From 4c4cde3e9547d077c6c4db8a38a8e19c05a62b73 Mon Sep 17 00:00:00 2001
From: David Seus <david.seus@ians.uni-stuttgart.de>
Date: Fri, 16 Aug 2019 15:23:35 +0200
Subject: [PATCH] fix weird git fuckug
---
.../TP-TP-layered_soil_with_inner_patch.py | 453 +++++++++---------
1 file changed, 232 insertions(+), 221 deletions(-)
diff --git a/TP-TP-layered-soil-case-with-inner-patch/TP-TP-layered_soil_with_inner_patch.py b/TP-TP-layered-soil-case-with-inner-patch/TP-TP-layered_soil_with_inner_patch.py
index 868fd4f..1e5e0a6 100755
--- a/TP-TP-layered-soil-case-with-inner-patch/TP-TP-layered_soil_with_inner_patch.py
+++ b/TP-TP-layered-soil-case-with-inner-patch/TP-TP-layered_soil_with_inner_patch.py
@@ -16,57 +16,60 @@ import typing as tp
import functools as ft
import domainPatch as dp
import LDDsimulation as ldd
+import helpers as hlp
# init sympy session
sym.init_printing()
-# ----------------------------------------------------------------------------#
-# ------------------- MESH ---------------------------------------------------#
-# ----------------------------------------------------------------------------#
+use_case = "TP-TP-layered-soil-with-inner-patch"
+solver_tol = 1E-6
+
+############ GRID #######################ΓΌ
mesh_resolution = 50
-# ----------------------------------------:-----------------------------------#
-# ------------------- TIME ---------------------------------------------------#
-# ----------------------------------------------------------------------------#
-timestep_size = 0.0001
-number_of_timesteps = 50
-# decide how many timesteps you want analysed. Analysed means, that we write
-# out subsequent errors of the L-iteration within the timestep.
-number_of_timesteps_to_analyse = 4
+timestep_size = 0.001
+number_of_timesteps = 1500
+# decide how many timesteps you want analysed. Analysed means, that we write out
+# subsequent errors of the L-iteration within the timestep.
+number_of_timesteps_to_analyse = 10
starttime = 0
-Lw = 10000
-Lnw = 10000
+Lw = 0.25 #/timestep_size
+Lnw=Lw
+
+lambda_w = 41
+lambda_nw = 41
+
+include_gravity = True
+debugflag = False
+analyse_condition = False
+
+output_string = "./output/nondirichlet_number_of_timesteps{}_".format(number_of_timesteps)
-l_param_w = 30
-l_param_nw = 40
# global domain
-subdomain0_vertices = [df.Point(0.0,0.0), #
- df.Point(13.0,0.0),#
- df.Point(13.0,8.0),#
- df.Point(0.0,8.0)]
+subdomain0_vertices = [df.Point(-1.0,-1.0), #
+ df.Point(1.0,-1.0),#
+ df.Point(1.0,1.0),#
+ df.Point(-1.0,1.0)]
-interface12_vertices = [df.Point(0.0, 7.0),
- df.Point(9.0, 7.0),
- df.Point(10.5, 7.5),
- df.Point(12.0, 7.0),
- df.Point(13.0, 6.5)]
+interface12_vertices = [df.Point(-1.0, 0.8),
+ df.Point(0.3, 0.8),
+ df.Point(0.5, 0.9),
+ df.Point(0.8, 0.7),
+ df.Point(1.0, 0.65)]
-# interface23
-interface23_vertices = [df.Point(0.0, 5.0),
- df.Point(3.0, 5.0),
+ # interface23
