Line data    Source code

       1             : //* This file is part of the MOOSE framework
       2             : //* https://mooseframework.inl.gov
       3             : //*
       4             : //* All rights reserved, see COPYRIGHT for full restrictions
       5             : //* https://github.com/idaholab/moose/blob/master/COPYRIGHT
       6             : //*
       7             : //* Licensed under LGPL 2.1, please see LICENSE for details
       8             : //* https://www.gnu.org/licenses/lgpl-2.1.html
       9             : 
      10             : #pragma once
      11             : 
      12             : #include "SolveObject.h"
      13             : 
      14             : // System includes
      15             : #include <string>
      16             : 
      17             : class FixedPointSolve : public SolveObject
      18             : {
      19             : public:
      20             :   FixedPointSolve(Executioner & ex);
      21             : 
      22       58703 :   virtual ~FixedPointSolve() = default;
      23             : 
      24             :   static InputParameters fixedPointDefaultConvergenceParams();
      25             :   static InputParameters validParams();
      26             : 
      27             :   virtual void initialSetup() override;
      28             : 
      29             :   /**
      30             :    * Iteratively solves the FEProblem.
      31             :    * @return True if solver is converged.
      32             :    */
      33             :   virtual bool solve() override;
      34             : 
      35             :   /// Enumeration for fixed point convergence reasons
      36             :   enum class MooseFixedPointConvergenceReason
      37             :   {
      38             :     UNSOLVED = 0,                  /// Not solved yet
      39             :     CONVERGED_NONLINEAR = 1,       /// Main app nonlinear solve converged, FP unassessed
      40             :     CONVERGED_ABS = 2,             /// FP converged by absolute residual tolerance
      41             :     CONVERGED_RELATIVE = 3,        /// FP converged by relative residual tolerance
      42             :     CONVERGED_PP = 4,              /// FP converged by absolute or relative PP tolerance
      43             :     REACH_MAX_ITS = 5,             /// FP converged by hitting max iterations and accepting
      44             :     CONVERGED_OBJECT = 6,          /// FP converged according to Convergence object
      45             :     DIVERGED_MAX_ITS = -1,         /// FP diverged by hitting max iterations
      46             :     DIVERGED_NONLINEAR = -2,       /// Main app nonlinear solve diverged
      47             :     DIVERGED_FAILED_MULTIAPP = -3, /// Multiapp solve diverged
      48             :     DIVERGED_OBJECT = -4           /// FP diverged according to Convergence object
      49             :   };
      50             : 
      51             :   /**
      52             :    * Get the number of fixed point iterations performed
      53             :    * Because this returns the number of fixed point iterations, rather than the current
      54             :    * iteration count (which starts at 0), increment by 1.
      55             :    *
      56             :    * @return Number of fixed point iterations performed
      57             :    */
      58       94683 :   unsigned int numFixedPointIts() const { return _fixed_point_it + 1; }
      59             : 
      60             :   /// Deprecated getter for the number of fixed point iterations
      61             :   unsigned int numPicardIts() const
      62             :   {
      63             :     mooseDeprecated("numPicards() is deprecated. Please use numFixedPointIts() instead.");
      64             : 
      65             :     return _fixed_point_it + 1;
      66             :   }
      67             : 
      68             :   /// Check the solver status
      69             :   MooseFixedPointConvergenceReason checkConvergence() const { return _fixed_point_status; }
      70             : 
      71             :   /// This function checks the _xfem_repeat_step flag set by solve.
      72      254519 :   bool XFEMRepeatStep() const { return _xfem_repeat_step; }
      73             : 
      74             :   /// Set fixed point status
      75       12176 :   void setFixedPointStatus(MooseFixedPointConvergenceReason status)
      76             :   {
      77       12176 :     _fixed_point_status = status;
      78       12176 :   }
      79             : 
      80             :   /// Clear fixed point status
      81         918 :   void clearFixedPointStatus() { _fixed_point_status = MooseFixedPointConvergenceReason::UNSOLVED; }
      82             : 
      83             :   /// Whether or not this has fixed point iterations
      84             :   bool hasFixedPointIteration() { return _has_fixed_point_its; }
      85             : 
      86             :   /// Set relaxation factor for the current solve as a SubApp
      87             :   void setMultiAppRelaxationFactor(Real factor) { _secondary_relaxation_factor = factor; }
      88             : 
      89             :   /// Set relaxation variables for the current solve as a SubApp
      90             :   void setMultiAppTransformedVariables(const std::vector<std::string> & vars)
      91             :   {
      92             :     _secondary_transformed_variables = vars;
      93             :   }
      94             : 
      95             :   /// Set relaxation postprocessors for the current solve as a SubApp
      96           0 :   virtual void setMultiAppTransformedPostprocessors(const std::vector<PostprocessorName> & pps)
      97             :   {
      98           0 :     _secondary_transformed_pps = pps;
      99           0 :   }
     100             : 
     101             :   /**
     102             :    * Allocate storage for the fixed point algorithm.
