguments:
filename -- directory to write the output file
r -- max particle radius
rout -- outer radius of the drum
rhop -- particle density
"""
# Grains structure builder
p = scontact.ParticleProblem(2)
# Load mesh.msh file specifying physical boundaries names
p.load_msh_boundaries("mesh.msh", ["Outer", "Inner"])
'''First layer of grains'''
#Definition of the points where the grains are located
x = np.arange(rout, -rout, 2 * -r)
y = np.arange(-rout, -2*rout/3., 2 * r)
x, y = np.meshgrid(x, y)
R2 = x**2 + y**2
#condition to be inside the outer boundary
keep = R2 < (rout - r)**2
x = x[keep]
y = y[keep]
#Add a grain at each centre position
# First layer of grains
# Definition of the points where the grains are located
x = np.arange(rout, -rout, 2 * -r)
y = np.arange(-rout, -2*rout/3., 2 * r)
x, y = np.meshgrid(x, y)
R2 = x**2 + y**2
# Condition to be inside the outer boundary
keep = R2 < (rout-r)**2
x = x[keep]
y = y[keep]
# Add a grain at each centre position
for i in range(x.shape[0]) :
p.add_particle((x[i], y[i]), r, r**2 * np.pi * rhop);
'''Second layer of grains'''
#Definition of the points where the grains are located
x = np.arange(rout, -rout, -r)
y = np.arange(-2*rout/3.+r, -rout/2., r)
x, y = np.meshgrid(x, y)
#condition to be inside the outer boundary
R2 = x**2 + y**2
keep = R2 < (rout - r)**2
x = x[keep]
y = y[keep]
#Add a grain at each centre position
# Second layer of grains
# Definition of the points where the grains are located
x = np.arange(rout, -rout, -r)
y = np.arange(-2*rout/3.+r, -rout/2., r)
x, y = np.meshgrid(x, y)
# Condition to be inside the outer boundary
R2 = x**2 + y**2
keep = R2 < (rout-r)**2
x = x[keep]
y = y[keep]
# Add a grain at each centre position
for i in range(x.shape[0]) :
p.add_particle((x[i], y[i]), r/2., r**2/4. * np.pi * rhop);
'''Third layer of grains'''
#Definition of the points where the grains are located
x = np.arange(rout, -rout, 2 * -r/3)
y = np.arange(-rout/2.+r, -5*rout/12., 2 * r/3)
x, y = np.meshgrid(x, y)
R2 = x**2 + y**2
#condition to be inside the outer boundary
keep = R2 < (rout - r/3)**2
x = x[keep]
y = y[keep]
#Add a grain at each centre position
# Third layer of grains
# Definition of the points where the grains are located
x = np.arange(rout, -rout, 2 * -r/3)
y = np.arange(-rout/2.+r, -5*rout/12., 2 * r/3)
x, y = np.meshgrid(x, y)
R2 = x**2 + y**2
# Condition to be inside the outer boundary
keep = R2 < (rout-r/3)**2
x = x[keep]
y = y[keep]
# Add a grain at each centre position
for i in range(x.shape[0]) :
p.add_particle((x[i], y[i]), r/3, r**2 /9 * np.pi * rhop);
p.add_particle((x[i], y[i]), r/3, r**2 /9*np.pi*rhop);
p.write_vtk(filename,0,0)
#Define output directory
# Define output directory
outputdir = "output"
if not os.path.isdir(outputdir) :
os.makedirs(outputdir)
#physical parameters
g = -9.81 # gravity
rhop = 1600 # grains density
r = 397e-6/2 # grains radius
rho = 1e3 # fluid density
nu = 1e-4 # kinematic viscosity
# Physical parameters
g = -9.81 # gravity
rhop = 1600 # grains density
r = 397e-6/2 # grains radius
rho = 1e3 # fluid density
nu = 1e-4 # kinematic viscosity
#numerical parameters
outf = 1 # number of iterations between output files
dt = 5e-3 # time step
tEnd = 100 # final time
# Numerical parameters
outf = 1 # number of iterations between output files
dt = 5e-3 # time step
tEnd = 100 # final time
#Geometrical parametres
rout = 0.0254 # outer boundary
# Geometrical parametres
rout = 0.0254 # outer boundary
#Initialise grains
#
# PARTICLE PROBLEM
#
# Initialise grains
genInitialPosition(outputdir, r, rout, rhop)
