contact.cpp

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/*
 * -------------------------------------------
 * Copyright (c) 2021 - 2026 Prashant K. Jha
 * -------------------------------------------
 * PeriDEM https://github.com/prashjha/PeriDEM
 *
 * Distributed under the Boost Software License, Version 1.0. (See accompanying
 * file LICENSE)
 */
 
#include "contact.h"
#include "damping.h"
#include "policy.h"
#include "wallContact.h"
 
#include "data/modelData.h"
#include "util/io.h"
#include "particle/baseParticle.h"
#include "particle/particleMpi.h"
#include "nsearch/nsearch.h"
#include "util/function.h"
#include "util/matrix.h"
#include "util/vecMethods.h"
#include "util/point.h"
#include "util/parallelUtil.h"
#include "inp/input.h"
 
#include <atomic>
#include <cmath>
#include <chrono>
#include <format>
#include <memory>
#include <vector>
 
#include <taskflow/taskflow/taskflow.hpp>
#include <taskflow/taskflow/algorithm/for_each.hpp>
 
contact::Contact::Contact()
    : d_pairForce(std::make_unique<PairForce>()),
      d_damping(std::make_unique<Damping>()),
      d_wallContact(std::make_unique<MeshedWallContact>()) {}
 
void contact::Contact::setup(data::ModelData &data) {
 
 
  // loop over all particle zones and get minimum value of mesh size
  size_t c = 0;
  for (const auto *p : data.d_particlesListTypeAll) {
 
    auto h = p->getMeshSize();
    if (c == 0) {
      data.d_hMin = h;
      data.d_hMax = h;
      c++;
    }
 
    if (util::isGreater(data.d_hMin, h))
      data.d_hMin = h;
    if (util::isGreater(h, data.d_hMax))
      data.d_hMax = h;
  }
 
  util::io::log(1, std::format("{}: Contact setup\n  hmin = {:.6f}, hmax = {:.6f} \n",
                  data.d_name, data.d_hMin, data.d_hMax));
 
  data.d_maxContactR = 0.;
 
  auto &contactDeck = data.d_particleDeck_p->d_contactDeck;
 
  // Select pair / damping / wall implementations from deck (defaults = current).
  setPairForce(makePairForce(contactDeck.d_frictionLaw));
  setDamping(makeDamping(contactDeck.d_dampingLaw));
  d_useNodeDamping = usesNodeDamping(contactDeck.d_dampingLaw);
  setWallContact(makeWallContact(data.d_modelDeck_p->d_wallContact));
  util::io::log(1, std::format(
      "  Damping_Law = {}, Friction_Law = {}, Correct_Volume = {}\n"
      "  Bond_Break = {}, Self_Contact = {}, Wall_Contact = {}\n",
      contactDeck.d_dampingLaw, contactDeck.d_frictionLaw,
      contactDeck.d_correctVolume ? "true" : "false",
      data.d_modelDeck_p->d_bondBreak, data.d_modelDeck_p->d_selfContact,
      data.d_modelDeck_p->d_wallContact));
 
  // Pair bulk modulus from the two contact groups' materials.
  // JSON Contact.K is optional (usually absent).
  std::vector<double> bulk(contactDeck.d_data.size(), -1.);
  for (const auto *p : data.d_particlesListTypeAll) {
    if (p->getMaterial() == nullptr)
      continue;
    const auto cid = p->getGroupId("contact_id");
    if (cid >= bulk.size())
      continue;
    bulk[cid] = p->getMaterial()->computeMaterialProperties(data.dimension()).d_K;
  }
 
  for (size_t i = 0; i < contactDeck.d_data.size(); i++) {
    for (size_t j = 0; j < contactDeck.d_data.size(); j++) {
 
      inp::ContactPairDeck *deck = &(contactDeck.d_data[i][j]);
 
      if (deck->d_computeContactR)
        deck->d_contactR *= data.d_hMin;
 
      if (data.d_maxContactR < deck->d_contactR)
        data.d_maxContactR = deck->d_contactR;
 
      if (bulk[i] > 0. && bulk[j] > 0.)
        deck->d_K = util::equivalentMass(bulk[i], bulk[j]);
 
      // Kn
      deck->d_Kn *= deck->d_KnFactor;
 
