/usr/lib/python2.7/dist-packages/PySPH-1.0a4.dev0-py2.7-linux-x86_64.egg/pysph/examples/_db_geometry.py is in python-pysph 0~20160514.git91867dc-4build1.
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PySPH used an axis convention as follows:
Y
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"""
import numpy
from numpy import concatenate, where, array
from pysph.base.utils import get_particle_array_wcsph, get_particle_array_iisph
def create_2D_tank(x1,y1,x2,y2,dx):
""" Generate an open rectangular tank.
Parameters:
-----------
x1,y1,x2,y2 : Coordinates defining the rectangle in 2D
dx : The spacing to use
"""
yl = numpy.arange(y1, y2+dx/2, dx)
xl = numpy.ones_like(yl) * x1
nl = len(xl)
yr = numpy.arange(y1,y2+dx/2, dx)
xr = numpy.ones_like(yr) * x2
nr = len(xr)
xb = numpy.arange(x1+dx, x2-dx+dx/2, dx)
yb = numpy.ones_like(xb) * y1
nb = len(xb)
x = numpy.concatenate( [xl, xb, xr] )
y = numpy.concatenate( [yl, yb, yr] )
return x, y
def create_2D_filled_region(x1, y1, x2, y2, dx):
x,y = numpy.mgrid[x1:x2+dx/2:dx, y1:y2+dx/2:dx]
x = x.ravel(); y = y.ravel()
return x, y
def create_obstacle(x1, x2, height, dx):
eps = 1e-6
# left inside wall
yli = numpy.arange( dx/2.0, height + eps, dx )
xli = numpy.ones_like(yli) * x1
# left outside wall
ylo = numpy.arange( dx, height + dx/2.0 + eps, dx )
xlo = numpy.ones_like( ylo ) * x1 - dx/2.0
# # right inside wal
# yri = numpy.arange( dx/2.0, height + eps, dx )
# xri = numpy.ones_like(yri) * x2
# # right outter wall
# yro = numpy.arange( dx, height + dx/2.0 + eps, dx )
# xro = numpy.ones_like(yro) * x2 + dx/2.0
# concatenate the arrays
x = numpy.concatenate( (xli, xlo) )
y = numpy.concatenate( (yli, ylo) )
return x, y
class DamBreak2DGeometry(object):
def __init__(self, container_width=4.0, container_height=3.0,
fluid_column_width=1.0, fluid_column_height=2.0,
dx=0.03, dy=0.03, nboundary_layers=4,
ro=1000.0, co=1.0, with_obstacle=False,
beta=1.0, nfluid_offset=2, hdx=1.5, iisph=False):
self.container_width = container_width
self.container_height = container_height
self.fluid_column_height = fluid_column_height
self.fluid_column_width = fluid_column_width
self.nboundary_layers=nboundary_layers
self.nfluid_offset=nfluid_offset
self.beta = beta
self.hdx = hdx
self.dx = dx
self.dy = dy
self.iisph = iisph
self.nsolid = 0
self.nfluid = 0
self.ro=ro
self.co=co
self.with_obstacle = with_obstacle
def get_wall(self, nboundary_layers=4):
container_width = self.container_width
container_height = self.container_height
dx, dy = self.dx/self.beta, self.dy/self.beta
_x = []; _y = []
for i in range(nboundary_layers):
xb, yb = create_2D_tank(
x1=-0.5*i*dx, y1=-0.5*i*dy,
x2=container_width+0.5*i*dx, y2=container_height, dx=dx)
_x.append(xb); _y.append(yb)
x = numpy.concatenate(_x); y = numpy.concatenate(_y)
self.nsolid = len(x)
return x, y
def get_fluid(self, noffset=2):
fluid_column_width = self.fluid_column_width
fluid_column_height = self.fluid_column_height
dx, dy = self.dx, self.dy
_x = []; _y = []
for i in range(noffset):
ii = i+1
xf, yf = create_2D_filled_region(
x1 = dx-0.5*i*dx, y1 = dx-0.5*i*dx,
#x1=0.5*ii*dx, y1=0.5*ii*dx,
x2=fluid_column_width+0.5*i*dx, y2=fluid_column_height,
dx=dx)
_x.append(xf); _y.append(yf)
x = numpy.concatenate(_x); y = numpy.concatenate(_y)
self.nfluid = len(x)
return x, y
def create_particles(self, nboundary_layers=2, nfluid_offset=2,
hdx=1.5, **kwargs):