+interface23_vertices = [df.Point(-1.0, 0.0),
+ df.Point(-0.35, 0.0),
# df.Point(6.5, 4.5),
- df.Point(6.5, 5.0)]
+ df.Point(0.0, 0.0)]
-interface24_vertices = [df.Point(6.5, 5.0),
- df.Point(9.5, 5.0),
- # df.Point(11.5, 3.5),
- # df.Point(13.0, 3)
- df.Point(11.5, 5.0)
+interface24_vertices = [interface23_vertices[2],
+ df.Point(0.6, 0.0),
]
-interface25_vertices = [df.Point(11.5, 5.0),
- df.Point(13.0, 5.0)
+interface25_vertices = [interface24_vertices[1],
+ df.Point(1.0, 0.0)
]
@@ -74,26 +77,72 @@ interface32_vertices = [interface23_vertices[2],
interface23_vertices[1],
interface23_vertices[0]]
-interface34_vertices = [df.Point(4.0, 2.0),
- df.Point(4.7, 3.0),
- interface23_vertices[2]]
-# interface36
-interface36_vertices = [df.Point(0.0, 2.0),
- df.Point(4.0, 2.0)]
+
+interface36_vertices = [df.Point(-1.0, -0.6),
+ df.Point(-0.6, -0.45)]
-interface46_vertices = [df.Point(4.0, 2.0),
- df.Point(9.0, 2.5)]
+interface46_vertices = [interface36_vertices[1],
+ df.Point(0.3, -0.25)]
+
+interface56_vertices = [interface46_vertices[1],
+ df.Point(0.65, -0.6),
+ df.Point(1.0, -0.7)]
+
+
+
+
+interface34_vertices = [interface36_vertices[1],
+ interface23_vertices[2]]
+# interface36
-interface45_vertices = [df.Point(9.0, 2.5),
- df.Point(10.0, 3.0),
+interface45_vertices = [interface56_vertices[0],
+ df.Point(0.7, -0.2),
interface25_vertices[0]
]
-interface56_vertices = [df.Point(9.0, 2.5),
- df.Point(10.5, 2.0),
- df.Point(13.0, 1.5)]
+# # subdomain1.
+# subdomain1_vertices = [interface12_vertices[0],
+# interface12_vertices[1],
+# interface12_vertices[2],
+# interface12_vertices[3],
+# interface12_vertices[4], # southern boundary, 12 interface
+# subdomain0_vertices[2], # eastern boundary, outer boundary
+# subdomain0_vertices[3]] # northern boundary, outer on_boundary
+#
+# # vertex coordinates of the outer boundaries. If it can not be specified as a
+# # polygon, use an entry per boundary polygon. This information is used for defining
+# # the Dirichlet boundary conditions. If a domain is completely internal, the
+# # dictionary entry should be 0: None
+# subdomain1_outer_boundary_verts = {
+# 0: [interface12_vertices[4], #
+# subdomain0_vertices[2], # eastern boundary, outer boundary
+# subdomain0_vertices[3],
+# interface12_vertices[0]]
+# }
+#
+
+# #subdomain1
+# subdomain2_vertices = [interface23_vertices[0],
+# interface23_vertices[1],
+# interface23_vertices[2],
+# interface23_vertices[3],
+# interface23_vertices[4],
+# interface23_vertices[5], # southern boundary, 23 interface
+# subdomain1_vertices[4], # eastern boundary, outer boundary
+# subdomain1_vertices[3],
+# subdomain1_vertices[2],
+# subdomain1_vertices[1],
+# subdomain1_vertices[0] ] # northern boundary, 12 interface
+#
+# subdomain2_outer_boundary_verts = {
+# 0: [interface23_vertices[5],
+# subdomain1_vertices[4]],
+# 1: [subdomain1_vertices[0],
+# interface23_vertices[0]]
