def main(
nelems: 'number of elements' = 20,
degree: 'polynomial degree' = 1,
timescale: 'time scale (timestep=timescale/nelems)' = .5,
tol: 'solver tolerance' = 1e-5,
ndims: 'spatial dimension' = 1,
endtime: 'end time, 0 for no end time' = 0,
withplots: 'create plots' = True,
):
# construct mesh, basis
ns = function.Namespace()
domain, ns.x = mesh.rectilinear([numpy.linspace(0, 1, nelems + 1)] * ndims,
periodic=range(ndims))
ns.basis = domain.basis('discont', degree=degree)
ns.u = 'basis_n ?lhs_n'
# construct initial condition (centered gaussian)
lhs0 = domain.project('exp(-?y_i ?y_i) | ?y_i = 5 (x_i - 0.5_i)' @ ns,
onto=ns.basis,
geometry=ns.x,
degree=5)
# prepare residual
ns.f = '.5 u^2'
ns.C = 1
res = domain.integral('-basis_n,0 f' @ ns, geometry=ns.x, degree=5)
res += domain.interfaces.integral(
'-[basis_n] n_0 ({f} - .5 C [u] n_0)' @ ns, geometry=ns.x, degree=5)
inertia = domain.integral('basis_n u' @ ns, geometry=ns.x, degree=5)
# prepare plotting
makeplots = MakePlots(domain, video=withplots
== 'video') if withplots else lambda ns: None
# start time stepping
timestep = timescale / nelems
for itime, lhs in log.enumerate(
'timestep',
solver.impliciteuler('lhs',
res,
inertia,
timestep,
lhs0,
newtontol=tol)):
makeplots(ns | dict(lhs=lhs))
if endtime and itime * timestep >= endtime:
break
return res.eval(arguments=dict(lhs=lhs)), lhs
def main(
nelems: 'number of elements' = 20,
degree: 'polynomial degree' = 1,
timescale: 'time scale (timestep=timescale/nelems)' = .5,
tol: 'solver tolerance' = 1e-5,
ndims: 'spatial dimension' = 1,
endtime: 'end time, 0 for no end time' = 0,
withplots: 'create plots' = True,
):
# construct mesh, basis
ns = function.Namespace()
domain, ns.x = mesh.rectilinear([numpy.linspace(0,1,nelems+1)]*ndims, periodic=range(ndims))
ns.basis = domain.basis('discont', degree=degree)
ns.u = 'basis_n ?lhs_n'
# construct initial condition (centered gaussian)
lhs0 = domain.project('exp(-?y_i ?y_i) | ?y_i = 5 (x_i - 0.5_i)' @ ns, onto=ns.basis, geometry=ns.x, degree=5)
# prepare residual
ns.f = '.5 u^2'
ns.C = 1
res = domain.integral('-basis_n,0 f' @ ns, geometry=ns.x, degree=5)
res += domain.interfaces.integral('-[basis_n] n_0 ({f} - .5 C [u] n_0)' @ ns, geometry=ns.x, degree=5)
inertia = domain.integral('basis_n u' @ ns, geometry=ns.x, degree=5)
# prepare plotting
makeplots = MakePlots(domain, video=withplots=='video') if withplots else lambda ns: None
# start time stepping
timestep = timescale/nelems
for itime, lhs in log.enumerate('timestep', solver.impliciteuler('lhs', res, inertia, timestep, lhs0, newtontol=tol)):
makeplots(ns | dict(lhs=lhs))
if endtime and itime * timestep >= endtime:
break
return res.eval(arguments=dict(lhs=lhs)), lhs
def main(
nelems: 'number of elements' = 12,
viscosity: 'fluid viscosity' = 1e-2,
density: 'fluid density' = 1,
tol: 'solver tolerance' = 1e-12,
rotation: 'cylinder rotation speed' = 0,
timestep: 'time step' = 1/24,
maxradius: 'approximate domain size' = 25,
tmax: 'end time' = numpy.inf,
degree: 'polynomial degree' = 2,
withplots: 'create plots' = True,
):
log.user('reynolds number: {:.1f}'.format(density / viscosity)) # based on unit length and velocity
# create namespace
ns = function.Namespace()
ns.uinf = 1, 0
ns.density = density
ns.viscosity = viscosity
# construct mesh
rscale = numpy.pi / nelems
melems = numpy.ceil(numpy.log(2*maxradius) / rscale).astype(int)
