示例#1
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def velocities(X, **params):
    v0, v1 = [], []
    for x0 in X:
        setup = Howorka.Setup(x0=x0, **params)
        f, v, dv = velocity_iteration(setup, 6)
        assert np.linalg.norm(1e12*f[-1]) < 1e-3
        #assert np.linalg.norm(dv[-1]) < 1e-3*np.linalg.norm(dv[0])
        v0.append(list(v[0]))
        v1.append(list(v[-1]))
    return dict(v0=v0, v1=v1)
示例#2
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def F_geo_phys(overwrite=False, implicit=False, **params):
    "returns force field and corresponding Geometry, Physics"
    params1 = dict(default)
    params1.update(params)
    if implicit:
        F = forcefieldS1_implicit(overwrite, **params1)
    else:
        F = forcefieldS1_explicit(overwrite, **params1)

    mesh = F.function_space().mesh()
    geo, phys = Howorka.setup2D(mesh=mesh, z0=None, **params1)
    return F, geo, phys
示例#3
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def save_forcefield_implicit(**params):
    F, Fel, Fdrag = Howorka.F_field_implicit(**params)
    mesh = Howorka.geo.mesh
    uid = fields._unique_id()
    FNAME = NAME + uid
    nanopores.save_functions(FNAME,
                             mesh,
                             meta=params,
                             F=F,
                             Fel=Fel,
                             Fdrag=Fdrag)
    fields.save_entries(NAME, params, FNAME=FNAME)
    fields.update()
示例#4
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def boundary_force(mesh=None, rMolecule=0.5, **params):
    geo, phys = Howorka.setup2D(mesh=mesh, z0=None, **params)
    mesh = geo.submesh("fluid")
    geo, phys = Howorka.setup2D(mesh=mesh, z0=None, **params)

    mesh = geo.mesh
    V = FunctionSpace(mesh, "CG", 1)
    v = TestFunction(V)
    u = TrialFunction(V)
    f = Constant(1.0)
    y = Function(V)

    bc = geo.BC(V, Constant(0.), "dnab").bcs

    # Initialization problem to get good initial guess for nonlinear problem:
    F1 = inner(grad(u), grad(v)) * dx - f * v * dx
    solve(lhs(F1) == rhs(F1), y, bc)

    # Stabilized Eikonal equation
    print "max cell size:", mesh.hmax()
    eps = Constant(mesh.hmax() / 25)
    F = sqrt(inner(grad(y), grad(y))) * v * dx - f * v * dx + eps * inner(
        grad(y), grad(v)) * dx
    # also works:
    #F = inner(grad(y), grad(y))*v*dx - f*v*dx + eps*inner(grad(y), grad(v))*dx
    solve(F == 0, y, bc)

    print "Max distance:", y.vector().max()

    U = LinearPotential(rMol=rMolecule)

    class Potential(Expression):
        def eval(self, value, x):
            value[0] = U(y(x))

    U1 = Function(V)
    U1.interpolate(Potential())
    return -phys.grad(U1), U1
示例#5
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def nonzero_velocities_2D(V, **params):
    setup = Howorka.Setup(**params)
    gamma = friction(setup)
    print "friction gamma", gamma
    # determine F(0), only once
    if not 0. in V:
        V.append(0.)
        V.sort()

    F = [None]*len(V)
    i0 = V.index(0.)
    F[i0] = velo2force_2D(0., setup)
    F0 = F[i0]
    print "F(0)", F0

    for i, v in enumerate(V):
        if not i == i0:
            print "\n--- Velocity %d ---" %(i+1,)
            F[i] = velo2force_2D(v, setup)
            print "Velocity", v
            print "Force (exact)", F[i]
            print "Force (linear)", F0 - gamma*v

    return F, gamma, F0
示例#6
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    else:
        return tuple(functions)


def lambda_to_S1(f, mesh, dim=1):
    V = dolfin.FunctionSpace(mesh, "CG", 1)
    if dim > 1:
        V = dolfin.MixedFunctionSpace([V] * dim)
    f1 = dolfin.Function(V)
    value_shape = () if dim == 1 else (dim, )

    class expr(dolfin.Expression):
        def eval(self, value, x):
            value[:] = f(x)

        def value_shape(self):
            return value_shape

    f1.interpolate(expr())
    return f1


if __name__ == "__main__":
    from plot_forcefield import porestreamlines, plt
    F = forcefieldS1(implicit=False, **default)
    Fimp = forcefieldS1(implicit=True, **default)
    porestreamlines(Howorka.polygon(), 6., 8., F=F)  #, Fimp=Fimp)
    fig = plt.figure("F")
    fig.axes[1].set_ylabel("force [N]")
    nanopores.showplots()
示例#7
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plt.figure()
plt.triplot(tri, '-')
Fi = [None] * 2
mesh = nanopores.RectangleMesh([-Rx1, -Ry], [Rx1, Ry], 60, 150)

for i in (0, 1):
    z = Fexp[:, i]
    z = mirror(z, -1 if i == 0 else 1)

