class DynamicAnalysis(object):
"""
classdocs
"""
__simulation_id = itertools.count(0)
def __init__(self, MBD_system, parent=None):
"""
Constructor
"""
# super(DynamicAnalysis, self).__init__(parent)
# parent
self._parent = parent
# states of simulation
self.running = False
self.stopped = False
self.finished = False
self.failed = False
self._error = False
self.errorControl = True
# signals
self.step_signal = StepSignal()
self.finished_signal = FinishedSignal()
self.refresh_signal = RefreshSignal()
self.energy_signal = EnergySignal()
self.error_time_integration_signal = ErrorTimeIntegrationSignal()
self.filename_signal = SolutionFilenameSignal()
self.save_screenshot_signal = SaveScreenshot()
self.solution_signal = SolutionSignal()
self.signal_simulation_status = SignalSimulationStatus()
# display active
self._active_scene = True
# MBD system object
self.MBD_system = MBD_system
# copy MBD object
self._MBD_system = copy.copy(self.MBD_system)
# DAE fun object
self.DAE_fun = DAEfun(self._MBD_system, parent=self)
# define simulation attributes
self.simulation_id = None
self.h_contact = None
self.t_0 = 0.
self.t_n = None
self.stepsNumber = None
self.absTol = None
self.relTol = None
self.absError = None
self.relError = None
self.progress = 0
self._energy_t = 0.
self._energy_delta = 0.
self.h_min_level = None
self.h_max_level = None
self.h_contact_level = None
# simulation settings - properties
# self.integrationMethod = "RKF" # self.MBD_system.integrationMethod
# update opengl widget every N-th step
self._dt = self.MBD_system._dt
self.step = 0
self.t = 0.
self.update_opengl_widget_step_count = 0
self.update_opengl_widget_every_Nth_step = self.MBD_system.updateEveryIthStep
self.t_constant_time_step = None
self.save_screenshot_step_count = 0
self.save_screenshot_every_Nth_step = 2 * self.update_opengl_widget_every_Nth_step
# info properties
self.start_time_simulation_info_in_sec_UTC = []
self.start_time_simulation_info = []
self.end_time_simulation_info_in_sec_UTC = []
self.end_time_simulation_info = []
self.simulation_time_info_in_sec_UTC = []
self.simulation_time_info = []
self.stop_time_simulation_info_in_sec_UTC = []
self.stop_time_simulation_info = []
self.FLAG = 1
self.FLAG_contact = 0
self.FLAG_contact_finish = 0
# level of integration step size - time
self.h_level = 0
self.dh = 0
self._steps_after_contact = 0
self._dh_constant_steps = 0
# solution data settings
# write to file during simulation
self._append_to_file_every_Nth_step = 20
self._append_to_file_step = 0
self._append_to_file_during_simulation = True
self._append_to_file_keep_last_Nth_steps_in_memory = 10
def _solution_containers(self):
"""
Function initializes solution containers object attributes to save solution data during numerical integration process
:return:
"""
# solution container variable
self.q0 = self._MBD_system.evaluate_q0()
self.q_sol_matrix = np.array([self.q0])
self.t_vector = np.array([0])
self.R_vector = np.array([0])
self.step_counter_vector = np.array([0]).astype(int)
self.step_size_vector = np.array([self._MBD_system.Hmax])
self.h_level_vector = np.array([0]).astype(int)
self.energy_data_vector = np.array([self._mechanical_energy(self.q0)])
self.contact_status_vector = np.array([0]).astype(int)
def start_solve(self):
"""
Start solver (time integration process)
"""
# set step size
self.Hmin = self._MBD_system.Hmin
self.Hmax = self._MBD_system.Hmax
self.Hcontact = self._MBD_system.Hcontact
self.Houtput = self._MBD_system.Houtput
# set step level
self.h_min_level = 0
self.h_max_level = int(np.trunc(np.log2(self.Hmax /
self.Hmin))) #np.trunc
self.h_contact_level = np.trunc(np.log2(self.Hmax / self.Hcontact))
print "self.h_contact_level =", self.h_contact_level
self.h_output_level = np.trunc(np.log2(self.Hmax / self.Houtput))
# solution id
self.simulation_id = self.__simulation_id.next()
# create solution data object to store data at each simulation start
self._solution_data = SolutionData(MBD_item=self.MBD_system)
# clear temp solution file
self._solution_data._clear_file()
self.MBD_system.solutions.append(self._solution_data)
self.signal_simulation_status.signal_simulation_status.emit("Running")
