def __call__(self, lhs):
angle = self.index * self.timestep * self.rotation
ns = self.ns(lhs=lhs)
x, u, normu, p = self.plotdomain.elem_eval(
[ns.x, ns.u, function.norm2(ns.u), ns.p],
ischeme='bezier9',
separate=True)
with plot.PyPlot('flow', index=self.index) as plt:
plt.axes([0, 0, 1, 1], yticks=[], xticks=[], frame_on=False)
tri = plt.mesh(x, normu, mergetol=1e-5, cmap='jet')
plt.clim(0, 1.5)
plt.tricontour(tri,
p,
every=self.every,
cmap='gray',
linestyles='solid',
alpha=.8)
uv = plot.interpolate(tri, self.xy, u)
plt.vectors(self.xy, uv, zorder=9, pivot='mid', stems=False)
plt.plot(0,
0,
'k',
marker=(3, 2, angle * 180 / numpy.pi - 90),
markersize=20)
plt.xlim(self.bbox[0])
plt.ylim(self.bbox[1])
self.xy = util.regularize(self.bbox, self.spacing,
self.xy + uv * self.timestep)
self.index += 1
def __init__( self, domain, geom, timestep, bbox=((-2,6),(-3,3)), video=False ): self.bbox = numpy.asarray(bbox) self.plotdomain = domain.select( function.piecewise( geom[0], self.bbox[0], 0, 1, 0 ) * function.piecewise( geom[1], self.bbox[1], 0, 1, 0 ), 'bezier3' ) self.geom = geom self.plt = video and plot.PyPlotVideo( 'flow' ) self.every = .01 self.index = 0 self.timestep = timestep self.spacing = .075 self.xy = util.regularize( self.bbox, self.spacing )
def __call__( self, velo, pres, angle ):
self.index += 1
points, velo, flow, pres = self.plotdomain.elem_eval( [ self.geom, velo, function.norm2(velo), pres ], ischeme='bezier9', separate=True )
with self.plt if self.plt else plot.PyPlot( 'flow', index=self.index ) as plt:
plt.axes( [0,0,1,1], yticks=[], xticks=[], frame_on=False )
tri = plt.mesh( points, flow, mergetol=1e-5 )
plt.clim( 0, 1.5 )
plt.tricontour( tri, pres, every=self.every, cmap='gray', linestyles='solid', alpha=.8 )
uv = plot.interpolate( tri, self.xy, velo )
plt.vectors( self.xy, uv, zorder=9, pivot='mid', stems=False )
plt.plot( 0, 0, 'k', marker=(3,2,angle*180/numpy.pi-90), markersize=20 )
plt.xlim( self.bbox[0] )
plt.ylim( self.bbox[1] )
self.xy = util.regularize( self.bbox, self.spacing, self.xy + uv * self.timestep )
def __init__(self, domain, ns, timestep, rotation, bbox=((-2,6),(-3,3))):
self.bbox = numpy.asarray(bbox)
self.plotdomain = domain.select(function.min(*(ns.x-self.bbox[:,0])*(self.bbox[:,1]-ns.x)), 'bezier3')
self.ns = ns
self.every = .01
self.index = 0
self.timestep = timestep
self.rotation = rotation
self.spacing = .075
self.xy = util.regularize(self.bbox, self.spacing)
x = domain.elem_eval(ns.x, ischeme='bezier5', separate=True)
inflow = domain.boundary['inflow'].elem_eval(ns.x, ischeme='bezier5', separate=True)
with plot.PyPlot('mesh', ndigits=0) as plt:
plt.mesh(x)
plt.rectangle(self.bbox[:,0], *(self.bbox[:,1] - self.bbox[:,0]), ec='green')
plt.segments(inflow, colors='red')
def __init__(self, domain, ns, timestep, rotation, bbox=((-2,6),(-3,3))):
self.bbox = numpy.asarray(bbox)