      // Beta n
      double log_e = std::log(deck->d_eps);
      deck->d_betan =
          deck->d_betanFactor *
          (-2. * log_e * std::sqrt(1. / (M_PI * M_PI + log_e * log_e)));
 
      util::io::log(1, std::format("  contact_radius = {:.6f}, hmin = {:.6f}, Kn = {:5.3e}, "
                      "Vmax = {:5.3e}, "
                      "betan = {:7.5f}, mu = {:.4f}, kappa = {:5.3e}\n",
                      deck->d_contactR, data.d_hMin, deck->d_Kn, deck->d_vMax,
                      deck->d_betan, deck->d_mu, deck->d_K));
    }
  }
 
}
 
bool contact::Contact::updateSearchParameters(data::ModelData &data) {
 
 
  // initialize parameters
  if (data.d_contNeighUpdateInterval == 0 and
      util::isLess(data.d_contNeighSearchRadius, 1.e-16)) {
    data.d_contNeighUpdateInterval = data.d_particleDeck_p->d_pNeighDeck.d_neighUpdateInterval;
    data.d_contNeighTimestepCounter = data.d_n % data.d_contNeighUpdateInterval;
    data.d_contNeighSearchRadius = data.d_maxContactR * data.d_particleDeck_p->d_pNeighDeck.d_sFactor;
  }
 
  // at data.d_n = 0, this function will be called twice because updateContactNeighborlist() will be
  // called twice: one inside init() and second inside computeForces()
  // so to match data.d_n and data.d_contNeighTimestepCounter in the initial stage of simulation, we need to handle the special case
  if (data.d_n == 0) {
    data.appendKeyData("update_contact_neigh_search_params_init_call_count", 1);
 
    if (int(data.getKeyData("update_contact_neigh_search_params_init_call_count")) == 1)
      return true;
 
    if (int(data.getKeyData("update_contact_neigh_search_params_init_call_count")) == 2) {
      data.d_contNeighTimestepCounter++;
      return (data.d_contNeighTimestepCounter - 1) % data.d_contNeighUpdateInterval == 0;
    }
  }
 
  // handle case of restart
  if (data.d_modelDeck_p->d_isRestartActive and data.d_n == data.d_restartDeck_p->d_step) {
    // assign correct value for restart step
    data.d_contNeighTimestepCounter = data.d_n % data.d_contNeighUpdateInterval;
  }
 
  if (data.d_contNeighUpdateInterval == 1) {
    // further optimization of parameters is not possible
    data.d_contNeighSearchRadius = data.d_maxContactR;
 
    // update counter and return condition for contact search
    data.d_contNeighTimestepCounter++;
    return (data.d_contNeighTimestepCounter - 1) % data.d_contNeighUpdateInterval == 0;
  }
 
  // check if we should proceed with parameter update
  // param update is done at smaller interval than the search itself to avoid
  // scenarios where particles suddenly move with a high velocity
  size_t update_param_interval =
          data.d_contNeighUpdateInterval > 5 ? size_t(
                  0.2 * data.d_contNeighUpdateInterval) : 1;
 
  // check if we ought to update search parameters; if not, return
  if (data.d_contNeighTimestepCounter > 0 and data.d_contNeighTimestepCounter % update_param_interval != 0) {
    // update counter and return condition for contact search
    data.d_contNeighTimestepCounter++;
    return (data.d_contNeighTimestepCounter - 1) % data.d_contNeighUpdateInterval == 0;
  }
 
  // first update the maximum velocity in all particles
  for (auto &pi : data.d_particlesListTypeAll) {
    auto max_v_node = util::methods::maxIndex(data.d_vMag,
                                              pi->d_globStart, pi->d_globEnd);
 
    if (max_v_node > pi->d_globEnd or max_v_node < pi->d_globStart) {
      std::cerr << std::format("Error: max_v_node = {} for "
                               "particle of id = {} is not in the limit.\n",
                               max_v_node, pi->getId())
                << "Particle info = \n"
                << pi->printStr()
                << "\n\n Magnitude of velocity = "
                << data.d_vMag[max_v_node] << "\n";
      exit(EXIT_FAILURE);
    }
 
    data.d_maxVelocityParticlesListTypeAll[pi->getId()]
            = data.d_vMag[max_v_node];
  }
 
  // find max velocity among all particles
  data.d_maxVelocity = util::methods::max(data.d_maxVelocityParticlesListTypeAll);
 
  // now we find the best parameters for contact search
  auto up_interval_old = data.d_contNeighUpdateInterval;
 