logging.getLogger("DyS_logger").info(
"Simulation started, simulation id: %s" % self.simulation_id)
self.running = True
self.stopped = False
self.finished = False
def stop_solve(self):
"""
Stop solver (time integration process) - interput by user
"""
# get solution data to one variable
solution_data = self.collect_solution_data()
# append solution data to file
self._solution_data._append_data_to_temp_file(solution_data[0:-1, :])
self.stopped = True
self.running = False
self.stop_time_simulation_info_in_sec_UTC = time.time()
self.stop_time_simulation_info = datetime.datetime.fromtimestamp(
self.stop_time_simulation_info_in_sec_UTC).strftime(
"%H:%M:%S %d.%m.%Y")
self.signal_simulation_status.signal_simulation_status.emit("Stopped")
logging.getLogger("DyS_logger").info(
"Simulation stopped by user at simulation time:%s", self.t)
def finished_solve(self):
"""
Method sets some parameters when integration process is finished
:return:
"""
self._refresh(t=self.t, step=self.step)
if self.finished:
self.solution_signal.solution_data.emit(id(self._solution_data),
self._solution_data._name)
logging.getLogger("DyS_logger").info(
"Simulation finished successfully!")
self.finished_signal.signal_finished.emit()
self.signal_simulation_status.signal_simulation_status.emit(
"Finished")
# set booleans for states
self.finished = True
self.running = False
def simulation_failed(self):
"""
:return:
"""
print "simulation_failed()"
self.error_time_integration_signal.signal_time_integration_error.emit()
self.signal_simulation_status.signal_simulation_status.emit("Failed")
if self._error or self.failed:
logging.getLogger("DyS_logger").info("Simulation failed!")
if self.DAE_fun.error:
logging.getLogger("DyS_logger").info(
"Violation of kinematic constraint!")
def _info(self, t, w):
"""
:return:
"""
# update coordinates and angles of all bodies
self._update_coordinates_and_angles_of_all_bodies(t, w)
# update display
self.refresh(t, w)
# self.step += 1
# step_counter = np.append(step_counter, self.step)
# self.update_opengl_widget_step_count += 1
self.save_screenshot_step_count += 1
# step number signal
self.step_signal.signal_step.emit(self.step)
# energy data signal
self.energy_signal.signal_energy.emit(self._energy_t,
self._energy_delta)
# simulation progress
if self.t_n is not None:
self.progress = t / self.t_n
else:
self.progress = self.step / self.stepsNumber
def _track_data(self, h, t, q):
"""
:return:
"""
# save values at next time step to matrix of solution (q_matrix)
if self.FLAG_contact in [0, 1]:
# append solution at i-th time to solution matrix
self.q_sol_matrix = np.vstack((self.q_sol_matrix, np.array(q)))
self.step_size_vector = np.append(self.step_size_vector, h)
self.step += 1
step_num = self.step
# append current step number to step counter history array
self.step_counter_vector = np.append(self.step_counter_vector,
self.step)
# add to vector
self.t_vector = np.append(self.t_vector, t)
self.R_vector = np.append(self.R_vector, self.absError)
# append current mechanical energy to array
self.energy_data_vector = np.append(self.energy_data_vector,
self._energy_t)
# contact status
self.contact_status_vector = np.append(self.contact_status_vector,
self.FLAG_contact)
# step size level
self.h_level_vector = np.append(self.h_level_vector, self.h_level)
for contact in self.MBD_system.contacts:
contact._track_data(self.step, h, t)
for force in self.MBD_system.forces:
force._track_data(self.step, h, t)
for spring in self.MBD_system.springs:
spring._track_data(self.step, h, t)
for joint in self.MBD_system.joints:
joint._track_data(self.step, h, t)
for measure in self.MBD_system.measures:
measure._track_data(self.step, h, t, q)
# check is step number is reached to append data to file
if self._append_to_file_step == self._append_to_file_every_Nth_step - 1 and self._append_to_file_during_simulation:
# collect solution data to one variable
solution_data = self.collect_solution_data()
# append solution data to file
self._solution_data._append_data_to_temp_file(solution_data[
0:self._append_to_file_keep_last_Nth_steps_in_memory, :])