if use_lmgc :
friction = 0.1 # friction coefficient
lmgc2Interface.scontactToLmgc90(outputdir,0,friction)
p = lmgc2Interface.LmgcInterface()
p = lmgc2Interface.LmgcInterface()
else :
p = scontact2.ParticleProblem()
p = scontact.ParticleProblem(2)
p.read_vtk(outputdir,0)
#Initial time and iteration
t = 0
ii = 0
'''
fluid_problem is the function builder of the fluid class
Args: -g : gravity
-viscosity : list of fluid phases viscosities
-density : list of fluid phases densities
'''
fluid = fluid.fluid_problem(g,[nu*rho],[rho])
# Initial time and iteration
t = 0
ii = 0
#
# FLUID PROBLEM
#
fluid = fluid.FluidProblem(2,g,[nu*rho],[rho])
#Set the mesh geometry for the fluid computation
fluid.load_msh("mesh.msh")
'''
set_strong_boundary is the function setting the strong boundaries (=constraints) for the fluid problem
Args: -Tag : physical tag (set in the mesh.geo file) of the boundary on which you want to add a constraint
-Field : O: x-velocity; 1: y-velocity; 2: pressure
-Value : value assigned to the specified field on the specified boundary
'''
fluid.set_strong_boundary("Outer",0,lambda x : -4*x[:, 1])
fluid.set_strong_boundary("Outer",1,lambda x : 4*x[:, 0])
fluid.set_strong_boundary("Inner",0,0)
fluid.set_strong_boundary("Inner",1,0)
fluid.set_strong_boundary("PtFix",2,0)
'''
set_weak_boundary is the function setting the weak boundaries (=normal fluxes) for the fluid problem
Args: -Tag : physical tag (set in the mesh.geo file) of the boundary on which you want to add a constraint
-Bnd Type : boundaries can be of type: wall, inflow, outflow
'''
fluid.set_weak_boundary("Inner","Wall")
fluid.set_weak_boundary("Outer","Wall")
#Set location of the grains in the mesh and compute the porosity in each computation cell
fluid.set_particles(p.mass(), p.volume(), p.position(), p.velocity())
fluid.export_vtk(outputdir,0,0)
tic = time.time()
#Computation loop
tic = time.time()
fluid.set_particles(p.mass(), p.volume(), p.position(), p.velocity())
#
# COMPUTATION LOOP
#
while t < tEnd :
#Fluid solver
# Fluid solver
fluid.implicit_euler(dt)
#Computation of the new velocities
forces = fluid.compute_node_force(dt)
vn = p.velocity() + forces * dt / p.mass()
vmax = np.max(np.hypot(vn[:, 0], vn[:, 1]))
#number of contact sub time step
nsub = max(1, int(np.ceil((vmax * dt * 4)/min(p.r()))))
# Computation of the new velocities
forces = fluid.compute_node_force(dt)
vn = p.velocity() + forces*dt/p.mass()
vmax = np.max(np.hypot(vn[:, 0], vn[:, 1]))
# Number of contact sub time step
nsub = max(1, int(np.ceil((vmax*dt*4)/min(p.r()))))
print("NSUB", nsub,"VMAX",vmax, "VMAX * dt", vmax * dt, "r", min(p.r()))
#Contact solver
# NLGS iterations
for i in range(nsub) :
tol = 1e-6 #numerical tolerance for grains intersection
tol = 1e-6 #numerical tolerance for grains intersection
p.iterate(dt/nsub, forces, tol)
#Localisation of the grains in the fluid
# Localisation of the grains in the fluid
fluid.set_particles(p.mass(), p.volume(), p.position(), p.velocity())
t += dt
t += dt
#Output files writting
# Output files writting
if ii %outf == 0 :
ioutput = int(ii/outf) + 1
p.write_vtk(outputdir, ioutput, t)
fluid.export_vtk(outputdir, t, ioutput)
ii += 1
print("%i : %.2g/%.2g (cpu %.6g)" % (ii, t, tEnd, time.time() - tic))
ii += 1
print("%i : %.2g/%.2g (cpu %.6g)" % (ii, t, tEnd, time.time()-tic))
\ No newline at end of file
testcases/couette-2d/melangeur.py
View file @ 8cd8c59f
......@@ -20,13 +20,14 @@
# see <http://www.gnu.org/licenses/>.
#!/usr/bin/env python
'''
Grains in circular shear flow.