+# }
+#
# interface_vertices introduces a global numbering of interfaces.
interface_def_points = [interface12_vertices,
@@ -131,10 +180,10 @@ subdomain1_vertices = [interface12_vertices[0],
# the Dirichlet boundary conditions. If a domain is completely internal, the
# dictionary entry should be 0: None
subdomain1_outer_boundary_verts = {
- 0: [interface12_vertices[4], #
- subdomain0_vertices[2], # eastern boundary, outer boundary
- subdomain0_vertices[3],
- interface12_vertices[0]]
+ 0: [subdomain1_vertices[4], #
+ subdomain1_vertices[5], # eastern boundary, outer boundary
+ subdomain1_vertices[6],
+ subdomain1_vertices[0]]
}
#subdomain1
@@ -142,7 +191,6 @@ subdomain2_vertices = [interface23_vertices[0],
interface23_vertices[1],
interface23_vertices[2],
interface24_vertices[1],
- interface24_vertices[2],
interface25_vertices[1], # southern boundary, 23 interface
subdomain1_vertices[4], # eastern boundary, outer boundary
subdomain1_vertices[3],
@@ -151,10 +199,10 @@ subdomain2_vertices = [interface23_vertices[0],
subdomain1_vertices[0] ] # northern boundary, 12 interface
subdomain2_outer_boundary_verts = {
- 0: [interface25_vertices[1],
- subdomain1_vertices[4]],
- 1: [subdomain1_vertices[0],
- interface23_vertices[0]]
+ 0: [subdomain2_vertices[9],
+ subdomain2_vertices[0]],
+ 1: [subdomain2_vertices[4],
+ subdomain2_vertices[5]]
}
@@ -162,14 +210,13 @@ subdomain3_vertices = [interface36_vertices[0],
interface36_vertices[1],
# interface34_vertices[0],
interface34_vertices[1],
- interface34_vertices[2],
# interface32_vertices[0],
interface32_vertices[1],
interface32_vertices[2]
]
subdomain3_outer_boundary_verts = {
- 0: [subdomain2_vertices[0],
+ 0: [subdomain3_vertices[4],
subdomain3_vertices[0]]
}
@@ -177,8 +224,7 @@ subdomain3_outer_boundary_verts = {
# subdomain3
subdomain4_vertices = [interface46_vertices[0],
interface46_vertices[1],
- df.Point(10.0, 3.0),
- interface24_vertices[2],
+ interface45_vertices[1],
interface24_vertices[1],
interface24_vertices[0],
interface34_vertices[1]
@@ -212,10 +258,10 @@ subdomain6_vertices = [subdomain0_vertices[0],
]
subdomain6_outer_boundary_verts = {
- 0: [subdomain4_vertices[6],
- subdomain4_vertices[0],
- subdomain4_vertices[1],
- subdomain4_vertices[2]]
+ 0: [subdomain6_vertices[6],
+ subdomain6_vertices[0],
+ subdomain6_vertices[1],
+ subdomain6_vertices[2]]
}
@@ -242,24 +288,25 @@ outer_boundary_def_points = {
6: subdomain6_outer_boundary_verts
}
-# isRichards = {
-# 1: False,
-# 2: False,
-# 3: False,
-# 4: False,
-# 5: False,
-# 6: False
-# }
isRichards = {
- 1: True,
- 2: True,
- 3: True,
- 4: True,
- 5: True,
- 6: True
+ 1: False,
+ 2: False,
+ 3: False,
+ 4: False,
+ 5: False,
+ 6: False
}
+# isRichards = {
+# 1: True,
+# 2: True,
+# 3: True,
+# 4: True,
+# 5: True,
+# 6: True
+# }
+
# Dict of the form: { subdom_num : viscosity }
viscosity = {
1: {'wetting' :1,
@@ -323,18 +370,18 @@ L = {
# subdom_num : lambda parameter for the L-scheme
lambda_param = {
- 1: {'wetting': l_param_w,
- 'nonwetting': l_param_nw},#
- 2: {'wetting': l_param_w,
- 'nonwetting': l_param_nw},#
- 3: {'wetting': l_param_w,
