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Fix response viewer for unsteady simulations #103

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Merged
ArneVoss merged 2 commits into from
Apr 2, 2026
+8 −4
Merged

Fix response viewer for unsteady simulations #103

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5d60c04
Derive number of mode shapes from modal deformations 'Uf'.
ArneVoss Apr 2, 2026
069eeb5
Fix unit of rates (deg/s)
ArneVoss Apr 2, 2026
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12 changes: 8 additions & 4 deletions responseviewer/plotting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
class Plotting():

states_avail = ['x [m]', 'y [m]', 'z [m]', 'Phi [deg]', 'Theta [deg]', 'Psi [deg]',
'u [m/s]', 'v [m/s]', 'w [m/s]', 'p [deg]', 'q [deg]', 'r [deg]']
'u [m/s]', 'v [m/s]', 'w [m/s]', 'p [deg/s]', 'q [deg/s]', 'r [deg/s]']
commands_avail = ['Xi [deg]', 'Eta [deg]', 'Zeta [deg]', 'Thrust [N]', 'Stabilizer [deg]', 'Flaps [deg]']
loadfactors_avail = ['Nx [-]', 'Ny [-]', 'Nz [-]']
other_avail = ['q_dyn [Pa]', 'alpha [deg]', 'beta [deg]', 'p1 [m]', 'F1 [N]']
Expand Down Expand Up @@ -45,9 +45,13 @@ def timehistories(self, subcases, quantities,):
idx = self.states_avail.index(quantity)
data = self.responses[subcase]['X'][:, idx]
elif quantity in self.commands_avail:
# Commands are stored in the last 6 rows of 'X' in the same order as in commands_avail.
# Derive number of mode shapes from modal deformations 'Uf'.
n_modes = self.responses[subcase]['Uf'].shape[1]
# Find commands in state vector/matrix 'X' with the following sequence:
# X = [12 rigid body states, 2*n_modes, 6 commands, many unsteady lag states]
commands = self.responses[subcase]['X'][:, 12 + 2 * n_modes: 12 + 2 * n_modes + 6]
# Commands are stored in the same sequence as in commands_avail
idx = self.commands_avail.index(quantity)
commands = self.responses[subcase]['X'][:, -6:]
data = commands[:, idx]
elif quantity in self.loadfactors_avail:
# Load factors are stored in 'Nxyz' in the same order as in loadfactors_avail.
Expand All @@ -64,7 +68,7 @@ def timehistories(self, subcases, quantities,):
# In case the quantity is not found, create some dummy data.
subcase = 'Not found'
data = np.zeros_like(time)
if '[deg]' in quantity:
if '[deg]' in quantity or '[deg/s]' in quantity:
data *= 180.0 / np.pi
# Plot the time history for the current subcase and quantity.
a.plot(time, data, label=subcase)
Expand Down
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