  // TO ensure that in data.d_neighUpdateInterval time steps, the search radius is above the
  // distance traveled by object with velocity data.d_maxVelocity
  // also multiply by a safety factor
  double safety_factor = data.d_particleDeck_p->d_pNeighDeck.d_sFactor > 5 ? data.d_particleDeck_p->d_pNeighDeck.d_sFactor : 10;
  auto max_search_r_from_contact_R = data.d_particleDeck_p->d_pNeighDeck.d_sFactor * data.d_maxContactR;
  if (!std::isfinite(data.d_maxVelocity) || data.d_maxVelocity < 0.)
    data.d_maxVelocity = 0.;
  auto max_search_r = data.d_maxVelocity * data.d_currentDt
                      * data.d_particleDeck_p->d_pNeighDeck.d_neighUpdateInterval
                      * safety_factor;
  if (!std::isfinite(max_search_r) || max_search_r < 0.)
    max_search_r = 0.;
 
 
  if (util::isGreater(max_search_r, max_search_r_from_contact_R )) {
 
    data.d_contNeighUpdateInterval = size_t(data.d_maxContactR/(data.d_maxVelocity * data.d_currentDt));
    if (up_interval_old > data.d_contNeighUpdateInterval) {
      // issue warning
      util::io::log(2, std::format("Warning: Contact search radius based on velocity is greater than "
                      "the max contact radius.\n"
                      "Warning: Adjusting contact neighborlist update interval.\n"
                      "{:>13} = {:4.6e}, time step = {}, "
                      "velocity-based r = {:4.6e}, max contact r = {:4.6e}\n",
                      "Time", data.d_time, data.d_n, max_search_r, max_search_r_from_contact_R), data.d_n % data.d_infoN == 0, 3);
    }
 
    data.d_contNeighSearchRadius = max_search_r_from_contact_R;
    // reset time step counter for contact so that the contact list is updated in the current time step
    // and the update cycle starts from the current time step
    data.d_contNeighTimestepCounter = 0;
 
    if (data.d_contNeighUpdateInterval < 1) {
      data.d_contNeighUpdateInterval = 1;
      data.d_contNeighSearchRadius = data.d_maxContactR;
    }
  }
  else {
    // update search radius
    data.d_contNeighSearchRadius = data.d_contNeighUpdateInterval < 2 ? data.d_maxContactR : max_search_r_from_contact_R;
  }
 
  if (up_interval_old > data.d_contNeighUpdateInterval) {
    util::io::log(2, std::format("    Contact neighbor parameters: \n"
                    "      {:48s} = {:d}\n"
                    "      {:48s} = {:d}\n"
                    "      {:48s} = {:d}\n"
                    "      {:48s} = {:4.6e}\n"
                    "      {:48s} = {:4.6e}\n"
                    "      {:48s} = {:4.6e}\n"
                    "      {:48s} = {:4.6e}\n"
                    "      {:48s} = {:4.6e}\n"
                    "      {:48s} = {:4.6e}\n",
                    "time step", data.d_n,
                    "contact neighbor update interval",
                    data.d_contNeighUpdateInterval,
                    "contact neighbor update time step counter",
                    data.d_contNeighTimestepCounter,
                    "search radius", data.d_contNeighSearchRadius,
                    "max contact radius", data.d_maxContactR,
                    "search radius factor", data.d_particleDeck_p->d_pNeighDeck.d_sFactor,
                    "max search r from velocity", max_search_r,
                    "max search r from contact r", max_search_r_from_contact_R,
                    "max velocity", data.d_maxVelocity), data.d_n % data.d_infoN == 0, 3);
  }
 
  // update counter and return condition for contact search
  data.d_contNeighTimestepCounter++;
  return (data.d_contNeighTimestepCounter - 1) % data.d_contNeighUpdateInterval == 0;
 
}
 
void contact::Contact::updateNeighborlist(data::ModelData &data) {
 
 
  auto update = updateSearchParameters(data);
 
  if (!update)
    return;
 
  // update contact neighborlist
 
  // update the point cloud (make sure that data.d_x is updated along with displacement)
  using steady_clock = std::chrono::steady_clock;
  const bool mpi_prune =
      util::parallel::isMpiEnabled() &&
      data.d_mpiIncludeInContactCloud.size() == data.d_particlesListTypeAll.size();
 