# print "solution data appended!"
# remove all but last value in array/matrix
self._reset_solution_data_after_append_to_temp_file()
# counter
self._append_to_file_step = 0
else:
self._append_to_file_step += 1
# reduce step size and continue integration from previous step
elif self.absError > self.absTol:
# go to one before last solution
q = self.q_sol_matrix[-1, :]
# remove last stored value in matrix
# self.q_sol_matrix = np.delete(self.q_sol_matrix, -1, axis=0)
# store time that is too large
self._t_FLAG1 = t
t = self.t_vector[-1] # , 0
# # reduce step size
# h = 0.5 * h
# # level os step size
# self.t_level += 1
# self.step -= 1
# step_num = self.step
# step_counter[-1] = self.step
self.energy_data_vector[-1] = self._energy_t
return h, t, q
def _evaluate_contacts(self, t, q):
"""
Function solves contacts. Finds overlap pairs of (sub)AABB and calculates actual distances between node
and line (edge). If distance is below userdefined limit contact is present and contact equations are solved.
:type self: object
Args:
q vector of positions and velocities (translational and rotational)
Returns:
q_ vector of new calculated velocities (positions are equal before and after contact
status - 0 - contact is not detected continue with integration to next time step
1 - contact is detected (has happened) return to previous time step solution and split time step
size
2 - contact is detected (will happen) split time step size
Raises:
None
"""
# predefine array of zeros
self.contact_status_list = np.zeros(len(self.MBD_system.contacts),
dtype="int")
# check for contact of every contact pair
for i, contact in enumerate(self.MBD_system.contacts):
# print "contact._contact_point_found =", contact._contact_point_found, "t =", t
if not contact._contact_point_found:
# function recursively loops through all potential AABB objects in AABB tree of each body
# and if two AABB objects overlap, a new overlap object is created
# that has both overlapping AABB objects
# general contact
if contact._contact_type in ["general", "roughness profile"]:
# adds simulation data to contact object
# reset to empty list a contact object attribute of list of overlap pairs,
# as this is not possible in the next line (function) due to the recursion
contact.AABB_list_of_overlap_pairs = []
# check for overlap and if overlap is present build a overlap pair object
contact.check_for_overlap(q, contact.AABB_i,
contact.AABB_j)
# if list of overlap object pairs is not empty, check for contact
if contact.AABB_list_of_overlap_pairs != []:
self.contact_status_list[
i] = contact.check_for_contact(self.step, t, q)
else:
contact.no_overlap(self.step, t, q)
# clearance joints of contact
elif contact._contact_type.lower() in contact._contact_types:
self.contact_status_list[i] = contact.check_for_contact(
self.step, t, q)
else:
self.FLAG = 0
QtGui.QMessageBox.critical(
self._parent, "Error!",
"Contact type not correct: %s" % contact._type +
". \nDefine correct contact type!",
QtGui.QMessageBox.Ok)
raise ValueError, "Contact type not correct: %s" % contact._type, "\n Define correct contact type!"
