def setup_mms(eps=None):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
x, y = sp.symbols('x[0] x[1]')
sigma = sp.Matrix([
sp.sin(sp.pi * x * (1 - x) * y * (1 - y)),
sp.sin(2 * sp.pi * x * (1 - x) * y * (1 - y))
])
sp_div = lambda f: f[0].diff(x, 1) + f[1].diff(y, 1)
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
f = -sp_grad(sp_div(sigma)) + sigma
g = sp.S(0)
sigma_exact = as_expression(sigma)
# It's quite interesting that you get surface divergence as the extra var
p_exact = as_expression(sp_div(-sigma))
f_rhs, g_rhs = map(as_expression, (f, g))
return (sigma_exact, p_exact), (f_rhs, g_rhs)
def setup_mms(eps=None):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
x, y = sp.symbols('x[0] x[1]')
sigma = sp.Matrix([sp.sin(sp.pi*x*(1-x)*y*(1-y)),
sp.sin(2*sp.pi*x*(1-x)*y*(1-y))])
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
sp_div = lambda f: f[0].diff(x, 1) + f[1].diff(y, 1)
# This is a consistent with FEniCS definition
ROT_MAT = sp.Matrix([[sp.S(0), sp.S(1)], [sp.S(-1), sp.S(0)]])
# Maps vector to scalar:
sp_curl = lambda f: sp_div(ROT_MAT*f)
# Maps scalar to vector
sp_rot = lambda f: ROT_MAT*sp_grad(f)
f = sp_rot(sp_curl(sigma)) + sigma
g = sp.S(0)
sigma_exact = as_expression(sigma)
# It's quite nice that you get surface curl as the extra varp
p_exact = as_expression(sp_curl(sigma))
f_rhs, g_rhs = map(as_expression, (f, g))
return (sigma_exact, p_exact), (f_rhs, g_rhs)
def setup_mms(eps):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
pi = sp.pi
x, y, EPS = sp.symbols('x[0] x[1] EPS')
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
u1 = sp.sin(2*pi*x)*sp.sin(2*pi*y) # Zero at bdry, zero grad @ iface
u2 = u1 + 1 # Zero grad @iface
sigma1 = -sp_grad(u1)
sigma2 = -sp_grad(u2)
f1 = -u1.diff(x, 2) - u1.diff(y, 2) + u1
f2 = -u2.diff(x, 2) - u2.diff(y, 2) + u2
g = EPS*(u1 - u2) # + grad(u1).n1 # But the flux is 0
up = map(as_expression, (sigma1, sigma2, u1, u2, u1 - u2))
# The last gut is the u1 trace value but here is is 0
fg = map(as_expression, (f1, f2)) + [as_expression(g, EPS=eps)]
return up, fg
def setup_mms(eps):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
pi = sp.pi
x, y, EPS = sp.symbols('x[0] x[1] EPS')
u1 = sp.cos(2 * pi * (x - 0.25) * (x - 0.75) * (y - 0.25) * (y - 0.75))
u2 = 2 * sp.cos(pi * (x - 0.25) * (x - 0.75) * (y - 0.25) * (y - 0.75))
# Note that u1 is such that grad(u1) is zero on the boudnary so
# p = u1 only
p = u1
f1 = EPS * (-u1.diff(x, 2) - u1.diff(y, 2)) + u1
f2 = -u2.diff(x, 2) - u2.diff(y, 2)
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
# The neumann term
h2 = sp_grad(u2)
# The 'Robin' boundary condition simplifies as grad(u1).n1 = grad(u2).n2 = 0
h = u1 + u2
g = u1 - u2
up = map(as_expression, (u1, u2, p))
fg = [as_expression(f1, EPS=eps[0])] + map(as_expression, (f2, h2, h, g))
return up, fg
def setup_mms(eps):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
pi = sp.pi
x, y, EPS = sp.symbols('x[0] x[1] EPS')
u1 = sp.cos(2*pi*(x-0.25)*(x-0.75)*(y-0.25)*(y-0.75))
u2 = 2*sp.cos(pi*(x-0.25)*(x-0.75)*(y-0.25)*(y-0.75))
# Note that u1 is such that grad(u1) is zero on the boudnary so
# p = u1 only
p = u1
f1 = EPS*(-u1.diff(x, 2) - u1.diff(y, 2)) + u1
f2 = -u2.diff(x, 2) - u2.diff(y, 2)
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
# The neumann term
h2 = sp_grad(u2)
# The 'Robin' boundary condition simplifies as grad(u1).n1 = grad(u2).n2 = 0
h = u1 + u2
g = u1 - u2
up = map(as_expression, (u1, u2, p))
fg = [as_expression(f1, EPS=eps)] + map(as_expression, (f2, h2, h, g))
return up, fg
def setup_mms(eps=None):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
x, y = sp.symbols('x[0], x[1]')
u = sp.cos(sp.pi * x * (1 - x) * y * (1 - y))
f = -u.diff(x, 2) - u.diff(y, 2) + u
x0 = (0.33, 0.66)
# The desired point value is that of u in the point
g = (float(u.subs({x: x0[0], y: x0[1]})), ) * 2
# This means that no stress is needed to enforce it :)
p = np.array([0., 0.])
