feat: implement consistent-mass HHT shell dynamics

This commit is contained in:
KOKO\Mimi
2026-09-22 21:38:42 +09:00
parent fec8cf09c2
commit f0dc42a280
41 changed files with 9294 additions and 125 deletions
@@ -0,0 +1,871 @@
#include "fesa/elements/nonlinear_mitc4_inertia.h"
#include <algorithm>
#include <array>
#include <cmath>
#include <cstddef>
#include <limits>
#include <string>
#include <utility>
#include "fesa/elements/finite_rotation.h"
namespace fesa {
namespace {
constexpr std::size_t kNodes = 4U;
constexpr std::size_t kDofs = 24U;
const std::array<double, 3> kGauss{-std::sqrt(3.0 / 5.0), 0.0,
std::sqrt(3.0 / 5.0)};
constexpr std::array<double, 3> kWeights{5.0 / 9.0, 8.0 / 9.0, 5.0 / 9.0};
template <class T>
Result<T> Failure(const std::string& code, const SourceLocation& location,
const std::string& identity, std::string message) {
return Result<T>::Failure(Status::Failure(
FailureCategory::kModel, {{Severity::kError, code, location, "*ELEMENT",
identity, std::move(message)}}));
}
std::string Identity(const std::array<const Node*, kNodes>& nodes) {
std::string identity;
for (const Node* node : nodes) {
if (!identity.empty()) {
identity += "-";
}
identity += node == nullptr ? "?" : node->source_id.source_label_text;
}
return identity;
}
Matrix FrameMatrix(const ShellNodeInitialFrame& frame) {
Matrix result{3U, 3U};
for (std::size_t row = 0U; row < 3U; ++row) {
result(row, 0U) = frame.tangent_a[row];
result(row, 1U) = frame.tangent_b[row];
result(row, 2U) = frame.director[row];
}
return result;
}
bool IsFinite(const Matrix& matrix) {
for (std::size_t row = 0U; row < matrix.Rows(); ++row) {
for (std::size_t column = 0U; column < matrix.Columns(); ++column) {
if (!std::isfinite(matrix(row, column))) {
return false;
}
}
}
return true;
}
bool IsFinite(const Vector& vector) {
for (std::size_t index = 0U; index < vector.Size(); ++index) {
if (!std::isfinite(vector[index])) {
return false;
}
}
return true;
}
/// @brief Carries all derivatives through order three in one nodal rotation.
struct Jet {
double value{};
std::array<double, 3> d{};
std::array<std::array<double, 3>, 3> dd{};
std::array<std::array<std::array<double, 3>, 3>, 3> ddd{};
};
Jet Constant(const double value) { return Jet{value, {}, {}, {}}; }
Jet Variable(const double value, const std::size_t component) {
Jet result = Constant(value);
result.d[component] = 1.0;
return result;
}
Jet operator+(const Jet& left, const Jet& right) {
Jet result{};
result.value = left.value + right.value;
for (std::size_t i = 0U; i < 3U; ++i) {
result.d[i] = left.d[i] + right.d[i];
for (std::size_t j = 0U; j < 3U; ++j) {
result.dd[i][j] = left.dd[i][j] + right.dd[i][j];
for (std::size_t k = 0U; k < 3U; ++k) {
result.ddd[i][j][k] = left.ddd[i][j][k] + right.ddd[i][j][k];
}
}
}
return result;
}
Jet operator-(const Jet& left, const Jet& right) {
Jet result{};
result.value = left.value - right.value;
for (std::size_t i = 0U; i < 3U; ++i) {
result.d[i] = left.d[i] - right.d[i];
for (std::size_t j = 0U; j < 3U; ++j) {
result.dd[i][j] = left.dd[i][j] - right.dd[i][j];
for (std::size_t k = 0U; k < 3U; ++k) {
result.ddd[i][j][k] = left.ddd[i][j][k] - right.ddd[i][j][k];
}
}
}
return result;
}
Jet operator*(const Jet& left, const Jet& right) {
Jet result{};
result.value = left.value * right.value;
for (std::size_t i = 0U; i < 3U; ++i) {
result.d[i] = left.d[i] * right.value + left.value * right.d[i];
for (std::size_t j = 0U; j < 3U; ++j) {
result.dd[i][j] = left.dd[i][j] * right.value + left.d[i] * right.d[j] +
left.d[j] * right.d[i] + left.value * right.dd[i][j];
for (std::size_t k = 0U; k < 3U; ++k) {
result.ddd[i][j][k] =
left.ddd[i][j][k] * right.value + left.dd[i][j] * right.d[k] +
left.dd[i][k] * right.d[j] + left.dd[j][k] * right.d[i] +
left.d[i] * right.dd[j][k] + left.d[j] * right.dd[i][k] +
left.d[k] * right.dd[i][j] + left.value * right.ddd[i][j][k];
}
}
}
return result;
}
Jet Reciprocal(const Jet& value) {
Jet result{};
result.value = 1.0 / value.value;
const double squared = result.value * result.value;
const double cubed = squared * result.value;
const double fourth = cubed * result.value;
for (std::size_t i = 0U; i < 3U; ++i) {
result.d[i] = -value.d[i] * squared;
for (std::size_t j = 0U; j < 3U; ++j) {
result.dd[i][j] =
2.0 * value.d[i] * value.d[j] * cubed - value.dd[i][j] * squared;
for (std::size_t k = 0U; k < 3U; ++k) {
result.ddd[i][j][k] =
-6.0 * value.d[i] * value.d[j] * value.d[k] * fourth +
2.0 *
(value.dd[i][j] * value.d[k] + value.dd[i][k] * value.d[j] +
value.dd[j][k] * value.d[i]) *
cubed -
value.ddd[i][j][k] * squared;
}
}
}
return result;
}
Jet InverseSqrt(const Jet& value) {
Jet result{};
result.value = 1.0 / std::sqrt(value.value);
const double cubed = result.value * result.value * result.value;