else:
pass
# adds simulation data to contact object as this is not possible in the next line because of the recursion
self.contact_status_list[i] = contact.contact_update(
self.step, t, q)
# no contacts
if (self.contact_status_list == 0).all():
FLAG_contact = 0
callerframerecord = inspect.stack()[0] # 0 represents this line
# 1 represents line at caller
frame = callerframerecord[0]
# print "NO CONTACT"
# print "simulation sleep"
info = inspect.getframeinfo(frame)
# print "file:", info.filename
# print "function:", info.function+"()"
# time.sleep(100)
if self.contact_status_vector[
-1] == 1 and self.FLAG_contact_finish == 1:
FLAG_contact = -1
self.FLAG_contact_finish -= 1
return FLAG_contact
# contact has already happened - reduce time step
if (self.contact_status_list == -1).any():
FLAG_contact = -1 # 0-no contact, 1-contact has already happened - reduce time step
return FLAG_contact
# contact
if (self.contact_status_list == 1).any():
FLAG_contact = 1
self.FLAG_contact_finish = 1
# logging.getLogger("DyS_logger").info("Contact detected at simulation time:%s \nbody_i=%s \nbody_j=%s", t, self.MBD_system.bodies[contact.body_id_i]._name, self.MBD_system.bodies[contact.body_id_j]._name)
# logging.getLogger("DyS_logger").info("Contact detected at simulation time:%s "%t)
# repaint opengl widget
# self.repaintGL_signal.signal_repaintGL.emit()
# solve contacts - evaluate contact forces
# self.DAE_fun.solve_contacts(t, q)
# logging.getLogger("DyS_logger").info("Contact calculation finished")
return FLAG_contact
else:
FLAG_contact = 0
return FLAG_contact
def _mechanical_energy(self, q):
"""
"""
energy = self.MBD_system.evaluate_mechanical_energy(q=q)
return energy
def check_time_step_TODO(self, t, h, w):
"""
:param t:
:param h:
:param w:
:return:
"""
error = False
# continue with current time step - no error
if (self.absError <= self.absTol) and not (self.DAE_fun.check_C(w, t)):
# print "NO ERROR"
self.dh = 0
if self.FLAG_contact == 0:
# print "FLAG = 0"
if self.contact_status_vector[-1] == 1:
self.h_level = int(max(self.h_level_vector))
if self.h_level > 0:
self.dh = -1
if self.FLAG_contact == +1:
# print "FLAG = 1"
self.h_level = self.h_contact_level
if self.FLAG_contact == -1:
# print "FLAG = -1"
self.dh = +1
else:
# print "ERROR"
# if self.FLAG_contact == 0:
# self.dh = 0
#
# if self.FLAG_contact == +1:
# print "FLAG = 1"
# self.h_level = self.h_contact_level
if self.FLAG_contact in [-1, +1]:
# print "self.FLAG_contact =", self.FLAG_contact
self.dh = +1
# print "self.h_level =", self.h_level
# print "self.dh =", self.dh
self.h_level += self.dh
# print "self.h_level =", self.h_level
h = self._evaluate_time_step(self.h_level)
# time step size is limited by max value
if h > self.Hmax:
h = self.Hmax
self.h_level = 0
# value of time step is smaller than the limit - break computation and raise error
if h < self.Hmin:
error = True
print "Hmin =", self.Hmin
print "Suggested value is h =", h
print "absError =", self.absError
print "absTol =", self.absTol
print "C(q, t) =", self.DAE_fun.evaluate_C(w, t)
raise ValueError, "Hmin exceeded!"