nfluid = self.nfluid
xf, yf = self.get_fluid(nfluid_offset)
if self.iisph:
fluid = get_particle_array_iisph(name='fluid', x=xf, y=yf)
else:
fluid = get_particle_array_wcsph(name='fluid', x=xf, y=yf)
fluid.gid[:] = list(range(fluid.get_number_of_particles()))
np = nfluid
xb, yb = self.get_wall(nboundary_layers)
if self.iisph:
boundary = get_particle_array_iisph(name='boundary', x=xb, y=yb)
else:
boundary = get_particle_array_wcsph(name='boundary', x=xb, y=yb)
np += boundary.get_number_of_particles()
dx, dy, ro = self.dx, self.dy, self.ro
# smoothing length, mass and density
fluid.h[:] = numpy.ones_like(xf) * hdx * dx
if nfluid_offset == 2:
fluid.m[:] = dx * dy * ro * 0.5
else:
fluid.m[:] = dx * dy * ro
fluid.rho[:] = ro
if not self.iisph:
fluid.rho0[:] = ro
boundary.h[:] = numpy.ones_like(xb) * hdx * dx
if nboundary_layers == 2:
boundary.m[:] = dx * dy * ro * 0.5
else:
boundary.m[:] = dx * dy * ro
boundary.rho[:] = ro
if not self.iisph:
boundary.rho0[:] = ro
# create the particles list
particles = [fluid, boundary]
if self.with_obstacle:
xo, yo = create_obstacle( x1=2.5, x2=2.5+dx, height=0.25, dx=dx )
gido = numpy.array( list(range(xo.size)), dtype=numpy.uint32 )
obstacle = get_particle_array_wcsph(name='obstacle',x=xo, y=yo)
obstacle.h[:] = numpy.ones_like(xo) * hdx * dx
obstacle.m[:] = dx * dy * 0.5 * ro
obstacle.rho[:] = ro
if not self.iisph:
obstacle.rho0[:] = ro
# add the obstacle to the boundary particles
boundary.append_parray( obstacle )
np += obstacle.get_number_of_particles()
# set the gid for the boundary particles
boundary.gid[:] = list(range( boundary.get_number_of_particles()))
# boundary particles can do with a reduced list of properties
# to be saved to disk since they are fixed
boundary.set_output_arrays( ['x', 'y', 'rho', 'm', 'h', 'p', 'tag', 'pid', 'gid'] )
if self.iisph:
boundary.add_output_arrays(['V'])
print("2D dam break with %d fluid, %d boundary particles"%(
fluid.get_number_of_particles(),
boundary.get_number_of_particles()))
return particles
from pyzoltan.core.carray import LongArray
class DamBreak3DGeometry(object):
def __init__(
self, container_height=1.0, container_width=1.0, container_length=3.22,
fluid_column_height=0.55, fluid_column_width=1.0, fluid_column_length=1.228,
obstacle_center_x=2.5, obstacle_center_y=0,
obstacle_length=0.16, obstacle_height=0.161, obstacle_width=0.4,
nboundary_layers=5, with_obstacle=True, dx=0.02, hdx=1.2, rho0=1000.0):
# save the geometry details
self.container_width = container_width
self.container_length = container_length
self.container_height = container_height
self.fluid_column_length=fluid_column_length
self.fluid_column_width=fluid_column_width
self.fluid_column_height=fluid_column_height
self.obstacle_center_x = obstacle_center_x
self.obstacle_center_y = obstacle_center_y
self.obstacle_width=obstacle_width
self.obstacle_length=obstacle_length
self.obstacle_height=obstacle_height
self.nboundary_layers=nboundary_layers
self.dx=dx
self.hdx = hdx
self.rho0 = rho0
self.with_obstacle = with_obstacle
def get_max_speed(self, g=9.81):
return numpy.sqrt( 2 * g * self.fluid_column_height )
def create_particles(self, **kwargs):
fluid_column_height=self.fluid_column_height
fluid_column_width=self.fluid_column_width
fluid_column_length=self.fluid_column_length
container_height = self.container_height
container_length = self.container_length