- 'nonwetting': l_param_nw},#
- 4: {'wetting': l_param_w,
- 'nonwetting': l_param_nw},#
- 5: {'wetting': l_param_w,
- 'nonwetting': l_param_nw},#
- 6: {'wetting': l_param_w,
- 'nonwetting': l_param_nw},#
+ 1: {'wetting': lambda_w,
+ 'nonwetting': lambda_nw},#
+ 2: {'wetting': lambda_w,
+ 'nonwetting': lambda_nw},#
+ 3: {'wetting': lambda_w,
+ 'nonwetting': lambda_nw},#
+ 4: {'wetting': lambda_w,
+ 'nonwetting': lambda_nw},#
+ 5: {'wetting': lambda_w,
+ 'nonwetting': lambda_nw},#
+ 6: {'wetting': lambda_w,
+ 'nonwetting': lambda_nw},#
}
@@ -349,31 +396,31 @@ def rel_perm1nw(s):
return (1-s)**2
-# ## relative permeabilty functions on subdomain 2
-# def rel_perm2w(s):
-# # relative permeabilty wetting on subdomain2
-# return s**3
-#
-#
-# def rel_perm2nw(s):
-# # relative permeabilty nonwetting on subdosym.cos(0.8*t - (0.8*x + 1/7*y))main2
-# return (1-s)**2
+## relative permeabilty functions on subdomain 2
+def rel_perm2w(s):
+ # relative permeabilty wetting on subdomain2
+ return s**3
+
+
+def rel_perm2nw(s):
+ # relative permeabilty nonwetting on subdosym.cos(0.8*t - (0.8*x + 1/7*y))main2
+ return (1-s)**3
_rel_perm1w = ft.partial(rel_perm1w)
_rel_perm1nw = ft.partial(rel_perm1nw)
-# _rel_perm2w = ft.partial(rel_perm2w)
-# _rel_perm2nw = ft.partial(rel_perm2nw)
+_rel_perm2w = ft.partial(rel_perm2w)
+_rel_perm2nw = ft.partial(rel_perm2nw)
subdomain1_rel_perm = {
'wetting': _rel_perm1w,#
'nonwetting': _rel_perm1nw
}
-# subdomain2_rel_perm = {
-# 'wetting': _rel_perm2w,#
-# 'nonwetting': _rel_perm2nw
-# }
+subdomain2_rel_perm = {
+ 'wetting': _rel_perm2w,#
+ 'nonwetting': _rel_perm2nw
+}
# _rel_perm3 = ft.partial(rel_perm2)
# subdomain3_rel_perm = subdomain2_rel_perm.copy()
@@ -385,10 +432,10 @@ subdomain1_rel_perm = {
relative_permeability = {
1: subdomain1_rel_perm,
2: subdomain1_rel_perm,
- 3: subdomain1_rel_perm,
- 4: subdomain1_rel_perm,
- 5: subdomain1_rel_perm,
- 6: subdomain1_rel_perm,
+ 3: subdomain2_rel_perm,
+ 4: subdomain2_rel_perm,
+ 5: subdomain2_rel_perm,
+ 6: subdomain2_rel_perm,
}
# definition of the derivatives of the relative permeabilities
@@ -399,22 +446,22 @@ def rel_perm1w_prime(s):
def rel_perm1nw_prime(s):
# relative permeabilty on subdomain1
- return 2*(1-s)
+ return -2*(1-s)
-# # definition of the derivatives of the relative permeabilities
-# # relative permeabilty functions on subdomain 1
-# def rel_perm2w_prime(s):
-# # relative permeabilty on subdomain1
-# return 3*s**2
-#
-# def rel_perm2nw_prime(s):
-# # relative permeabilty on subdomain1
-# return 2*(l_param_w1-s)
+# definition of the derivatives of the relative permeabilities
+# relative permeabilty functions on subdomain 1
+def rel_perm2w_prime(s):
+ # relative permeabilty on subdomain1
+ return 3*s**2
+
+def rel_perm2nw_prime(s):
+ # relative permeabilty on subdomain1
+ return -3*(1-s)**2
_rel_perm1w_prime = ft.partial(rel_perm1w_prime)
_rel_perm1nw_prime = ft.partial(rel_perm1nw_prime)
-# _rel_perm2w_prime = ft.partial(rel_perm2w_prime)
-# _rel_perm2nw_prime = ft.partial(rel_perm2nw_prime)
+_rel_perm2w_prime = ft.partial(rel_perm2w_prime)
+_rel_perm2nw_prime = ft.partial(rel_perm2nw_prime)