return h, error
def check_time_step(self, t, h, w):
"""
Function checks time step size
"""
# print "self.contact_status_vector[-1]@check_time_step()=", self.contact_status_vector[-1]
error = False
self.dh = 0
# if at least one contact is present in the MBD system
if self.FLAG_contact == 1:
self.dh = 0
# print 'h_level=', self.h_level
# condition to increase speed for calculationg contact conditions
if self._dh_constant_steps == 0:
if self.h_level - 1 >= self.h_contact_level:
for h_lev in np.arange(self.h_level):
if np.around((self.t / self.Hmax * 2**(h_lev)),
decimals=5) % 1 == 0:
# dh = -self.h_level + h_lev
dh = -1
self.h_level += dh
if self.h_level < self.h_contact_level:
self.h_level = self.h_contact_level
break
else:
self.h_level = self.h_contact_level
else:
self._dh_constant_steps -= 1
# at least one contact has current initial penetration depth larger than initial minimum specified depth by user
elif self.FLAG_contact == -1 or self.absError > self.absTol:
if self.h_level + 1 <= self.h_max_level:
self.dh = 1
self._dh_constant_steps = 8
else:
self.dh = 0
error = True
print "Hmin =", self.Hmin
print "Suggested value is h =", h
print "absError =", self.absError
print "absTol =", self.absTol
print "C(q, t) =", self.DAE_fun.evaluate_C(w, t)
print Warning, "Hmin exceeded!"
# contact is finished and the integration is started from previous time step with smalled step size
elif self.contact_status_vector[-1] == 1:
self.h_level = int(max(self.h_level_vector))
# print 'ELIF h_level', self.h_level
# no contact is present at current time step, integration step size can be increased
else:
if self._dh_constant_steps == 0:
if self.h_level - 1 >= self.h_min_level:
# print "np.arange(self.h_level) =", np.arange(self.h_level)
for h_lev in np.arange(self.h_level):
if np.around((self.t / self.Hmax * 2**(h_lev)),
decimals=5) % 1 == 0:
# dh = self.h_level - h_lev
dh = 1
if self.step < self._steps_after_contact:
_n = self.step
else:
_n = self._steps_after_contact
_status = self.contact_status_vector[-_n - 1:-1]
if (_status == np.zeros(_n)).all():
self.dh = -dh
else:
self.dh = 0
break
else:
self._dh_constant_steps -= 1
self.h_level += self.dh
h = self._evaluate_time_step(self.h_level)
# time step size is limited by max value
if h > self.Hmax:
h = self.Hmax
self.h_level = 0
if h < self.Hmin and self.FLAG_contact != 1:
h = self.Hmin
error = True
print "-----------------------------------------"
for contact in self.MBD_system.contacts:
print "contact id =", contact.contact_id
print "delta =", contact._delta
print "Hmin =", self.Hmin
print "Suggested value is h =", h
print "absError =", self.absError
print "absTol =", self.absTol
print "C(q, t) =", self.DAE_fun.evaluate_C(w, t)
print Warning, "Hmin exceeded!"
