fedoo.problem.NonLinear

class NonLinear(assembly, nlgeom=False, name='MainProblem')

__init__(assembly, nlgeom=False, name='MainProblem')

Methods

NonLinear.NewtonRaphsonError()	Compute the error of the Newton-Raphson algorithm For Force and Work error criterion, the problem must be updated (Update method).
NonLinear.NewtonRaphsonIncrement()
NonLinear.add_global_dof(variable_names[, ...])	Add global degrees of freedom to the problem.
NonLinear.add_output(filename, assembly[, ...])	Add output requirement for automatic saving during nlsolve.
NonLinear.apply_boundary_conditions([...])
NonLinear.change_assembly(assembling[, update])	Modify the assembly associated to the problem and update the problem (see Assembly.update for more information)
NonLinear.elastic_prediction()
NonLinear.get_A()
NonLinear.get_B()
NonLinear.get_D()
NonLinear.get_X()
NonLinear.get_active()	Return the active Problem.
NonLinear.get_all()	Return the list of all problems.
NonLinear.get_disp([name])	Return the displacement components.
NonLinear.get_dof_solution([name])
NonLinear.get_ext_forces([name, include_mpc])	Return the nodal Forces in global coordinates system.
NonLinear.get_results(*args, **kargs)	Extract some results from the current problem.
NonLinear.get_rot([name])	Return the rotation components.
NonLinear.get_temp()	Return the nodal temperature field.
NonLinear.init_bc_start_value()
NonLinear.initialize()
NonLinear.make_active()	Define the problem instance as the active Problem.
NonLinear.nlsolve([dt, update_dt, tmax, t0, ...])	Solve the non linear problem using the newton-raphson algorithm.
NonLinear.reset()
NonLinear.save_results([iterOutput])
NonLinear.set_A(A)
NonLinear.set_B(B)
NonLinear.set_D(D)
NonLinear.set_X(value)
NonLinear.set_active(name)	Define the active Problem from its name.
NonLinear.set_dof_solution(name, value)
NonLinear.set_nr_criterion([criterion])	Define the convergence criterion of the newton raphson algorith.
NonLinear.set_solver([solver])	Define the solver for the linear system resolution.
NonLinear.set_start([save_results, callback])
NonLinear.solve(**kargs)
NonLinear.solve_time_increment([...])
NonLinear.to_start()
NonLinear.update([compute, updateWeakForm])	Assemble the matrix including the following modification:
NonLinear.updateA()
NonLinear.updateD([start])
NonLinear.update_boundary_conditions()

NonLinear.active
NonLinear.assembly
NonLinear.global_dof
NonLinear.n_dof
NonLinear.n_global_dof
NonLinear.n_iter	Return the number of iterations made to solve the problem.
NonLinear.n_node_dof
NonLinear.name	Return the name of the Problem.
NonLinear.results
NonLinear.solver	Return the current solver used for the problem.
NonLinear.space	Return the ModelingSpace associated to the Problem if defined.
NonLinear.t_fact	Adimensional time used for boundary conditions.
NonLinear.t_fact_old	Previous adimensional time for boundary conditions.
NonLinear.nr_parameters	Parameters to set the newton raphson algorithm: * 'err0': The reference error. Default is None (automatically computed) * 'criterion': Type of convergence test in ['Displacement', 'Force', 'Work']. Default is 'Displacement'. * 'tol': Error tolerance for convergence. Default is 1e-3. * 'max_subiter': Number of nr iteration before returning a convergence error. Default is 5. * 'norm_type': define the norm used to test the criterion Use numpy.inf for the max value. Default is 2.
NonLinear.bc	Boundary conditions defined on the problem.