container_width = self.container_width
obstacle_height = self.obstacle_height
obstacle_length = self.obstacle_length
obstacle_width = self.obstacle_width
obstacle_center_x = self.obstacle_center_x
obstacle_center_y = self.obstacle_center_y
nboundary_layers = self.nboundary_layers
dx = self.dx
# get the domain limits
ghostlims = nboundary_layers * dx
xmin, xmax = 0.0 -ghostlims, container_length + ghostlims
zmin, zmax = 0.0 - ghostlims, container_height + ghostlims
cw2 = 0.5 * container_width
ymin, ymax = -cw2 - ghostlims, cw2 + ghostlims
# create all particles
eps = 0.1 * dx
xx, yy, zz = numpy.mgrid[xmin:xmax+eps:dx,
ymin:ymax+eps:dx,
zmin:zmax+eps:dx]
x = xx.ravel(); y = yy.ravel(); z = zz.ravel()
# create a dummy particle array from which we'll sort
pa = get_particle_array_wcsph(name='block', x=x, y=y, z=z)
# get the individual arrays
indices = []
findices = []
oindices = []
obw2 = 0.5 * obstacle_width
obl2 = 0.5 * obstacle_length
obh = obstacle_height
ocx = obstacle_center_x
ocy = obstacle_center_y
for i in range(x.size):
xi = x[i]; yi = y[i]; zi = z[i]
# fluid
if ( (0 < xi <= fluid_column_length) and \
(-cw2 < yi < cw2) and \
(0 < zi <= fluid_column_height) ):
findices.append(i)
# obstacle
if ( (ocx-obl2 <= xi <= ocx+obl2) and \
(ocy-obw2 <= yi <= ocy+obw2) and \
(0 < zi <= obh) ):
oindices.append(i)
# extract the individual arrays
fa = LongArray(len(findices)); fa.set_data(numpy.array(findices))
fluid = pa.extract_particles(fa)
fluid.set_name('fluid')
if self.with_obstacle:
oa = LongArray(len(oindices)); oa.set_data(numpy.array(oindices))
obstacle = pa.extract_particles(oa)
obstacle.set_name('obstacle')
indices = concatenate( (where( y <= -cw2 )[0],
where( y >= cw2 )[0],
where( x >= container_length )[0],
where( x <= 0 )[0],
where( z <= 0 )[0]) )
# remove duplicates
indices = array(list(set(indices)))
wa = LongArray(indices.size); wa.set_data(indices)
boundary = pa.extract_particles(wa)
boundary.set_name('boundary')
# create the particles
if self.with_obstacle:
particles = [fluid, boundary, obstacle]
else:
particles = [fluid, boundary]
# set up particle properties
h0 = self.hdx * dx
volume = dx**3
m0 = self.rho0 * volume
for pa in particles:
pa.m[:] = m0
pa.h[:] = h0
pa.rho[:] = self.rho0
nf = fluid.num_real_particles
nb = boundary.num_real_particles
if self.with_obstacle:
no = obstacle.num_real_particles
print("3D dam break with %d fluid, %d boundary, %d obstacle particles"%(nf, nb, no))
else:
print("3D dam break with %d fluid, %d boundary particles"%(nf, nb))
# load balancing props for the arrays
#fluid.set_lb_props(['x', 'y', 'z', 'u', 'v', 'w', 'rho', 'h', 'm', 'gid',
# 'x0', 'y0', 'z0', 'u0', 'v0', 'w0', 'rho0'])
fluid.set_lb_props( list(fluid.properties.keys()) )
#boundary.set_lb_props(['x', 'y', 'z', 'rho', 'h', 'm', 'gid', 'rho0'])
#obstacle.set_lb_props(['x', 'y', 'z', 'rho', 'h', 'm', 'gid', 'rho0'])
boundary.set_lb_props( list(boundary.properties.keys()) )
# boundary and obstacle particles can do with a reduced list of properties
# to be saved to disk since they are fixed
boundary.set_output_arrays( ['x', 'y', 'z', 'rho', 'm', 'h', 'p', 'tag', 'pid', 'gid'] )
if self.with_obstacle:
obstacle.set_lb_props( list(obstacle.properties.keys()) )
obstacle.set_output_arrays( ['x', 'y', 'z', 'rho', 'm', 'h', 'p', 'tag', 'pid', 'gid'] )
return particles
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