# multiple of time step
# m = t * (2.**self.t_level) / self.Hmax
# next_level = fractions.gcd((2**self.t_level), m)
# print "next_level =", next_level
# time.sleep(100)
return h, error
def _evaluate_time_step(self, level):
"""
"""
h = self.Hmax / (2**level)
return h
def write_simulation_solution_to_file(self):
"""
Function writes solution data to solution data object
"""
print "write_simulation_solution_to_file()"
# write solution data and info to solution data object
self._solution_data.set_filetype(self.MBD_system._solution_filetype)
self.solution_filename = 'solution_data_%02d' % self.simulation_id #+self.MBD_system._solution_filetype
# add to temp file
data = self.collect_solution_data()
self._solution_data._append_data_to_temp_file(data)
# read from temp file
if os.path.isfile(self._solution_data._temp_filename):
self._solution_data._solution_data_from_temp_file()
if self.MBD_system._save_options == "save to new":
# check filename if already exists
self.solution_filename = check_filename(self.solution_filename)
# set solution data filename
self._solution_data.setName(self.solution_filename)
# add data to object attribute
self._solution_data.finished = True
# print "self.MBD_system._solution_save_options =", self.MBD_system._solution_save_options
if self.MBD_system._solution_save_options != "discard":
# write data to file
self._solution_data.write_to_file()
# emit signal
# self.solution_signal.solution_data.emit(id(self._solution_data), self._solution_data._filename)
# write contact values of every simulation time step to file
for contact in self.MBD_system.contacts:
if contact._solution_save_options != "discard":
contact.write_to_file()
for joint in self.MBD_system.joints:
if joint._solution_save_options != "discard":
joint.write_to_file()
def collect_solution_data(self):
"""
:return:
"""
# join in one ndarray (matrix)
solution_data = np.hstack(
(np.array([self.step_counter_vector]).T,
np.array([self.energy_data_vector]).T,
np.array([self.R_vector]).T, np.array([self.step_size_vector]).T,
np.array([self.t_vector]).T, np.array([self.h_level_vector]).T,
np.array([self.contact_status_vector]).T, self.q_sol_matrix))
return solution_data
def _reset_solution_data_after_append_to_temp_file(self):
"""
Function removes all elements in array except last item (row)
:return:
"""
for data_name in [
"step_counter_vector", "energy_data_vector", "R_vector",
"step_size_vector", "t_vector", "h_level_vector",
"contact_status_vector"
]:
data = getattr(self, data_name)
new_data = np.array(
data[self._append_to_file_keep_last_Nth_steps_in_memory:])
setattr(self, data_name, new_data)
# solution matrix
new_data = self.q_sol_matrix[
self._append_to_file_keep_last_Nth_steps_in_memory:, :]
self.q_sol_matrix = new_data
def save_solution_data(self):
"""
:return:
"""
if os.path.isfile(self._solution_data._temp_filename):
self._solution_data._solution_data_from_temp_file()
# self._solution_data.add_data(data)
def load_simulation_solution_from_file(self, filename):
"""
Function load solution_data from file.
"""
# self.finished_signal.signal_finished.emit("Animation")
self.signal_simulation_status.signal_simulation_status.emit(
"Animation")
if os.path.exists(filename):
self.solution_data = np.loadtxt(str(filename), skiprows=2)
return self.solution_data
def _update_coordinates_and_angles_of_all_bodies(self, t, q):
"""
Function updates MBD_system data before display
"""
# self.MBD_system.update_coordinates_and_angles_of_all_bodies(q)
self.MBD_system.update_vtk_data(t, q)
def refresh(self, t, q):
"""
Update visualization widget at preset time steps
"""
if self._active_scene:
# update display on every i-th step
if self._parent._update_display_type == "step":
self.update_opengl_widget_step_count += 1
if self.update_opengl_widget_step_count == self.update_opengl_widget_every_Nth_step or self.finished or self.stopped:
self._refresh(t, self.step)
self.time = t
self.save_updated_screenshot_to_file(self.time)
# reset step counter to update opengl widget
self.update_opengl_widget_step_count = 0
# update display on simulation time interval dt
if self._parent._update_display_type == "dt":
_dt = t - self._dt
if _dt >= self._parent._dt:
self._refresh(t, self.step)
# set new value
self._dt = t
return None
def _refresh(self, t, step):
"""
:return:
"""
# update visualization widget
self.MBD_system.update_simulation_properties(time=t, step_num=step)
# emit signal
if self._active_scene:
self.refresh_signal.signal_refresh.emit()
def save_updated_screenshot_to_file(self, t):
"""
"""
if self.MBD_system.save_screenshots:
if (self.save_screenshot_step_count
== self.save_screenshot_every_Nth_step) or (
t == self.t_0) or (self.finished):
self.screenshot_filename_abs_path = os.path.join(
self.MBD_system.saved_screenshots_folder_abs_path,
str("step=" + "%010d" % self.step))
self.save_screenshot_signal.signal_saveScreenshot.emit()
self.save_screenshot_step_count = 0
def restore_initial_condition(self):
"""
Function restores initial conditions and displays it with opengl widget.