     103             :    * This creates the system vector of old (older, pre/post solve) variable values and the
     104             :    * array of old (older, pre/post solve) postprocessor values.
     105             :    *
     106             :    * @param primary Whether this routine is to allocate storage for the primary transformed
     107             :    *                quantities (as main app) or the secondary ones (as a subapp)
     108             :    */
     109             :   virtual void allocateStorage(const bool primary) = 0;
     110             : 
     111             :   /// Whether sub-applications are automatically advanced no matter what happens during their solves
     112             :   bool autoAdvance() const;
     113             : 
     114             :   /// Mark the current solve as failed due to external conditions
     115         105 :   void failStep() { _fail_step = true; }
     116             : 
     117             :   /// Print the convergence history of the coupling, at every fixed point iteration
     118             :   virtual void
     119             :   printFixedPointConvergenceHistory(Real initial_norm,
     120             :                                     const std::vector<Real> & timestep_begin_norms,
     121             :                                     const std::vector<Real> & timestep_end_norms) const = 0;
     122             : 
     123             : protected:
     124             :   /**
     125             :    * Returns true if there is relaxation.
     126             :    *
     127             :    * @param primary True if this is the parent app; false if this is a child app.
     128             :    */
     129             :   bool performingRelaxation(const bool primary) const;
     130             : 
     131             :   /**
     132             :    * Saves the current values of the variables, and update the old(er) vectors.
     133             :    *
     134             :    * @param primary Whether this routine is to save the variables for the primary transformed
     135             :    *                quantities (as main app) or the secondary ones (as a subapp)
     136             :    */
     137             :   virtual void saveVariableValues(const bool primary) = 0;
     138             : 
     139             :   /**
     140             :    * Saves the current values of the postprocessors, and update the old(er) vectors.
     141             :    *
     142             :    * @param primary Whether this routine is to save the variables for the primary transformed
     143             :    *                quantities (as main app) or the secondary ones (as a subapp)
     144             :    */
     145             :   virtual void savePostprocessorValues(const bool primary) = 0;
     146             : 
     147             :   /**
     148             :    * Use the fixed point algorithm transform instead of simply using the Picard update
     149             :    * This routine can be used to alternate Picard iterations and fixed point algorithm
     150             :    * updates based on the values of the variables before and after a solve / a Picard iteration.
     151             :    *
     152             :    * @param primary Whether this routine is used for the primary transformed
     153             :    *                quantities (as main app) or the secondary ones (as a subapp)
     154             :    */
     155             :   virtual bool useFixedPointAlgorithmUpdateInsteadOfPicard(const bool primary) = 0;
     156             : 
     157             :   /**
     158             :    * Perform one fixed point iteration or a full solve.
     159             :    *
     160             :    * @param transformed_dofs DoFs targetted by the fixed point algorithm
     161             :    *
     162             :    * @return True if both nonlinear solve and the execution of multiapps are successful.
     163             :    *
     164             :    * Note: this function also set _xfem_repeat_step flag for XFEM. It tracks _xfem_update_count
     165             :    * state.
     166             :    * FIXME: The proper design will be to let XFEM use Picard iteration to control the execution.
     167             :    */
     168             :   virtual bool solveStep(const std::set<dof_id_type> & transformed_dofs);
     169             : 
     170             :   /// Save both the variable and postprocessor values
     171             :   virtual void saveAllValues(const bool primary);
     172             : 
     173             :   /**
     174             :    * Use the fixed point algorithm to transform the postprocessors.