log.info('creating {}x{} mesh, outer radius {:.2f}'.format(melems, 2*nelems, .5*numpy.exp(rscale*melems)))
domain, x0 = mesh.rectilinear([range(melems+1),numpy.linspace(0,2*numpy.pi,2*nelems+1)], periodic=(1,))
rho, phi = x0
phi += 1e-3 # tiny nudge (0.057 deg) to break element symmetry
radius = .5 * function.exp(rscale * rho)
ns.x = radius * function.trigtangent(phi)
domain = domain.withboundary(inner='left', inflow=domain.boundary['right'].select(-ns.uinf.dotnorm(ns.x), ischeme='gauss1'))
# prepare bases (using piola transformation to maintain u/p compatibility)
J = ns.x.grad(x0)
detJ = function.determinant(J)
ns.unbasis, ns.utbasis, ns.pbasis = function.chain([ # compatible spaces using piola transformation
domain.basis('spline', degree=(degree+1,degree), removedofs=((0,),None))[:,_] * J[:,0] / detJ,
domain.basis('spline', degree=(degree,degree+1))[:,_] * J[:,1] / detJ,
domain.basis('spline', degree=degree) / detJ,
])
ns.ubasis_ni = 'unbasis_ni + utbasis_ni'
# populate namespace
ns.u_i = 'ubasis_ni ?lhs_n'
ns.p = 'pbasis_n ?lhs_n'
ns.sigma_ij = 'viscosity (u_i,j + u_j,i) - p δ_ij'
ns.hinner = 2 * numpy.pi / nelems
ns.c = 5 * (degree+1) / ns.hinner
ns.nietzsche_ni = 'viscosity (c ubasis_ni - (ubasis_ni,j + ubasis_nj,i) n_j)'
ns.ucyl = -.5 * rotation * function.trignormal(phi)
# create residual vector components
res = domain.integral('ubasis_ni,j sigma_ij + pbasis_n u_k,k' @ ns, geometry=ns.x, degree=2*(degree+1))
res += domain.boundary['inner'].integral('nietzsche_ni (u_i - ucyl_i)' @ ns, geometry=ns.x, degree=2*(degree+1))
oseen = domain.integral('density ubasis_ni u_i,j uinf_j' @ ns, geometry=ns.x, degree=2*(degree+1))
convec = domain.integral('density ubasis_ni u_i,j u_j' @ ns, geometry=ns.x, degree=3*(degree+1))
inertia = domain.integral('density ubasis_ni u_i' @ ns, geometry=ns.x, degree=2*(degree+1))
# constrain full velocity vector at inflow
sqr = domain.boundary['inflow'].integral('(u_i - uinf_i) (u_i - uinf_i)' @ ns, geometry=ns.x, degree=9)
cons = solver.optimize('lhs', sqr, droptol=1e-15)
# solve unsteady navier-stokes equations, starting from stationary oseen flow
lhs0 = solver.solve_linear('lhs', res+oseen, constrain=cons)
makeplots = MakePlots(domain, ns, timestep=timestep, rotation=rotation) if withplots else lambda *args: None
for istep, lhs in log.enumerate('timestep', solver.impliciteuler('lhs', residual=res+convec, inertia=inertia, lhs0=lhs0, timestep=timestep, constrain=cons, newtontol=1e-10)):
makeplots(lhs)
if istep * timestep >= tmax:
break
return lhs0, lhs
def main(
nelems: 'number of elements' = 20,
epsilon: 'epsilon, 0 for automatic (based on nelems)' = 0,
timestep: 'time step' = .01,
maxtime: 'end time' = 1.,
theta: 'contact angle (degrees)' = 90,
init: 'initial condition (random/bubbles)' = 'random',
figures: 'create figures' = True,
):
mineps = 1. / nelems
if not epsilon:
log.info('setting epsilon={}'.format(mineps))
epsilon = mineps
elif epsilon < mineps:
log.warning('epsilon under crititical threshold: {} < {}'.format(
epsilon, mineps))
# create namespace
ns = function.Namespace()
ns.epsilon = epsilon
ns.ewall = .5 * numpy.cos(theta * numpy.pi / 180)
# construct mesh
xnodes = ynodes = numpy.linspace(0, 1, nelems + 1)
domain, ns.x = mesh.rectilinear([xnodes, ynodes])
# prepare bases
ns.cbasis, ns.mubasis = function.chain(
[domain.basis('spline', degree=2),
domain.basis('spline', degree=2)])
# polulate namespace
ns.c = 'cbasis_n ?lhs_n'