self.plotdomain = domain.select(function.min(*(ns.x-self.bbox[:,0])*(self.bbox[:,1]-ns.x)), 'bezier3')
self.ns = ns
self.every = .01
self.index = 0
self.timestep = timestep
self.rotation = rotation
self.spacing = .075
self.xy = util.regularize(self.bbox, self.spacing)
x = domain.elem_eval(ns.x, ischeme='bezier5', separate=True)
inflow = domain.boundary['inflow'].elem_eval(ns.x, ischeme='bezier5', separate=True)
with plot.PyPlot('mesh', ndigits=0) as plt:
plt.mesh(x)
plt.rectangle(self.bbox[:,0], *(self.bbox[:,1] - self.bbox[:,0]), ec='green')
plt.segments(inflow, colors='red')
def __call__(self, lhs):
angle = self.index * self.timestep * self.rotation
ns = self.ns(lhs=lhs)
x, u, normu, p = self.plotdomain.elem_eval([ns.x, ns.u, function.norm2(ns.u), ns.p], ischeme='bezier9', separate=True)
with plot.PyPlot('flow', index=self.index) as plt:
plt.axes([0,0,1,1], yticks=[], xticks=[], frame_on=False)
tri = plt.mesh(x, normu, mergetol=1e-5, cmap='jet')
plt.clim(0, 1.5)
plt.tricontour(tri, p, every=self.every, cmap='gray', linestyles='solid', alpha=.8)
uv = plot.interpolate(tri, self.xy, u)
plt.vectors(self.xy, uv, zorder=9, pivot='mid', stems=False)
plt.plot(0, 0, 'k', marker=(3,2,angle*180/numpy.pi-90), markersize=20)
plt.xlim(self.bbox[0])
plt.ylim(self.bbox[1])
self.xy = util.regularize(self.bbox, self.spacing, self.xy + uv * self.timestep)
self.index += 1
def main(nelems: int, degree: int, reynolds: float, rotation: float,
timestep: float, maxradius: float, seed: int, endtime: float):
'''
Flow around a cylinder.
.. arguments::
nelems [24]
Element size expressed in number of elements along the cylinder wall.
All elements have similar shape with approximately unit aspect ratio,
with elements away from the cylinder wall growing exponentially.
degree [3]
Polynomial degree for velocity space; the pressure space is one degree
less.
reynolds [1000]
Reynolds number, taking the cylinder radius as characteristic length.
rotation [0]
Cylinder rotation speed.
timestep [.04]
Time step
maxradius [25]
Target exterior radius; the actual domain size is subject to integer
multiples of the configured element size.
seed [0]
Random seed for small velocity noise in the intial condition.
endtime [inf]
Stopping time.
'''
elemangle = 2 * numpy.pi / nelems
melems = int(numpy.log(2 * maxradius) / elemangle + .5)
treelog.info('creating {}x{} mesh, outer radius {:.2f}'.format(
melems, nelems, .5 * numpy.exp(elemangle * melems)))
domain, geom = mesh.rectilinear([melems, nelems], periodic=(1, ))
domain = domain.withboundary(inner='left', outer='right')
ns = function.Namespace()
ns.uinf = 1, 0
ns.r = .5 * function.exp(elemangle * geom[0])
ns.Re = reynolds
ns.phi = geom[1] * elemangle # add small angle to break element symmetry
ns.x_i = 'r <cos(phi), sin(phi)>_i'
ns.J = ns.x.grad(geom)
ns.unbasis, ns.utbasis, ns.pbasis = function.chain([ # compatible spaces
domain.basis(