     175             :    * If this routine is not called, the next value of the postprocessors will just be from
     176             :    * the unrelaxed Picard fixed point algorithm.
     177             :    *
     178             :    * @param primary Whether this routine is to save the variables for the primary transformed
     179             :    *                quantities (as main app) or the secondary ones (as a subapp)
     180             :    */
     181             :   virtual void transformPostprocessors(const bool primary) = 0;
     182             : 
     183             :   /**
     184             :    * Use the fixed point algorithm to transform the variables.
     185             :    * If this routine is not called, the next value of the variables will just be from
     186             :    * the unrelaxed Picard fixed point algorithm.
     187             :    *
     188             :    * @param transformed_dofs The dofs that will be affected by the algorithm
     189             :    * @param primary Whether this routine is to save the variables for the primary transformed
     190             :    *                quantities (as main app) or the secondary ones (as a subapp)
     191             :    */
     192             :   virtual void transformVariables(const std::set<dof_id_type> & transformed_dofs,
     193             :                                   const bool primary) = 0;
     194             : 
     195             :   /// Examine the various convergence metrics
     196             :   bool examineFixedPointConvergence(bool & converged);
     197             : 
     198             :   /// Print information about the fixed point convergence
     199             :   void printFixedPointConvergenceReason();
     200             : 
     201             :   /// Whether or not we activate fixed point iteration
     202             :   const bool _has_fixed_point_its;
     203             : 
     204             :   /// Relaxation factor for fixed point Iteration
     205             :   const Real _relax_factor;
     206             :   /// The variables (transferred or not) that are going to be relaxed
     207             :   std::vector<std::string> _transformed_vars; // TODO: make const once relaxed_variables is removed
     208             :   /// The postprocessors (transferred or not) that are going to be relaxed
     209             :   const std::vector<PostprocessorName> _transformed_pps;
     210             :   /// Previous values of the relaxed postprocessors
     211             :   std::vector<std::vector<PostprocessorValue>> _transformed_pps_values;
     212             : 
     213             :   /// Relaxation factor outside of fixed point iteration (used as a subapp)
     214             :   Real _secondary_relaxation_factor;
     215             :   /// Variables to be relaxed outside of fixed point iteration (used as a subapp)
     216             :   std::vector<std::string> _secondary_transformed_variables;
     217             :   /// Postprocessors to be relaxed outside of fixed point iteration (used as a subapp)
     218             :   std::vector<PostprocessorName> _secondary_transformed_pps;
     219             :   /// Previous values of the postprocessors relaxed outside of the fixed point iteration (used as a subapp)
     220             :   std::vector<std::vector<PostprocessorValue>> _secondary_transformed_pps_values;
     221             : 
     222             :   ///@{ Variables used by the fixed point iteration
     223             :   /// fixed point iteration counter
     224             :   unsigned int _fixed_point_it;
     225             :   /// fixed point iteration counter for the main app
     226             :   unsigned int _main_fixed_point_it;
     227             :   /// Status of fixed point solve
     228             :   MooseFixedPointConvergenceReason _fixed_point_status;
     229             :   ///@}
     230             : private:
     231             :   /// Maximum number of xfem updates per step
     232             :   const unsigned int _max_xfem_update;
     233             :   /// Controls whether xfem should update the mesh at the beginning of the time step
     234             :   const bool _update_xfem_at_timestep_begin;
     235             : 
     236             :   /// Counter for number of xfem updates that have been performed in the current step
     237             :   unsigned int _xfem_update_count;
     238             :   /// Whether step should be repeated due to xfem modifying the mesh
     239             :   bool _xfem_repeat_step;
     240             : 
     241             :   /// Time of previous fixed point solve as a subapp
     242             :   Real _old_entering_time;
     243             : 
     244             :   /// force the current step to fail, triggering are repeat with a cut dt
     245             :   bool _fail_step;
     246             : 
     247             :   /// Whether the user has set the auto_advance parameter for handling advancement of
     248             :   /// sub-applications in multi-app contexts
     249             :   const bool _auto_advance_set_by_user;
     250             : 
     251             :   /// The value of auto_advance set by the user for handling advancement of sub-applications in
     252             :   /// multi-app contexts
     253             :   const bool _auto_advance_user_value;
     254             : };