ns.c0 = 'cbasis_n ?lhs0_n'
ns.mu = 'mubasis_n ?lhs_n'
ns.f = '(6 c0 - 2 c0^3 - 4 c) / epsilon^2'
# construct initial condition
if init == 'random':
numpy.random.seed(0)
lhs0 = numpy.random.normal(0, .5, ns.cbasis.shape)
elif init == 'bubbles':
R1 = .25
R2 = numpy.sqrt(.5) * R1 # area2 = .5 * area1
ns.cbubble1 = function.tanh(
(R1 - function.norm2(ns.x -
(.5 + R2 / numpy.sqrt(2) + .8 * ns.epsilon)))
/ ns.epsilon)
ns.cbubble2 = function.tanh(
(R2 - function.norm2(ns.x -
(.5 - R1 / numpy.sqrt(2) - .8 * ns.epsilon)))
/ ns.epsilon)
sqr = domain.integral('(c - cbubble1 - cbubble2 - 1)^2 + mu^2' @ ns,
geometry=ns.x,
degree=4)
lhs0 = solver.optimize('lhs', sqr)
else:
raise Exception('unknown init %r' % init)
# construct residual
res = domain.integral(
'epsilon^2 cbasis_n,k mu_,k + mubasis_n (mu + f) - mubasis_n,k c_,k'
@ ns,
geometry=ns.x,
degree=4)
res -= domain.boundary.integral('mubasis_n ewall' @ ns,
geometry=ns.x,
degree=4)
inertia = domain.integral('cbasis_n c' @ ns, geometry=ns.x, degree=4)
# solve time dependent problem
nsteps = numeric.round(maxtime / timestep)
makeplots = MakePlots(domain, nsteps,
ns) if figures else lambda *args: None
for istep, lhs in log.enumerate(
'timestep',
solver.impliciteuler('lhs',
target0='lhs0',
residual=res,
inertia=inertia,
timestep=timestep,
lhs0=lhs0)):
makeplots(lhs)
if istep == nsteps:
break
return lhs0, lhs
def main(
nelems: 'number of elements' = 12,
viscosity: 'fluid viscosity' = 1e-2,
density: 'fluid density' = 1,
tol: 'solver tolerance' = 1e-12,
rotation: 'cylinder rotation speed' = 0,
timestep: 'time step' = 1/24,
maxradius: 'approximate domain size' = 25,
tmax: 'end time' = numpy.inf,
degree: 'polynomial degree' = 2,
figures: 'create figures' = True,
):
log.user('reynolds number: {:.1f}'.format(density / viscosity)) # based on unit length and velocity
# create namespace
ns = function.Namespace()
ns.uinf = 1, 0
ns.density = density
ns.viscosity = viscosity
# construct mesh
rscale = numpy.pi / nelems
melems = numpy.ceil(numpy.log(2*maxradius) / rscale).astype(int)
log.info('creating {}x{} mesh, outer radius {:.2f}'.format(melems, 2*nelems, .5*numpy.exp(rscale*melems)))
domain, x0 = mesh.rectilinear([range(melems+1),numpy.linspace(0,2*numpy.pi,2*nelems+1)], periodic=(1,))
rho, phi = x0
phi += 1e-3 # tiny nudge (0.057 deg) to break element symmetry
radius = .5 * function.exp(rscale * rho)
ns.x = radius * function.trigtangent(phi)
domain = domain.withboundary(inner='left', inflow=domain.boundary['right'].select(-ns.uinf.dotnorm(ns.x), ischeme='gauss1'))
# prepare bases (using piola transformation to maintain u/p compatibility)
J = ns.x.grad(x0)
detJ = function.determinant(J)
ns.unbasis, ns.utbasis, ns.pbasis = function.chain([ # compatible spaces using piola transformation
domain.basis('spline', degree=(degree+1,degree), removedofs=((0,),None))[:,_] * J[:,0] / detJ,
domain.basis('spline', degree=(degree,degree+1))[:,_] * J[:,1] / detJ,
domain.basis('spline', degree=degree) / detJ,
])
ns.ubasis_ni = 'unbasis_ni + utbasis_ni'
# populate namespace
ns.u_i = 'ubasis_ni ?lhs_n'
ns.p = 'pbasis_n ?lhs_n'
ns.sigma_ij = 'viscosity (u_i,j + u_j,i) - p δ_ij'
ns.hinner = 2 * numpy.pi / nelems
ns.c = 5 * (degree+1) / ns.hinner
ns.nietzsche_ni = 'viscosity (c ubasis_ni - (ubasis_ni,j + ubasis_nj,i) n_j)'
ns.ucyl = -.5 * rotation * function.trignormal(phi)