  // Particle-MPI: pruned cloud (owned + ghost grains + walls).
  // DOF-MPI: full cloud — nodes of one grain may sit on many ranks.
  std::vector<util::Point> local_cloud;
  std::vector<size_t> local_to_global;
  std::vector<size_t> local_pt_id;
  std::unique_ptr<nsearch::NFlannSearchKd<3>> local_tree;
 
  const bool use_full_cloud = data.d_pdDofMpi;
  const bool use_prune = mpi_prune && !use_full_cloud;
 
  double pt_cloud_update_time = 0.;
  if (use_prune) {
    local_cloud.reserve(data.d_x.size() / static_cast<size_t>(std::max(
                            1, util::parallel::mpiSize())) +
                        1024);
    for (auto *p : data.d_particlesListTypeAll) {
      if (!data.d_mpiIncludeInContactCloud[p->getId()])
        continue;
      for (size_t i = 0; i < p->getNumNodes(); ++i) {
        const size_t g = p->getNodeId(i);
        local_to_global.push_back(g);
        local_pt_id.push_back(p->getId());
        local_cloud.push_back(data.d_x[g]);
      }
    }
    local_tree = std::make_unique<nsearch::NFlannSearchKd<3>>(local_cloud, 0);
    pt_cloud_update_time = local_tree->setInputCloud();
  } else {
    pt_cloud_update_time = data.d_nsearch_p->setInputCloud();
  }
  data.setKeyData("pt_cloud_update_time", pt_cloud_update_time);
  data.appendKeyData("tree_compute_time", pt_cloud_update_time);
  data.appendKeyData("avg_tree_update_time", pt_cloud_update_time/data.d_infoN);
  data.setKeyData("contact_cloud_node_count",
                  static_cast<double>(use_prune ? local_cloud.size()
                                                : data.d_x.size()));
 
  if (data.d_neighC.size() != data.d_x.size())
    data.d_neighC.resize(data.d_x.size());
 
  {
    tf::Executor executor(util::parallel::getNThreads());
    tf::Taskflow taskflow;
 
    // Only query owned grain + wall nodes (d_fContCompNodes). Remote grains
    // stay in the search cloud as neighbors but are not search origins.
    const auto &query_nodes = data.d_fContCompNodes;
    const bool use_local = use_prune;
    taskflow.for_each_index((std::size_t) 0, query_nodes.size(), (std::size_t) 1,
                            [&data, &query_nodes, use_local, &local_to_global,
                             &local_pt_id, &local_tree](std::size_t II) {
      const size_t i = query_nodes[II];
 
      if (data.d_contNeighSearchRadius <= 0. ||
          !std::isfinite(data.d_contNeighSearchRadius))
        return;
 
      const auto &pi = data.d_ptId[i];
      const auto &pi_particle = data.d_particlesListTypeAll[pi];
 
      // Walls still search: contact reaction on the plate/cup needs neighC on
      // wall nodes. Skip only when forces are not computed on this body.
      bool perform_search_based_on_particle = true;
      if (pi_particle->d_allDofsConstrained or !pi_particle->d_computeForce)
        perform_search_based_on_particle = false;
 
      if (perform_search_based_on_particle) {
 
        std::vector<size_t> neighs;
        std::vector<double> sqr_dist;
 
        data.d_neighC[i].clear();
 
        size_t n = 0;
        if (use_local) {
          n = local_tree->radiusSearchExcludeTag(
              data.d_x[i], data.d_contNeighSearchRadius, neighs, sqr_dist,
              data.d_ptId[i], local_pt_id);
          for (auto &li : neighs)
            li = local_to_global[li];
        } else {
          n = data.d_nsearch_p->radiusSearchExcludeTag(
              data.d_x[i], data.d_contNeighSearchRadius, neighs, sqr_dist,
              data.d_ptId[i], data.d_ptId);
        }
 
        if (n > 0) {
          for (auto neigh: neighs) {
            if (neigh != i)
              data.d_neighC[i].push_back(neigh);
          }
        }
      }
    }); // for_each
 
    executor.run(taskflow).get();
  }
 
 
  // handle particle-wall neighborlist (based on the data.d_neighC that we already computed)
  data.d_neighWallNodes.resize(data.d_particlesListTypeAll.size());
  data.d_neighWallNodesDistance.resize(data.d_particlesListTypeAll.size());
  data.d_neighWallNodesCondensed.resize(data.d_particlesListTypeAll.size());
 
  for (auto &pi : data.d_particlesListTypeParticle) {
    // Particle-MPI: grain owner. DOF-MPI: every rank may own nodes of any grain.
    if (!data.d_pdDofMpi && !particle::isLocallyOwned(*pi))
      continue;
 
    data.d_neighWallNodes[pi->getId()].resize(pi->getNumNodes());
    data.d_neighWallNodesDistance[pi->getId()].resize(pi->getNumNodes());
 
