def fit_glider_3d(cls, glider, numpoints=3):
"""
Create a parametric model from glider
"""
shape = glider.shape_simple
front, back = shape.front, shape.back
arc = [rib.pos[1:] for rib in glider.ribs]
aoa = [[front[i][0], rib.aoa_relative] for i, rib in enumerate(glider.ribs)]
zrot = [[front[i][0], rib.zrot] for i, rib in enumerate(glider.ribs)]
def symmetric_fit(polyline, numpoints=numpoints):
mirrored = PolyLine2D(polyline[1:]).mirror([0, 0], [0, 1])
symmetric = mirrored[::-1].join(polyline[int(glider.has_center_cell):])
return SymmetricBezier.fit(symmetric, numpoints=numpoints)
front_bezier = symmetric_fit(front)
back_bezier = symmetric_fit(back)
arc_bezier = symmetric_fit(arc)
aoa_bezier = symmetric_fit(aoa)
zrot_bezier = symmetric_fit(zrot)
cell_num = len(glider.cells) * 2 - glider.has_center_cell
front[0][0] = 0 # for midribs
start = (2 - glider.has_center_cell) / cell_num
const_arr = [0.] + np.linspace(start, 1, len(front) - 1).tolist()
rib_pos = [p[0] for p in front]
cell_centers = [(p1+p2)/2 for p1, p2 in zip(rib_pos[:-1], rib_pos[1:])]
rib_pos_int = Interpolation(zip([0] + rib_pos[1:], const_arr))
rib_distribution = [[i, rib_pos_int(i)] for i in np.linspace(0, rib_pos[-1], 30)]
rib_distribution = Bezier.fit(rib_distribution, numpoints=numpoints+3)
profiles = [rib.profile_2d for rib in glider.ribs]
profile_dist = Bezier.fit([[i, i] for i, rib in enumerate(front)],
numpoints=numpoints)
balloonings = [cell.ballooning for cell in glider.cells]
ballooning_dist = Bezier.fit([[i, i] for i, rib in enumerate(front[1:])],
numpoints=numpoints)
zrot = Bezier([[0, 0], [front.last()[0], 0]])
# TODO: lineset, dist-curce->xvalues
parametric_shape = ParametricShape(front_bezier, back_bezier, rib_distribution, cell_num)
parametric_arc = ArcCurve(arc_bezier)
return cls(shape=parametric_shape,
arc=parametric_arc,
aoa=aoa_bezier,
zrot=zrot_bezier,
profiles=profiles,
profile_merge_curve=profile_dist,
balloonings=balloonings,
ballooning_merge_curve=ballooning_dist,
glide=glider.glide,
speed=10,
lineset=LineSet2D([]))
def test_fit(self):
num = len(self.bezier.controlpoints)
to_fit = self.bezier.get_sequence()
bezier2 = Bezier.fit(to_fit, numpoints=num)
for p1, p2 in zip(self.bezier.controlpoints, bezier2.controlpoints):
self.assertAlmostEqual(p1[0], p2[0], 0)
self.assertAlmostEqual(p1[1], p2[1], 0)
def fit_region(self, start, stop, num_points, control_points):
smoothened = [
self[self(x)] for x in np.linspace(start, stop, num=num_points)
]
return Bezier.fit(smoothened, numpoints=num_points)
def get_geometry_explicit(sheet):
# All Lists
front = []
back = []
cell_distribution = []
aoa = []
arc = []
profile_merge = []
ballooning_merge = []
zrot = []
y = z = span_last = alpha = 0.
for i in range(1, sheet.nrows()):
line = [sheet.get_cell([i, j]).value for j in range(sheet.ncols())]
if not line[0]:
break # skip empty line
if not all(isinstance(c, numbers.Number) for c in line[:10]):
raise ValueError("Invalid row ({}): {}".format(i, line))
# Index, Choord, Span(x_2d), Front(y_2d=x_3d), d_alpha(next), aoa,
chord = line[1]
span = line[2]
x = line[3]
y += np.cos(alpha) * (span - span_last)
z -= np.sin(alpha) * (span - span_last)
alpha += line[4] * np.pi / 180 # angle after the rib
aoa.append([span, line[5] * np.pi / 180])
arc.append([y, z])
front.append([span, -x])
back.append([span, -x - chord])
cell_distribution.append([span, i - 1])
profile_merge.append([span, line[8]])
ballooning_merge.append([span, line[9]])
zrot.append([span, line[7] * np.pi / 180])
span_last = span
def symmetric_fit(data, bspline=False):
not_from_center = int(data[0][0] == 0)
mirrored = [[-p[0], p[1]] for p in data[not_from_center:]][::-1] + data
if bspline:
return SymmetricBSpline.fit(mirrored)
else:
return SymmetricBezier.fit(mirrored)
has_center_cell = not front[0][0] == 0
cell_no = (len(front) - 1) * 2 + has_center_cell
start = (2 - has_center_cell) / cell_no
const_arr = [0.] + np.linspace(start, 1,
len(front) -
(not has_center_cell)).tolist()
rib_pos = [0.] + [p[0] for p in front[not has_center_cell:]]
rib_pos_int = Interpolation(zip(rib_pos, const_arr))
rib_distribution = [[i, rib_pos_int(i)]
for i in np.linspace(0, rib_pos[-1], 30)]
rib_distribution = Bezier.fit(rib_distribution)
parametric_shape = ParametricShape(symmetric_fit(front),
symmetric_fit(back), rib_distribution,
cell_no)
arc_curve = ArcCurve(symmetric_fit(arc))
return {
"shape": parametric_shape,
"arc": arc_curve,
"aoa": symmetric_fit(aoa),
"zrot": symmetric_fit(zrot),
"profile_merge_curve": symmetric_fit(profile_merge, bspline=True),
"ballooning_merge_curve": symmetric_fit(ballooning_merge, bspline=True)
}