subdomain1_rel_perm_prime = {
'wetting': _rel_perm1w_prime,
@@ -422,19 +469,19 @@ subdomain1_rel_perm_prime = {
}
-# subdomain2_rel_perm_prime = {
-# 'wetting': _rel_perm2w_prime,
-# 'nonwetting': _rel_perm2nw_prime
-# }
+subdomain2_rel_perm_prime = {
+ 'wetting': _rel_perm2w_prime,
+ 'nonwetting': _rel_perm2nw_prime
+}
# dictionary of relative permeabilties on all domains.
ka_prime = {
1: subdomain1_rel_perm_prime,
2: subdomain1_rel_perm_prime,
- 3: subdomain1_rel_perm_prime,
- 4: subdomain1_rel_perm_prime,
- 5: subdomain1_rel_perm_prime,
- 6: subdomain1_rel_perm_prime,
+ 3: subdomain2_rel_perm_prime,
+ 4: subdomain2_rel_perm_prime,
+ 5: subdomain2_rel_perm_prime,
+ 6: subdomain2_rel_perm_prime,
}
@@ -546,19 +593,20 @@ sat_pressure_relationship = {
x, y = sym.symbols('x[0], x[1]') # needed by UFL
t = sym.symbols('t', positive=True)
+
p_e_sym = {
- 1: {'wetting': 1.0 - (1.0 + t*t)*(1.0 + (x-6.5)*(x-6.5) + (y-5.0)*(y-5.0)),
- 'nonwetting': - 2 - t*(1 + (y-5.0) + x**2)**2 -sym.sqrt(2+t**2)*(1 + (y-5.0)) },
- 2: {'wetting': 1.0 - (1.0 + t*t)*(1.0 + (x-6.5)*(x-6.5) + (y-5.0)*(y-5.0)),
- 'nonwetting': - 2 - t*(1 + (y-5.0) + x**2)**2 -sym.sqrt(2+t**2)*(1 + (y-5.0)) },
- 3: {'wetting': 1.0 - (1.0 + t*t)*(1.0 + (x-6.5)*(x-6.5)),
- 'nonwetting': - 2 - t*(1 + (y-5.0) + x**2)**2 -sym.sqrt(2+t**2)*(1 + (y-5.0)) },
- 4: {'wetting': 1.0 - (1.0 + t*t)*(1.0 + (x-6.5)*(x-6.5)),
- 'nonwetting': - 2 - t*(1 + (y-5.0) + x**2)**2 -sym.sqrt(2+t**2)*(1 + (y-5.0)) },
- 5: {'wetting': 1.0 - (1.0 + t*t)*(1.0 + (x-6.5)*(x-6.5)),
- 'nonwetting': - 2 - t*(1 + (y-5.0) + x**2)**2 -sym.sqrt(2+t**2)*(1 + (y-5.0)) },
- 6: {'wetting': 1.0 - (1.0 + t*t)*(1.0 + (x-6.5)*(x-6.5)),
- 'nonwetting': - 2 - t*(1 + (y-5.0) + x**2)**2 -sym.sqrt(2+t**2)*(1 + (y-5.0)) },
+ 1: {'wetting': -5.0 - (1.0 + t*t)*(1.0 + x*x + y*y),
+ 'nonwetting': (-1 -t*(1.1 + y + x**2)) },
+ 2: {'wetting': -5.0 - (1.0 + t*t)*(1.0 + x*x + y*y),
+ 'nonwetting': (-1 -t*(1.1 + y + x**2)) },
+ 3: {'wetting': (-5.0 - (1.0 + t*t)*(1.0 + x*x)),
+ 'nonwetting': (-1 -t*(1 + x**2) - sym.sqrt(2+t**2)*(1+y)*y**2) },
+ 4: {'wetting': (-5.0 - (1.0 + t*t)*(1.0 + x*x)),
+ 'nonwetting': (-1 -t*(1 + x**2) - sym.sqrt(2+t**2)*(1+y)*y**2) },
+ 5: {'wetting': (-5.0 - (1.0 + t*t)*(1.0 + x*x)),
+ 'nonwetting': (-1 -t*(1 + x**2) - sym.sqrt(2+t**2)*(1+y)*y**2) },
+ 6: {'wetting': (-5.0 - (1.0 + t*t)*(1.0 + x*x)),
+ 'nonwetting': (-1 -t*(1 + x**2) - sym.sqrt(2+t**2)*(1+y)*y**2) },
# 2: {'wetting': 1.0 - (1.0 + t*t)*(10.0 + x*x + (y-5.0)*(y-5.0)),
# 'nonwetting': - 2 - t*(1 + (y-5.0) + x**2)**2 -sym.sqrt(2+t**2)*(1 + (y-5.0))},
# 3: {'wetting': 1.0 - (1.0 + t*t)*(10.0 + x*x + (y-5.0)*(y-5.0)*3*sym.sin(-2*t+2*x)*sym.sin(1/2*y-1.2*t)),
@@ -576,86 +624,48 @@ p_e_sym = {