    # interpolate data
    interp = trid.nn_interpolator(z)
    interps = lambda x: interp([x[0]], [x[1]])
    Fi[i] = S1(interps, mesh)
    #dolfin.plot(Fi[i])

V = dolfin.VectorFunctionSpace(mesh, "CG", 1)
FFexp = dolfin.Function(V)
dolfin.assign(FFexp, [Fi[0], Fi[1]])
dolfin.plot(Fi[1])
#dolfin.plot(Fimpl[1])
#dolfin.interactive()

#dolfin.plot(FFexp)
poly = Howorka.polygon()
FFimpl, = nanopores.convert2D(mesh, Fimpl)
porestreamlines(polygon=poly, rx=Rx1, ry=Ry, F=FFexp, Fimpl=FFimpl)

#dolfin.interactive()
plt.show()
示例#8
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def run(**phys_params):
    params = geo_params.copy()
    params.update(phys_params)
    geo, phys = Howorka.setup2D(mesh=mesh, **params)
    pb, pnps = Howorka.solve2D(geo, phys, **params)
    return dict(J=pnps.get_functional("Javgctr"))
示例#9
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import matplotlib.pyplot as plt
from nanopores.models import Howorka
from matplotlib2tikz import save as tikz_save

nanopores.add_params(**Howorka.PARAMS)
nanopores.add_params(
    bV=numpy.linspace(-0.1, 0.1, 11),
    dnaqsdamp=[0.2, 0.35, 0.5],
    bulkcon=300,
    plot="bV",
    nproc=4,
)
print PARAMS

geo_params = dict(z0=None, rMolecule=rMolecule, Rx=Rx, Ry=Ry)
geo, phys = Howorka.setup2D(**geo_params)
mesh = geo.mesh


def run(**phys_params):
    params = geo_params.copy()
    params.update(phys_params)
    geo, phys = Howorka.setup2D(mesh=mesh, **params)
    pb, pnps = Howorka.solve2D(geo, phys, **params)
    return dict(J=pnps.get_functional("Javgctr"))


#result, stamp = nanopores.iterate_in_parallel(run, iterkeys=[plot], **PARAMS)
plots = nanopores.parallel_output(run, showplot=False, **PARAMS)

# modify plot output
示例#10
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def save_force_field(**params):
    F, Fel, Fdrag = Howorka.F_field_implicit(**params)
    mesh = Howorka.geo.mesh
    nanopores.save_functions(FNAME, mesh, meta=params, F=F, Fel=Fel, Fdrag=Fdrag)
示例#11
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def save_force_field(**params):
    F, Fel, Fdrag = Howorka.F_field_implicit(**params)
    mesh = Howorka.geo.mesh
    nanopores.save_functions(FNAME, mesh, meta=params, F=F, Fel=Fel, Fdrag=Fdrag)
    
if save:
    save_force_field(**PARAMS)
    exit()
    
def load_force_field():
    forces, mesh, meta = nanopores.load_vector_functions(FNAME)
    #mesh = forces["F"].function_space().mesh()
    return forces["F"], forces["Fel"], forces["Fdrag"], mesh

F, Fel, Fdrag, mesh = load_force_field()
geo, phys = Howorka.setup2D(mesh=mesh, z0=None, **PARAMS)
submesh = geo.submesh("fluid")

mesh = submesh
geo, phys = Howorka.setup2D(mesh=mesh, z0=None, **PARAMS)
V = dolfin.FunctionSpace(mesh, "CG", 1)
VV = dolfin.VectorFunctionSpace(mesh, "CG", 1)
F = dolfin.interpolate(F, VV)
Fel = dolfin.interpolate(Fel, VV)
Fdrag = dolfin.interpolate(Fdrag, VV)

v2d = dolfin.vertex_to_dof_map(V)
coord = mesh.coordinates() # numpy array of 2-1 arrays

def function_from_values(values):
    u = dolfin.Function(V)
示例#12
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    stokesLU=True,
)
fields.update()

# TODO calculate in parallel
# TODO calculate current as well
# TODO retrieve x points based on a given model and save file link
#      to data field

