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             : #include "NearestNodeThread.h"
      11             : #include "MooseMesh.h"
      12             : 
      13             : #include "libmesh/threads.h"
      14             : #include "libmesh/node.h"
      15             : 
      16             : #include <cmath>
      17             : 
      18      189327 : NearestNodeThread::NearestNodeThread(
      19      189327 :     const MooseMesh & mesh, std::map<dof_id_type, std::vector<dof_id_type>> & neighbor_nodes)
      20      189327 :   : _max_patch_percentage(0.0), _mesh(mesh), _neighbor_nodes(neighbor_nodes)
      21             : {
      22      189327 : }
      23             : 
      24             : // Splitting Constructor
      25       16352 : NearestNodeThread::NearestNodeThread(NearestNodeThread & x, Threads::split /*split*/)
      26       16352 :   : _max_patch_percentage(x._max_patch_percentage),
      27       16352 :     _mesh(x._mesh),
      28       16352 :     _neighbor_nodes(x._neighbor_nodes)
      29             : {
      30       16352 : }
      31             : 
      32             : /**
      33             :  * Save a patch of nodes that are close to each of the secondary nodes to speed the search algorithm
      34             :  * TODO: This needs to be updated at some point in time.  If the hits into this data structure
      35             :  * approach "the end"
      36             :  * then it may be time to update
      37             :  */
      38             : void
      39      205679 : NearestNodeThread::operator()(const NodeIdRange & range)
      40             : {
      41     1526084 :   for (const auto & node_id : range)
      42             :   {
      43     1320405 :     const Node & node = _mesh.nodeRef(node_id);
      44             : 
      45     1320405 :     const Node * closest_node = NULL;
      46     1320405 :     Real closest_distance = std::numeric_limits<Real>::max();
      47             : 
      48     1320405 :     const std::vector<dof_id_type> & neighbor_nodes = _neighbor_nodes[node_id];
      49             : 
      50     1320405 :     unsigned int n_neighbor_nodes = neighbor_nodes.size();
      51             : 
      52    19080605 :     for (unsigned int k = 0; k < n_neighbor_nodes; k++)
      53             :     {
      54    17760200 :       const Node * cur_node = &_mesh.nodeRef(neighbor_nodes[k]);
      55    17760200 :       Real distance = ((*cur_node) - node).norm();
      56             : 
      57    17760200 :       if (distance < closest_distance)
      58             :       {
      59     2556793 :         Real patch_percentage = static_cast<Real>(k) / static_cast<Real>(n_neighbor_nodes);
      60             : 
      61             :         // Save off the maximum we had to go through the patch to find the closes node
      62     2556793 :         if (patch_percentage > _max_patch_percentage)
      63      406960 :           _max_patch_percentage = patch_percentage;
      64             : 
      65     2556793 :         closest_distance = distance;
      66     2556793 :         closest_node = cur_node;
      67             :       }
      68             :     }
      69             : 
      70     1320405 :     if (closest_distance == std::numeric_limits<Real>::max())
      71             :     {
      72           0 :       for (unsigned int k = 0; k < n_neighbor_nodes; k++)
      73             :       {
      74           0 :         const Node * cur_node = &_mesh.nodeRef(neighbor_nodes[k]);
      75           0 :         if (std::isnan((*cur_node)(0)) || std::isinf((*cur_node)(0)) ||
      76           0 :             std::isnan((*cur_node)(1)) || std::isinf((*cur_node)(1)) ||
      77           0 :             std::isnan((*cur_node)(2)) || std::isinf((*cur_node)(2)))
      78             :           throw MooseException(
      79             :               "Failure in NearestNodeThread because solution contains inf or not-a-number "
      80             :               "entries.  This is likely due to a failed factorization of the Jacobian "
      81           0 :               "matrix.");
      82             :       }
      83           0 :       mooseError("Unable to find nearest node!");
      84             :     }
      85             : 
      86     1320405 :     NearestNodeLocator::NearestNodeInfo & info = _nearest_node_info[node.id()];
      87             : 
      88     1320405 :     info._nearest_node = closest_node;
      89     1320405 :     info._distance = closest_distance;
      90             :   }
      91      205679 : }
      92             : 
      93             : void
      94       16352 : NearestNodeThread::join(const NearestNodeThread & other)
      95             : {
      96             :   // Did the other one go further through the patch than this one?
      97       16352 :   if (other._max_patch_percentage > _max_patch_percentage)
      98        3707 :     _max_patch_percentage = other._max_patch_percentage;
      99             : 
     100       16352 :   _nearest_node_info.insert(other._nearest_node_info.begin(), other._nearest_node_info.end());
     101       16352 : }