def wing_get_normal(wing, time):
phi = wing.rolling(time)
theta = wing.pitching(time)
points = numpy.array([[0.0, 0.0, 0.0],
[0.5, 0.0, 0.5],
[-0.5, 0.0, 0.5]]).T
x, y, z = rodney.vrotation(*points,
roll=phi, pitch=theta,
center=wing.hook)
p1, p2, p3 = numpy.array([x, y, z]).T
v1 = (p1 - p2) / numpy.linalg.norm(p1 - p2)
v2 = (p3 - p1) / numpy.linalg.norm(p3 - p1)
v3 = numpy.cross(v1, v2)
return v3 / numpy.linalg.norm(v3)
times = [float(t_str) for t_str in list(infile['p'].keys())]
# Initialize array to contain hydrodynamic power for each time recording.
P_hydro = numpy.empty_like(times)
# Compute the hydrodynamic power over the time records.
for i, time in enumerate(times):
print(f'[t/T = {time / T:.6f}] Computing hydrodynamic power ...')
# Get the rolling and pitching angles.
phi = wing.rolling(time)
theta = wing.pitching(time)
# Rotate the reference points (to next compute the unit normal).
points = Point(*rodney.vrotation(points0.x,
points0.y,
points0.z,
roll=phi,
pitch=theta,
center=wing.hook))
# Compute the unit normal vector.
n = get_normal(*points.asarray())
# Update the position and velocity of the body.
wing.update_position(time)
# Interpolate the pressure on the virtual boundary.
p = interpolate_pressure(*wing.get_coordinates(), time, datadir)
# Get the normal for each marker on the virtual boundary.
n = numpy.concatenate(
(numpy.tile(-n,
(wing.size // 2, 1)), numpy.tile(+n, (wing.size // 2, 1))))