'spline', degree=(degree, degree - 1), removedofs=((0, ), None)),
domain.basis('spline', degree=(degree - 1, degree)),
domain.basis('spline', degree=degree - 1),
]) / function.determinant(ns.J)
ns.ubasis_ni = 'unbasis_n J_i0 + utbasis_n J_i1' # piola transformation
ns.u_i = 'ubasis_ni ?lhs_n'
ns.p = 'pbasis_n ?lhs_n'
ns.sigma_ij = '(u_i,j + u_j,i) / Re - p δ_ij'
ns.h = .5 * elemangle
ns.N = 5 * degree / ns.h
ns.rotation = rotation
ns.uwall_i = '0.5 rotation <-sin(phi), cos(phi)>_i'
inflow = domain.boundary['outer'].select(
-ns.uinf.dotnorm(ns.x),
ischeme='gauss1') # upstream half of the exterior boundary
sqr = inflow.integral('(u_i - uinf_i) (u_i - uinf_i)' @ ns,
degree=degree * 2)
cons = solver.optimize(
'lhs', sqr, droptol=1e-15) # constrain inflow semicircle to uinf
sqr = domain.integral('(u_i - uinf_i) (u_i - uinf_i) + p^2' @ ns,
degree=degree * 2)
lhs0 = solver.optimize('lhs', sqr) # set initial condition to u=uinf, p=0
numpy.random.seed(seed)
lhs0 *= numpy.random.normal(1, .1, lhs0.shape) # add small velocity noise
res = domain.integral(
'(ubasis_ni u_i,j u_j + ubasis_ni,j sigma_ij + pbasis_n u_k,k) d:x'
@ ns,
degree=9)
res += domain.boundary['inner'].integral(
'(N ubasis_ni - (ubasis_ni,j + ubasis_nj,i) n_j) (u_i - uwall_i) d:x / Re'
@ ns,
degree=9)
inertia = domain.integral('ubasis_ni u_i d:x' @ ns, degree=9)
bbox = numpy.array(
[[-2, 46 / 9],
[-2, 2]]) # bounding box for figure based on 16x9 aspect ratio
bezier0 = domain.sample('bezier', 5)
bezier = bezier0.subset((bezier0.eval(
(ns.x - bbox[:, 0]) * (bbox[:, 1] - ns.x)) > 0).all(axis=1))
interpolate = util.tri_interpolator(
bezier.tri, bezier.eval(ns.x),
mergetol=1e-5) # interpolator for quivers
spacing = .05 # initial quiver spacing
xgrd = util.regularize(bbox, spacing)
with treelog.iter.plain(
'timestep',
solver.impliciteuler('lhs',
residual=res,
inertia=inertia,
lhs0=lhs0,
timestep=timestep,
constrain=cons,
newtontol=1e-10)) as steps:
for istep, lhs in enumerate(steps):
t = istep * timestep
x, u, normu, p = bezier.eval(
['x_i', 'u_i', 'sqrt(u_k u_k)', 'p'] @ ns, lhs=lhs)
ugrd = interpolate[xgrd](u)
with export.mplfigure('flow.png', figsize=(12.8, 7.2)) as fig:
ax = fig.add_axes([0, 0, 1, 1],
yticks=[],
xticks=[],
frame_on=False,
xlim=bbox[0],
ylim=bbox[1])
im = ax.tripcolor(x[:, 0],
x[:, 1],
bezier.tri,
p,
shading='gouraud',
cmap='jet')
import matplotlib.collections
ax.add_collection(
matplotlib.collections.LineCollection(x[bezier.hull],
colors='k',
linewidths=.1,
alpha=.5))
ax.quiver(xgrd[:, 0],
xgrd[:, 1],
ugrd[:, 0],
ugrd[:, 1],
angles='xy',
width=1e-3,
headwidth=3e3,
headlength=5e3,
headaxislength=2e3,
zorder=9,
alpha=.5)
ax.plot(0,
0,
'k',
marker=(3, 2, t * rotation * 180 / numpy.pi - 90),
markersize=20)
cax = fig.add_axes([0.9, 0.1, 0.01, 0.8])
cax.tick_params(labelsize='large')
fig.colorbar(im, cax=cax)
if t >= endtime:
break
xgrd = util.regularize(bbox, spacing, xgrd + ugrd * timestep)
return lhs0, lhs