    // get all wall nodes that are within contact distance to the nodes of this particle
    {
      tf::Executor executor(util::parallel::getNThreads());
      tf::Taskflow taskflow;
 
      taskflow.for_each_index((std::size_t) 0,
                              pi->getNumNodes(),
                              (std::size_t) 1,
                              [&data, &pi](std::size_t i) {
 
            auto i_glob = pi->getNodeId(i);
            auto yi = data.d_x[i_glob];
 
            const std::vector<size_t> &neighs = data.d_neighC[i_glob];
 
            data.d_neighWallNodes[pi->getId()][i].clear();
            data.d_neighWallNodesDistance[pi->getId()][i].clear();
 
            for (const auto &j_id: neighs) {
 
              auto &ptIdj = data.d_ptId[j_id];
              auto &pj = data.getParticleFromAllList(
                      ptIdj);
 
              // we are only interested in nodes from wall
              if (pj->isWall()) {
                  data.d_neighWallNodes[pi->getId()][i].push_back(j_id);
                  //data.d_neighWallNodesDistance[pi->getId()][i].push_back(Rji);
              }
            }
        }
      ); // for_each
 
      executor.run(taskflow).get();
    }
  } // loop over particles
 
 
}
 
void contact::Contact::computeForces(data::ModelData &data) {
 
  util::io::log(3, "    Computing normal contact force \n");
 
  auto *pair = d_pairForce.get();
  const bool use_node_damping = d_useNodeDamping;
  const bool skip_meshed_wall =
      (d_wallContact && d_wallContact->skipsMeshedGrainWall());
  const bool correct_volume =
      data.d_particleDeck_p->d_contactDeck.d_correctVolume;
  pair->beginStep();
 
  // Diagnostics across contact assembly (max over active pairs this step).
  std::atomic<double> max_pen{0.};
  std::atomic<double> max_fij{0.};
  std::atomic<double> min_rji{1.e300};
  std::atomic<size_t> n_active{0};
  std::atomic<size_t> max_neigh{0};
 
  // Wall force deposits from many grain nodes touch the same wall dof.
  // Keep this loop single-threaded under MPI to avoid races on d_f[wall].
  const unsigned n_workers =
      (util::parallel::isMpiEnabled() ? 1u : util::parallel::getNThreads());
  tf::Executor executor(n_workers);
  tf::Taskflow taskflow;
 
  taskflow.for_each_index((std::size_t) 0,
                          data.d_fContCompNodes.size(),
                          (std::size_t) 1,
                          [&data, pair, use_node_damping, correct_volume,
                           skip_meshed_wall,
                           &max_pen, &max_fij, &min_rji, &n_active,
                           &max_neigh](std::size_t II) {
 
                              auto i = data.d_fContCompNodes[II];
 
                              util::Point force_i = util::Point();
                              util::Point damp_i = util::Point();
 
                              const auto &ptIdi = data.getPtId(i);
                              auto &pi = data.getParticleFromAllList(ptIdi);
 
                              // Under MPI, do not search from walls — grain
                              // nodes deposit Newton-III / volume-scaled forces
                              // onto walls (avoids incomplete wall clouds and
                              // double-counting).
                              if (pi->isWall() && util::parallel::isMpiEnabled())
                                return;
 
                              const auto &yi = data.d_x[i];
                              const auto &vi = data.d_v[i];
                              const double voli = data.d_vol[i];
                              const double hi = pi->getMeshSize();
                              const std::vector<size_t> &neighs = data.d_neighC[i];
                              {
                                size_t nn = neighs.size();
                                size_t prev = max_neigh.load(std::memory_order_relaxed);
                                while (nn > prev &&
                                       !max_neigh.compare_exchange_weak(
                                           prev, nn, std::memory_order_relaxed)) {
                                }
                              }
 
                              for (const auto &j_id: neighs) {
                                if (j_id == i)
                                  continue;
 
                                const auto &ptIdj = data.d_ptId[j_id];
                                if (ptIdj == ptIdi)
                                  continue;
 
                                auto &pj = data.getParticleFromAllList(ptIdj);
                                if (pi->isWall() and pj->isWall())
                                  continue;
 