up = [as_expression((u, u)), p]
fg = [x0, as_expression((f, f)), g]
return up, fg
def setup_mms(eps=None):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
x, y = sp.symbols('x[0], x[1]')
u = sp.cos(sp.pi*x*(1-x)*y*(1-y))
f = -u.diff(x, 2) - u.diff(y, 2) + u
x0 = (0.33, 0.66)
# The desired point value is that of u in the point
g = (float(u.subs({x: x0[0], y: x0[1]})), )*2
# This means that no stress is needed to enforce it :)
p = np.array([0., 0.])
up = [as_expression((u, u)), p]
fg = [x0, as_expression((f, f)), g]
return up, fg
def setup_mms(eps):
'''Simple MMS...'''
from common import as_expression
import sympy as sp
pi = sp.pi
x, y, EPS = sp.symbols('x[0] x[1] EPS')
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
sp_Grad = lambda f: sp.Matrix([[f[0].diff(x, 1), f[0].diff(y, 1)],
[f[1].diff(x, 1), f[1].diff(y, 1)]])
sp_div = lambda f: f[0].diff(x, 1) + f[1].diff(y, 1)
sp_Div = lambda f: sp.Matrix([sp_div(f[0, :]), sp_div(f[1, :])])
u = sp.Matrix(
[sp.sin(pi * y) * sp.cos(pi * x), -sp.cos(pi * y) * sp.sin(pi * x)])
X = -EPS * sp_Grad(u)
# I think the multiplier is the tangential component of X.n
# so now we circulate the boundaries 0
# 1 3
# 2
lambda_ = ((X.subs(y, 1) * sp.Matrix([0, 1]))[0],
(X.subs(x, 0) * sp.Matrix([-1, 0]))[1],
(X.subs(y, 0) * sp.Matrix([0, 1]))[0],
-(X.subs(x, 1) * sp.Matrix([1, 0]))[1])
p = sp.sin(pi * ((x - 0.5)**2 + (y - 0.5)**2))
# EPS * 1./EPS
f = -EPS * sp_Div(sp_Grad(u)) + u - sp_grad(p)
p0 = p
up = [as_expression(u, EPS=eps), as_expression(p, EPS=eps)]
fg = [as_expression(f, EPS=eps), as_expression(p0)]
return up + [[as_expression(l, EPS=eps) for l in lambda_]], fg
def setup_mms(eps):
'''Simple MMS...'''
