def test_phaseplot3D(self):
plot.phasePlot3D(self.model)
model.state_relations = [state1,state2] # Which state relation we want to use
# We want to solve for 40 seconds at 100Hz
model.time = np.arange(0,40.01,0.01)
# We want to slide at 1 um/s for 10 s, then at 10 um/s for 31
lp_velocity = np.ones_like(model.time)
lp_velocity[10*100:] = 10. # Velocity after 10 seconds is 10 um/s
# Set the model load point velocity, must be same shape as model.model_time
model.loadpoint_velocity = lp_velocity
# Run the model!
model.solve()
# Save the model output
model.savetxt('model_output.txt')
# Make the 2D phase plot
plot.phasePlot(model)
# Make a 3D phase plot
plot.phasePlot3D(model)
# Make a plot in displacement
plot.dispPlot(model)
# Make a plot in time
plot.timePlot(model)
def test_phaseplot3D(self):
plot.phasePlot3D(self.model)
state2 = staterelations.DieterichState() state2.b = 0.001 # Empirical coefficient for the evolution effect state2.Dc = 5. # Critical slip distance model.state_relations = [state1,state2] # Which state relation we want to use # We want to solve for 40 seconds at 100Hz model.time = np.arange(0,40.01,0.01) # We want to slide at 1 um/s for 10 s, then at 10 um/s for 31 lp_velocity = np.ones_like(model.time) lp_velocity[10*100:] = 10. # Velocity after 10 seconds is 10 um/s # Set the model load point velocity, must be same shape as model.model_time model.loadpoint_velocity = lp_velocity # Run the model! model.solve() # Make the 2D phase plot plot.phasePlot(model) # Make a 3D phase plot plot.phasePlot3D(model) # Make a plot in displacement plot.dispPlot(model) # Make a plot in time plot.timePlot(model)