# 6: p_e_sym[5]['nonwetting'] - p_e_sym[6]['wetting']
# }
-pc_e_sym = {
- 1: -p_e_sym[1]['wetting'],
- 2: -p_e_sym[2]['wetting'],
- 3: -p_e_sym[3]['wetting'],
- 4: -p_e_sym[4]['wetting'],
- 5: -p_e_sym[5]['wetting'],
- 6: -p_e_sym[6]['wetting']
-}
+# pc_e_sym = {
+# 1: -p_e_sym[1]['wetting'],
+# 2: -p_e_sym[2]['wetting'],
+# 3: -p_e_sym[3]['wetting'],
+# 4: -p_e_sym[4]['wetting'],
+# 5: -p_e_sym[5]['wetting'],
+# 6: -p_e_sym[6]['wetting']
+# }
-# turn above symbolic code into exact solution for dolphin and
-# construct the rhs that matches the above exact solution.
-dtS = dict()
-div_flux = dict()
-source_expression = dict()
-exact_solution = dict()
-initial_condition = dict()
+pc_e_sym = dict()
for subdomain, isR in isRichards.items():
- dtS.update({subdomain: dict()})
- div_flux.update({subdomain: dict()})
- source_expression.update({subdomain: dict()})
- exact_solution.update({subdomain: dict()})
- initial_condition.update({subdomain: dict()})
if isR:
- subdomain_has_phases = ["wetting"]
+ pc_e_sym.update({subdomain: -p_e_sym[subdomain]['wetting']})
else:
- subdomain_has_phases = ["wetting", "nonwetting"]
-
- # conditional for S_pc_prime
- pc = pc_e_sym[subdomain]
- dtpc = sym.diff(pc, t, 1)
- dxpc = sym.diff(pc, x, 1)
- dypc = sym.diff(pc, y, 1)
- S = sym.Piecewise((S_pc_sym[subdomain](pc), pc > 0), (1, True))
- dS = sym.Piecewise((S_pc_sym_prime[subdomain](pc), pc > 0), (0, True))
- for phase in subdomain_has_phases:
- # Turn above symbolic expression for exact solution into c code
- exact_solution[subdomain].update(
- {phase: sym.printing.ccode(p_e_sym[subdomain][phase])}
- )
- # save the c code for initial conditions
- initial_condition[subdomain].update(
- {phase: sym.printing.ccode(p_e_sym[subdomain][phase].subs(t, 0))}
- )
- if phase == "nonwetting":
- dtS[subdomain].update(
- {phase: -porosity[subdomain]*dS*dtpc}
- )
- else:
- dtS[subdomain].update(
- {phase: porosity[subdomain]*dS*dtpc}
- )
- pa = p_e_sym[subdomain][phase]
- dxpa = sym.diff(pa, x, 1)
- dxdxpa = sym.diff(pa, x, 2)
- dypa = sym.diff(pa, y, 1)
- dydypa = sym.diff(pa, y, 2)
- mu = viscosity[subdomain][phase]
- ka = relative_permeability[subdomain][phase]
- dka = ka_prime[subdomain][phase]
- rho = densities[subdomain][phase]
- g = gravity_acceleration
-
- if phase == "nonwetting":
- # x part of div(flux) for nonwetting
- dxdxflux = -1/mu*dka(1-S)*dS*dxpc*dxpa + 1/mu*dxdxpa*ka(1-S)
- # y part of div(flux) for nonwetting
- dydyflux = -1/mu*dka(1-S)*dS*dypc*(dypa - rho*g) \