                                // Analytical walls: skip meshed grain–wall pairs
                                // (handled by WallContact::apply).
                                if (skip_meshed_wall &&
                                    (pi->isWall() || pj->isWall()))
                                  continue;
 
                                const auto &contact =
                                    data.d_particleDeck_p->d_contactDeck.getContact(
                                        pi->getGroupId("contact_id"),
                                        pj->getGroupId("contact_id"));
 
                                const auto yji = data.d_x[j_id] - yi;
                                const double Rji = yji.length();
                                if (Rji > 0. && util::isLess(Rji, contact.d_contactR)) {
                                  const double pen = contact.d_contactR - Rji;
                                  double prev_pen =
                                      max_pen.load(std::memory_order_relaxed);
                                  while (pen > prev_pen &&
                                         !max_pen.compare_exchange_weak(
                                             prev_pen, pen,
                                             std::memory_order_relaxed)) {
                                  }
                                  double prev_r =
                                      min_rji.load(std::memory_order_relaxed);
                                  while (Rji < prev_r &&
                                         !min_rji.compare_exchange_weak(
                                             prev_r, Rji,
                                             std::memory_order_relaxed)) {
                                  }
                                  n_active.fetch_add(1, std::memory_order_relaxed);
                                }
 
                                // Partial Vj near Rc when Correct_Volume=true
                                // (default). false → full Vj (main DEM contact).
                                const double volj_raw = data.d_vol[j_id];
                                const double volj =
                                    correct_volume
                                        ? correctedContactVolume(
                                              volj_raw, Rji, contact.d_contactR,
                                              hi)
                                        : volj_raw;
 
                                Pair p{contact,
                                       yi, data.d_x[j_id],
                                       vi, data.d_v[j_id],
                                       i, j_id,
                                       ptIdi, ptIdj,
                                       voli, volj,
                                       pi->getDensity(), pj->getDensity(),
                                       data.d_currentDt,
                                       pi->isWall(), pj->isWall()};
                                const util::Point fs = pair->springForce(p);
                                util::Point fd;
                                if (use_node_damping)
                                  fd = pair->nodeDampingForce(p);
                                const double fij_mag = (fs + fd).length();
                                if (fij_mag > 0.) {
                                  double prev_f =
                                      max_fij.load(std::memory_order_relaxed);
                                  while (fij_mag > prev_f &&
                                         !max_fij.compare_exchange_weak(
                                             prev_f, fij_mag,
                                             std::memory_order_relaxed)) {
                                  }
                                }
                                force_i += fs;
                                damp_i += fd;
                                // Under MPI, walls do not search (see above), so
                                // deposit Newton-III onto the wall here. Serial
                                // still searches from walls — depositing as well
                                // would double-count and can blow up at contact.
                                if (!pi->isWall() && pj->isWall() &&
                                    util::parallel::isMpiEnabled()) {
                                  // fs is force density on i (∝ Vj used above).
                                  // Deposit Newton-III onto the wall in density
                                  // form using grain/wall volume ratio.
                                  const double scale =
                                      (volj_raw > 0.) ? (voli / volj_raw) : 0.;
                                  data.d_f[j_id] -= scale * fs;
                                }
                              }
 
                              data.d_f[i] += force_i + damp_i;
                          }
  );
 
  executor.run(taskflow).get();
  pair->endStep();
 
  if (d_wallContact)
    d_wallContact->apply(data, pair, use_node_damping);
 
  // Log contact diagnostics near plate onset / whenever pairs go deep.
  const bool periodic = (data.d_infoN > 0 && data.d_n % data.d_infoN == 0);
  const bool deep = max_pen.load() > 0.25 * (data.d_hMin > 0. ? data.d_hMin : 1.);
  const bool hot = max_fij.load() > 1.e2;
  if (periodic || deep || hot) {
    const double mr = min_rji.load();
    // Always emit (bypass debug-level gate); also mirror to stdout.
    util::io::log(
        1,
        std::format("  CONTACT_DIAG n={} t={:.6e} n_active={} max_neigh={} "
                    "max_pen={:.6e} min_Rji={:.6e} max_|fij|={:.6e}\n",
                    data.d_n, data.d_time, n_active.load(), max_neigh.load(),
                    max_pen.load(), (mr < 1.e300 ? mr : -1.), max_fij.load()),
        false, -1, true);
  }
 
  if (d_damping)
    d_damping->apply(data);
}