This example shows how to set boundary conditions as a function of some parametres.
A boolean parametre give the possibility to use lmgc90 to solve contacts or not.
'''
from migflow import fluid as fluid
from migflow import scontact2
# TESTCASE DESCRIPTION
# Grains in circular shear flow.
# This example shows how to set boundary conditions as a function of some parametres.
# A boolean parametre give the possibility to use lmgc90 to solve contacts or not.
from migflow import fluid
from migflow import scontact
import numpy as np
import os
......@@ -34,129 +35,120 @@ import time
import shutil
import random
#Define output directory
# Define output directory
outputdir = "output"
if not os.path.isdir(outputdir) :
os.makedirs(outputdir)
'''
genInitialPosition is a function that sets all the grains centre positions and create the grains objects to add in the computing structure
Args: -filename : name of the output file
-r : max radius of the grains
-rout : outer radius of the drum
-rhop : grains density
'''
def genInitialPosition(filename, r, rout, rin, rhop) :
#Grains structure builder
p = scontact2.ParticleProblem()
#Load mesh.msh file specifying physical boundaries names
"""Create a container to initialize particles and write particles in an initial output file.
Keyword arguments:
filename -- directory to write the output file
r -- max particle radius
rout -- outer radius of the drum
rhop -- particle density
"""
# Grains structure builder
p = scontact.ParticleProblem(2)
# Load mesh.msh file specifying physical boundaries names
p.load_msh_boundaries("mesh.msh", ["Outer", "Inner"])
#Definition of the points where the grains are located
x = np.arange(rout, -rout, 2 * -r)
x, y = np.meshgrid(x, x)
R2 = x**2 + y**2
#condition to be inside the outer boundary
keep = R2 < (rout - r)**2
x = x[keep]
y = y[keep]
R2 = x**2 + y**2
#condition to be outside the inner boundary
keep = R2 > (rin + r)**2
x = x[keep]
y = y[keep]
#Add a grain at each centre position
# Definition of the points where the grains are located
x = np.arange(rout, -rout, 2 * -r)
x, y = np.meshgrid(x, x)
R2 = x**2 + y**2
# Condition to be inside the outer boundary
keep = R2 < (rout-r)**2
x = x[keep]
y = y[keep]
R2 = x**2 + y**2
# Condition to be outside the inner boundary
keep = R2 > (rin+r)**2
x = x[keep]
y = y[keep]
# Add a grain at each centre position
for i in range(x.shape[0]) :
if y[i]<0:
rhop1 = random.choice([rhop*.9,1.1*rhop,rhop])
p.add_particle((x[i], y[i]), r, r**2 * np.pi * rhop1)
p.write_vtk(filename,0,0)
#physical parameters
g = 0 # gravity
rho = 1.253e3 # fluid density
rhop = 1000 # grains density
nu = 1e-4 # kinematic viscosity
#numerical parameters
dt = 1e-2 # time step
tEnd = 50 # final time
#geometry parameters
outf = 5 # number of iterations between output files
rout = 0.0254 # outer radius
rin = 0.0064 # inner radius
r = 397e-6/2 # grains radius
#Object particles creation
# Physical parameters
g = 0 # gravity
rho = 1.253e3 # fluid density
rhop = 1000 # grains density
nu = 1e-4 # kinematic viscosity
# Numerical parameters
dt = 1e-2 # time step
tEnd = 50 # final time
# Geometry parameters
outf = 5 # number of iterations between output files
rout = 0.0254 # outer radius
rin = 0.0064 # inner radius
r = 397e-6/2 # grains radius
#
# PARTICLE PROBLEM
#
# Object particles creation
genInitialPosition(outputdir, r, rout, rin, rhop)