from common import as_expression
import sympy as sp
pi = sp.pi
x, y, EPS = sp.symbols('x[0] x[1] EPS')
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
sp_Grad = lambda f: sp.Matrix([[f[0].diff(x, 1), f[0].diff(y, 1)],
[f[1].diff(x, 1), f[1].diff(y, 1)]])
sp_div = lambda f: f[0].diff(x, 1) + f[1].diff(y, 1)
sp_Div = lambda f: sp.Matrix([sp_div(f[0, :]), sp_div(f[1, :])])
u = sp.Matrix([sp.sin(pi*y)*sp.cos(pi*x), -sp.cos(pi*y)*sp.sin(pi*x)])
X = -EPS*sp_Grad(u)
# I think the multiplier is the tangential component of X.n
# so now we circulate the boundaries 0
# 1 3
# 2
lambda_ = ((X.subs(y, 1)*sp.Matrix([0, 1]))[0],
(X.subs(x, 0)*sp.Matrix([-1, 0]))[1],
(X.subs(y, 0)*sp.Matrix([0, 1]))[0],
-(X.subs(x, 1)*sp.Matrix([1, 0]))[1])
p = sp.sin(pi*((x-0.5)**2 + (y-0.5)**2))
# EPS * 1./EPS
f = -EPS*sp_Div(sp_Grad(u)) + u - sp_grad(p)
p0 = p
up = [as_expression(u, EPS=eps), as_expression(p, EPS=eps)]
fg = [as_expression(f, EPS=eps), as_expression(p0)]
return up + [[as_expression(l, EPS=eps) for l in lambda_]], fg
def setup_mms(eps=None):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
x, y = sp.symbols('x[0] x[1]')
sigma = sp.Matrix([sp.sin(sp.pi*x*(1-x)*y*(1-y)),
sp.sin(2*sp.pi*x*(1-x)*y*(1-y))])
sp_div = lambda f: f[0].diff(x, 1) + f[1].diff(y, 1)
sp_grad = lambda f: sp.Matrix([f.diff(x, 1), f.diff(y, 1)])
f = -sp_grad(sp_div(sigma)) + sigma
g = sp.S(0)
sigma_exact = as_expression(sigma)
# It's quite interesting that you get surface divergence as the extra var
p_exact = as_expression(sp_div(-sigma))
f_rhs, g_rhs = map(as_expression, (f, g))
return (sigma_exact, p_exact), (f_rhs, g_rhs)
def setup_mms(eps=None):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
x, y = sp.symbols('x[0], x[1]')
u = sp.cos(sp.pi * x * (1 - x) * y * (1 - y))
p = sp.S(0) # Normal stress is the multiplier, here it is zero
f = x + y
g = u
up = list(map(as_expression, (u, p)))
f = as_expression(f)
return up, f
def setup_mms(eps=None):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
x, y = sp.symbols('x[0], x[1]')
u = sp.cos(sp.pi*x*(1-x)*y*(1-y))
p = sp.S(0) # Normal stress is the multiplier, here it is zero
f = x + y
g = u
up = map(as_expression, (u, p))
f = as_expression(f)
return up, f
def setup_mms(eps):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
pi = sp.pi
x, y, EPS = sp.symbols('x[0] x[1] EPS')
u1 = sp.cos(4 * pi * x) * sp.cos(4 * pi * y)
u2 = 2 * u1
f1 = -u1.diff(x, 2) - u1.diff(y, 2) + u1
f2 = -u2.diff(x, 2) - u2.diff(y, 2) + u2
g = (u1 - u2) * EPS
# NOTE: the multiplier is grad(u).n and with the chosen data this
# means that it's zero on the interface
up = map(as_expression, (u1, u2, sp.S(0))) # The flux
f = map(as_expression, (f1, f2))
g = as_expression(g, EPS=eps) # Prevent recompilation
return up, f + [g]
def setup_mms(eps):
'''Simple MMS problem for UnitSquareMesh'''
from common import as_expression
import sympy as sp
pi = sp.pi
x, y, EPS = sp.symbols('x[0] x[1] EPS')
u1 = sp.cos(4*pi*x)*sp.cos(4*pi*y)
u2 = 2*u1
f1 = -u1.diff(x, 2) - u1.diff(y, 2) + u1
f2 = -u2.diff(x, 2) - u2.diff(y, 2) + u2
g = (u1 - u2)*EPS
# NOTE: the multiplier is grad(u).n and with the chosen data this
# means that it's zero on the interface
up = map(as_expression, (u1, u2, sp.S(0))) # The flux
f = map(as_expression, (f1, f2))
g = as_expression(g, EPS=eps) # Prevent recompilation
return up, f+[g]