- + 1/mu*dydypa*ka(1-S)
- else:
- # x part of div(flux) for wetting
- dxdxflux = 1/mu*dka(S)*dS*dxpc*dxpa + 1/mu*dxdxpa*ka(S)
- # y part of div(flux) for wetting
- dydyflux = 1/mu*dka(S)*dS*dypc*(dypa - rho*g) + 1/mu*dydypa*ka(S)
- div_flux[subdomain].update({phase: dxdxflux + dydyflux})
- contructed_rhs = dtS[subdomain][phase] - div_flux[subdomain][phase]
- source_expression[subdomain].update(
- {phase: sym.printing.ccode(contructed_rhs)}
- )
- # print(f"source_expression[{subdomain}][{phase}] =", source_expression[subdomain][phase])
+ pc_e_sym.update({subdomain: p_e_sym[subdomain]['nonwetting']
+ - p_e_sym[subdomain]['wetting']})
+
+
+symbols = {"x": x,
+ "y": y,
+ "t": t}
+# turn above symbolic code into exact solution for dolphin and
+# construct the rhs that matches the above exact solution.
+exact_solution_example = hlp.generate_exact_solution_expressions(
+ symbols=symbols,
+ isRichards=isRichards,
+ symbolic_pressure=p_e_sym,
+ symbolic_capillary_pressure=pc_e_sym,
+ saturation_pressure_relationship=S_pc_sym,
+ saturation_pressure_relationship_prime=S_pc_sym_prime,
+ viscosity=viscosity,
+ porosity=porosity,
+ relative_permeability=relative_permeability,
+ relative_permeability_prime=ka_prime,
+ densities=densities,
+ gravity_acceleration=gravity_acceleration,
+ include_gravity=include_gravity,
+ )
+source_expression = exact_solution_example['source']
+exact_solution = exact_solution_example['exact_solution']
+initial_condition = exact_solution_example['initial_condition']
# Dictionary of dirichlet boundary conditions.
dirichletBC = dict()
@@ -691,8 +701,9 @@ write_to_file = {
}
# initialise LDD simulation class
-simulation = ldd.LDDsimulation(tol=1E-14, debug=True, LDDsolver_tol=1E-6)
-simulation.set_parameters(output_dir="./output/",
+simulation = ldd.LDDsimulation(tol=1E-14, debug=debugflag, LDDsolver_tol=solver_tol)
+simulation.set_parameters(use_case = use_case,
+ output_dir=output_string,
subdomain_def_points=subdomain_def_points,
isRichards=isRichards,
interface_def_points=interface_def_points,
@@ -714,12 +725,12 @@ simulation.set_parameters(output_dir="./output/",
dirichletBC_expression_strings=dirichletBC,
exact_solution=exact_solution,
densities=densities,
- include_gravity=True,
+ include_gravity=include_gravity,
write2file=write_to_file,
)
simulation.initialise()
# print(simulation.__dict__)
-simulation.run()
+simulation.run(analyse_condition=analyse_condition)
# simulation.LDDsolver(time=0, debug=True, analyse_timestep=True)
# df.info(parameters, True)
--
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