p = scontact2.ParticleProblem()
p = scontact.ParticleProblem(2)
p.read_vtk(outputdir,0)
#Initial time and iteration
t = 0
ii = 0
'''
fluid_problem is the function builder of the fluid class
Args: -g : gravity
-viscosity : list of fluid phases viscosities
-density : list of fluid phases densities
'''
fluid = fluid.fluid_problem(g,[nu*rho],[rho])
#Set the mesh geometry for the fluid computation
# Initial time and iteration
t = 0
ii = 0
#
# FLUID PROBLEM
#
fluid = fluid.FluidProblem(2,g,[nu*rho],[rho])
# Set the mesh geometry for the fluid computation
fluid.load_msh("mesh.msh")
'''
set_strong_boundary is the function setting the strong boundaries (=constraints) for the fluid problem
Args: -Tag : physical tag (set in the mesh.geo file) of the boundary on which you want to add a constraint
-Field : O: x-velocity; 1: y-velocity; 2: pressure
-Value : value assigned to the specified field on the specified boundary
'''
fluid.set_strong_boundary("Outer",0,lambda x : -x[:, 1])
fluid.set_strong_boundary("Outer",1,lambda x : x[:, 0])
fluid.set_strong_boundary("Inner",0,0)
fluid.set_strong_boundary("Inner",1,0)
fluid.set_strong_boundary("PtFix",2,0)
'''
set_weak_boundary is the function setting the weak boundaries (=normal fluxes) for the fluid problem
Args: -Tag : physical tag (set in the mesh.geo file) of the boundary on which you want to add a constraint
-Bnd Type : boundaries can be of type: wall, inflow, outflow
'''
fluid.set_weak_boundary("Inner","Wall")
fluid.set_weak_boundary("Outer","Wall")
#Set location of the grains in the mesh and compute the porosity in each computation cell
# Set location of the grains in the mesh and compute the porosity in each computation cell
fluid.set_particles(p.mass(), p.volume(), p.position(), p.velocity())
fluid.export_vtk(outputdir,0,0)
tic = time.time()
#Computation loop
fluid.set_particles(p.mass(), p.volume(), p.position(), p.velocity())
#
# COMPUTATION LOOP
#
while t < tEnd :
#Fluid solver
# Fluid solver
fluid.implicit_euler(dt)
#Computation of the new velocities
forces = fluid.compute_node_force(dt)
vn = p.velocity() + forces * dt / p.mass()
vmax = np.max(np.hypot(vn[:, 0], vn[:, 1]))
#number of contact sub time step
nsub = max(1, int(np.ceil((vmax * dt * 4)/min(p.r()))))
# Computation of the new velocities
forces = fluid.compute_node_force(dt)
vn = p.velocity() + forces*dt/p.mass()
vmax = np.max(np.hypot(vn[:, 0], vn[:, 1]))
# Number of contact sub time step
nsub = max(1, int(np.ceil((vmax*dt*4)/min(p.r()))))
print("NSUB", nsub,"VMAX",vmax, "VMAX * dt", vmax * dt, "r", min(p.r()))
#Contact solver
# NLGS iterations
for i in range(nsub) :
tol = 1e-6 #numerical tolerance for grains intersection
tol = 1e-6 # Numerical tolerance for grains intersection
p.iterate(dt/nsub, forces, tol)
#Localisation of the grains in the fluid
# Localisation of the grains in the fluid
fluid.set_particles(p.mass(), p.volume(), p.position(), p.velocity())
t += dt
t += dt
#Output files writting
# Output files writting
if ii %outf == 0 :
ioutput = int(ii/outf) + 1
p.write_vtk(outputdir, ioutput, t)
fluid.export_vtk(outputdir, t, ioutput)
ii += 1
print("%i : %.2g/%.2g (cpu %.6g)" % (ii, t, tEnd, time.time() - tic))
ii += 1
print("%i : %.2g/%.2g (cpu %.6g)" % (ii, t, tEnd, time.time()-tic))
\ No newline at end of file
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