# create residual vector components
res = domain.integral('ubasis_ni,j sigma_ij + pbasis_n u_k,k' @ ns, geometry=ns.x, degree=2*(degree+1))
res += domain.boundary['inner'].integral('nietzsche_ni (u_i - ucyl_i)' @ ns, geometry=ns.x, degree=2*(degree+1))
oseen = domain.integral('density ubasis_ni u_i,j uinf_j' @ ns, geometry=ns.x, degree=2*(degree+1))
convec = domain.integral('density ubasis_ni u_i,j u_j' @ ns, geometry=ns.x, degree=3*(degree+1))
inertia = domain.integral('density ubasis_ni u_i' @ ns, geometry=ns.x, degree=2*(degree+1))
# constrain full velocity vector at inflow
sqr = domain.boundary['inflow'].integral('(u_i - uinf_i) (u_i - uinf_i)' @ ns, geometry=ns.x, degree=9)
cons = solver.optimize('lhs', sqr, droptol=1e-15)
# solve unsteady navier-stokes equations, starting from stationary oseen flow
lhs0 = solver.solve_linear('lhs', res+oseen, constrain=cons)
makeplots = MakePlots(domain, ns, timestep=timestep, rotation=rotation) if figures else lambda *args: None
for istep, lhs in log.enumerate('timestep', solver.impliciteuler('lhs', residual=res+convec, inertia=inertia, lhs0=lhs0, timestep=timestep, constrain=cons, newtontol=1e-10)):
makeplots(lhs)
if istep * timestep >= tmax:
break
return lhs0, lhs
def main(
nelems: 'number of elements' = 20,
epsilon: 'epsilon, 0 for automatic (based on nelems)' = 0,
timestep: 'time step' = .01,
maxtime: 'end time' = 1.,
theta: 'contact angle (degrees)' = 90,
init: 'initial condition (random/bubbles)' = 'random',
withplots: 'create plots' = True,
):
mineps = 1./nelems
if not epsilon:
log.info('setting epsilon={}'.format(mineps))
epsilon = mineps
elif epsilon < mineps:
log.warning('epsilon under crititical threshold: {} < {}'.format(epsilon, mineps))
# create namespace
ns = function.Namespace()
ns.epsilon = epsilon
ns.ewall = .5 * numpy.cos( theta * numpy.pi / 180 )
# construct mesh
xnodes = ynodes = numpy.linspace(0,1,nelems+1)
domain, ns.x = mesh.rectilinear( [ xnodes, ynodes ] )
# prepare bases
ns.cbasis, ns.mubasis = function.chain([
domain.basis('spline', degree=2),
domain.basis('spline', degree=2)
])
# polulate namespace
ns.c = 'cbasis_n ?lhs_n'
ns.c0 = 'cbasis_n ?lhs0_n'
ns.mu = 'mubasis_n ?lhs_n'
ns.f = '(6 c0 - 2 c0^3 - 4 c) / epsilon^2'
# construct initial condition
if init == 'random':
numpy.random.seed(0)
lhs0 = numpy.random.normal(0, .5, ns.cbasis.shape)
elif init == 'bubbles':
R1 = .25
R2 = numpy.sqrt(.5) * R1 # area2 = .5 * area1
ns.cbubble1 = function.tanh((R1-function.norm2(ns.x-(.5+R2/numpy.sqrt(2)+.8*ns.epsilon)))/ns.epsilon)
ns.cbubble2 = function.tanh((R2-function.norm2(ns.x-(.5-R1/numpy.sqrt(2)-.8*ns.epsilon)))/ns.epsilon)
sqr = domain.integral('(c - cbubble1 - cbubble2 - 1)^2 + mu^2' @ ns, geometry=ns.x, degree=4)
lhs0 = solver.optimize('lhs', sqr)
else:
raise Exception( 'unknown init %r' % init )
# construct residual
res = domain.integral('epsilon^2 cbasis_n,k mu_,k + mubasis_n (mu + f) - mubasis_n,k c_,k' @ ns, geometry=ns.x, degree=4)
res -= domain.boundary.integral('mubasis_n ewall' @ ns, geometry=ns.x, degree=4)
inertia = domain.integral('cbasis_n c' @ ns, geometry=ns.x, degree=4)
# solve time dependent problem
nsteps = numeric.round(maxtime/timestep)
makeplots = MakePlots(domain, nsteps, ns) if withplots else lambda *args: None
for istep, lhs in log.enumerate('timestep', solver.impliciteuler('lhs', target0='lhs0', residual=res, inertia=inertia, timestep=timestep, lhs0=lhs0)):
makeplots(lhs)
if istep == nsteps:
break
return lhs0, lhs