X = fields.get_entry("xforce", "X")
N = len(X)
if fields.exists("force3D", **params):
    Xdone = fields.get_field("force3D", "x", **params)
    X = [x0 for x0 in X if x0 not in Xdone]
    print "Existing force file found, %d/%d points remaining." % (len(X), N)
Xfailed = []

for x in X:
    x0 = [x[0], 0., x[1]]
    try:
        F, Fel, Fdrag = Howorka.F_explicit3D([x0], **solver_params)
        fields.save_fields("force3D", params, x=[x], F=F, Fel=Fel, Fdrag=Fdrag)
    except RuntimeError:
        print "RuntimeError occured, continuing without saving."
        Xfailed.append(x)

print "failed:"
print Xfailed
print "%d of %d force calculations failed." % (len(Xfailed), len(X))

fields.update()
示例#13
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#import nanopores, dolfin
import nanopores.models.Howorka as H

#geo, phys = H.setup3D(h3D=8., lcpore=0.1, x0=[0.2,0,7], Rx = 8.)
#pb, pnps = H.solve3D(geo, phys, Nmax3D=2e3)
#nanopores.plot_sliced(geo)
#dolfin.interactive()

params = dict(
    dnaqsdamp=0.5,
    bV=-0.0,
    h3D=8.,
    h=1.,
    lcpore=0.1,
    Rx=8.,
    Nmax3D=3e4,  # 8 GB => max. 3e4, 32 GB => 
    Nmax=1e4,
    stokesLU=True,
)

z = [7, 4.2, 0]
x = [[0, 0, z0] for z0 in z]

F2, Fel2, Fdrag2 = H.F_explicit(z, **params)
F, Fel, Fdrag = H.F_explicit3D(x, **params)

for i in range(len(z)):
    print "F_z(z=%s)" % z[i]
    print "2D: %.3f, %.3f, %.3f" % (F2[i], Fel2[i], Fdrag2[i])
    print "3D: %.3f, %.3f, %.3f" % (F[i][2], Fel[i][2], Fdrag[i][2])
示例#14
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    F0 = F[i0]
    print "F(0)", F0

    for i, v in enumerate(V):
        if not i == i0:
            print "\n--- Velocity %d ---" %(i+1,)
            F[i] = velo2force_2D(v, setup)
            print "Velocity", v
            print "Force (exact)", F[i]
            print "Force (linear)", F0 - gamma*v

    return F, gamma, F0

params = user_params(dim=3, Nmax=1.5e5, h=1., dnaqsdamp=0.25,
                     x0=[0.2,0.,4.01], Qmol=-1., bulkcon=300.)
setup = Howorka.Setup(**params)
setup.prerefine()
velo2force_3D([0., 0.1, 0.2], setup)

do_v2f = False
redo_v2f = False
if do_v2f:
    if redo_v2f:
        params = user_params(dim=2, Nmax=2e4, h=.5, dnaqsdamp=0.25,
                             x0=[0.,0.,4.5], Qmol=-1., bulkcon=300.)
        V = list(np.linspace(-1., 1., 3))
        F, gamma, F0 = nonzero_velocities_2D(V, **params)
        fields.save_entries("howorka_velo2force_3", params, V=V, F=F, gamma=gamma, F0=F0)
        fields.update()

    dolfin.interactive()
示例#15
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    F, Fel, Fdrag = Howorka.F_field_implicit(**params)
    mesh = Howorka.geo.mesh
    nanopores.save_functions(FNAME, mesh, meta=params, F=F, Fel=Fel, Fdrag=Fdrag)
    
if save:
    save_force_field(**PARAMS)
    exit()
    
def load_force_field():
    forces, mesh, params = nanopores.load_vector_functions(FNAME)
    #mesh = forces["F"].function_space().mesh()
    return forces["F"], forces["Fel"], forces["Fdrag"], mesh, params

# get forces and accompanying function spaces
F, Fel, Fdrag, mesh, params = load_force_field()
geo, phys = Howorka.setup2D(mesh=mesh, **params)
F0, Fel0, Fdrag0 = F, Fel, Fdrag
mesh0 = geo.mesh
V0 = dolfin.FunctionSpace(mesh, "CG", 1)
VV0 = dolfin.VectorFunctionSpace(mesh, "CG", 1)

# interpolate on fluid submesh
submesh = geo.submesh("fluid")
mesh = submesh
geo, phys = Howorka.setup2D(mesh=mesh, **params)
V = dolfin.FunctionSpace(mesh, "CG", 1)
VV = dolfin.VectorFunctionSpace(mesh, "CG", 1)
F = dolfin.interpolate(F, VV)
Fel = dolfin.interpolate(Fel, VV)
Fdrag = dolfin.interpolate(Fdrag, VV)