"""
self.step = 0
self.MBD_system._restore_initial_conditions()
self.step_signal.signal_step.emit(self.step)
self.energy_signal.signal_energy.emit(0., 0.)
self.MBD_system.time = 0.
self.MBD_system.step_num = 0
self.refresh_signal.signal_refresh.emit()
self.refresh(t=0, q=self.MBD_system.q0)
class KinematicAnalysis(DynamicAnalysis):
"""
classdocs
"""
def __init__(self, MBD_system, parent=None):
"""
Constructor
"""
super(KinematicAnalysis, self).__init__(MBD_system, parent)
# parent
self._parent = parent
# DAE fun object
self.DAE_fun = DAEfun(self._MBD_system, parent=self)
def solve(self):
"""
Solves a kinematic system
"""
print "solve()"
# pprint(vars(self))
# start solve
self.start_solve()
self.simulation_id = 0
self.FLAG = 1
# scipy.optimize.newton()
t = 0.
h = self._MBD_system.Hmax
self.t_n = self.MBD_system.t_n
# initial approximation
q = self.q_sol = self.MBD_system.evaluate_q0()
# use positions vector (translational and rotational)
q = q[0:len(q) / 2]
# us
# solution containers
self._solution_containers()
# size of C, C_q, C_t vectors, matrix
self.DAE_fun._C_q_size()
# options to track data
self.q_sol_matrix = np.array([q])
self._energy_t = 0
self._energy_delta = np.nan
# check before run
if not self.DAE_fun.check_C(q, t):
self.FLAG = 1
else:
print "Error found before simulation run!"
self.FLAG = 0
self.finished_solve()
# kinematic analysis
while self.FLAG == 1:
# print "----------------------------------------"
# print "t =", t
if self.stopped:
# self.update_GL_(t=t, q=w)
self.stop_solve()
self.FLAG = 0
if t >= self.t_n:
self.FLAG = 0
self.finished = True
print "finished!"
# self.update_GL_(t=t, q=w)
if self.finished or self.failed:
self.finished_solve()
# evaluate C vector
# C = self.DAE_fun.evaluate_C(q, t)
# print "C =", len(C)
# print C
# C_q = self.DAE_fun.evaluate_C_q(q)
# print "C_q ="
# print C_q
# print "q (in) =", q
q = scipy.optimize.fsolve(self.DAE_fun.evaluate_C,
q,
args=(t),
fprime=self.DAE_fun.evaluate_C_q,
xtol=self.MBD_system.TOL_dq_i,
maxfev=50)
# q = scipy.optimize.newton(self.DAE_fun.evaluate_C, q, fprime=self.DAE_fun.evaluate_C_q, tol=self.MBD_system.TOL_dq_i, maxiter=50)
# print "q (out) =", q
# evaluate C_q matrix
C_q = self.DAE_fun.evaluate_C_q(q, t)
# print "C_q ="
# print C_q
# evaluate C_t vector
C_t = self.DAE_fun.evaluate_C_t(q, t)
# print "C_t =", C_t
# solve linear system of equations for dq
dq = np.linalg.solve(C_q, -C_t)
# assemble new q vector q=[q, dq]
_q = np.concatenate([q, dq])
self.q_sol = _q
# evaluate vector Q_d
Q_d = self.DAE_fun.evaluate_Q_d(_q)
# solve linear system of equations for ddq
ddq = np.linalg.solve(C_q, Q_d)
# track data
self.R = np.nan
self._track_data(h, t, q)
self._info(t, q)
# increase time step
t = t + h
self.t = t
# integration finished - end time reached successfully
if self.finished or self.failed:
self.finished_solve()
# save data to file
self.write_simulation_solution_to_file()