const double fifth = cubed * result.value * result.value;
const double seventh = fifth * result.value * result.value;
for (std::size_t i = 0U; i < 3U; ++i) {
result.d[i] = -0.5 * cubed * value.d[i];
for (std::size_t j = 0U; j < 3U; ++j) {
result.dd[i][j] =
0.75 * fifth * value.d[i] * value.d[j] - 0.5 * cubed * value.dd[i][j];
for (std::size_t k = 0U; k < 3U; ++k) {
result.ddd[i][j][k] =
-1.875 * seventh * value.d[i] * value.d[j] * value.d[k] +
0.75 * fifth *
(value.dd[i][j] * value.d[k] + value.dd[i][k] * value.d[j] +
value.dd[j][k] * value.d[i]) -
0.5 * cubed * value.ddd[i][j][k];
}
}
}
return result;
}
Jet Scale(const double scalar, const Jet& value) {
return Constant(scalar) * value;
}
using JetVector = std::array<Jet, 3>;
using JetMatrix = std::array<std::array<Jet, 3>, 3>;
JetVector Multiply(const JetMatrix& matrix, const JetVector& vector) {
JetVector result{Constant(0.0), Constant(0.0), Constant(0.0)};
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
result[row] = result[row] + matrix[row][column] * vector[column];
}
}
return result;
}
JetMatrix Multiply(const JetMatrix& left, const JetMatrix& right) {
JetMatrix result{};
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
result[row][column] = Constant(0.0);
for (std::size_t index = 0U; index < 3U; ++index) {
result[row][column] =
result[row][column] + left[row][index] * right[index][column];
}
}
}
return result;
}
JetMatrix IdentityMatrix() {
JetMatrix result{};
for (std::size_t index = 0U; index < 3U; ++index) {
result[index][index] = Constant(1.0);
}
return result;
}
JetMatrix Skew(const JetVector& value) {
JetMatrix result{};
result[0U][1U] = Scale(-1.0, value[2U]);
result[0U][2U] = value[1U];
result[1U][0U] = value[2U];
result[1U][2U] = Scale(-1.0, value[0U]);
result[2U][0U] = Scale(-1.0, value[1U]);
result[2U][1U] = value[0U];
return result;
}
Jet Dot(const JetVector& left, const JetVector& right) {
Jet result = Constant(0.0);
for (std::size_t component = 0U; component < 3U; ++component) {
result = result + left[component] * right[component];
}
return result;
}
JetMatrix Inverse(const JetMatrix& matrix) {
JetMatrix cofactor{};
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
const std::size_t a = (row + 1U) % 3U;
const std::size_t b = (row + 2U) % 3U;
const std::size_t c = (column + 1U) % 3U;
const std::size_t d = (column + 2U) % 3U;
cofactor[row][column] =
matrix[a][c] * matrix[b][d] - matrix[a][d] * matrix[b][c];
// Cyclic minor ordering already includes the cofactor sign.
}
}
Jet determinant = Constant(0.0);
for (std::size_t column = 0U; column < 3U; ++column) {
determinant = determinant + matrix[0U][column] * cofactor[0U][column];
}
const Jet inverse_determinant = Reciprocal(determinant);
JetMatrix result{};
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
result[row][column] = cofactor[column][row] * inverse_determinant;
}
}
return result;
}
JetMatrix LeftJacobian(const JetVector& phi) {
const JetMatrix skew = Skew(phi);
JetMatrix result = IdentityMatrix();
JetMatrix term = IdentityMatrix();
double factorial = 1.0;
for (std::size_t order = 1U; order <= 32U; ++order) {
term = Multiply(term, skew);
factorial *= static_cast<double>(order + 1U);
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
result[row][column] =
result[row][column] + Scale(1.0 / factorial, term[row][column]);
}
}
}
return result;
}
/// @brief Uses a converged exponential series so D1/D2/D3 share one analytic
/// map.
JetMatrix ExpSkew(const JetVector& phi) {
const JetMatrix skew = Skew(phi);
JetMatrix result = IdentityMatrix();
JetMatrix term = IdentityMatrix();
double factorial = 1.0;
for (std::size_t order = 1U; order <= 32U; ++order) {
term = Multiply(term, skew);
factorial *= static_cast<double>(order);
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
result[row][column] =
result[row][column] + Scale(1.0 / factorial, term[row][column]);
}
}
}
return result;
}
double Determinant(const Vector3& a, const Vector3& b, const Vector3& c) {
return a.Dot(b.Cross(c));
}
/// @brief Checks the scaled physical twenty-dimensional mass without a rank
/// cut.
Status CheckPhysicalMass(const Matrix& mass,
const std::array<Vector3, kNodes>& nulls,
const double length, const SourceLocation& location,
const std::string& identity) {
const auto fail = [&](const std::string& code, const std::string& message) {
return Status::Failure(
FailureCategory::kModel,
{{Severity::kError, code, location, "*ELEMENT", identity, message}});
};
constexpr std::size_t kPhysical = 20U;
Matrix scaled{kDofs, kDofs};
double scale = 0.0;
for (std::size_t row = 0U; row < kDofs; ++row) {
for (std::size_t column = 0U; column < kDofs; ++column) {
scaled(row, column) = mass(row, column) * (row % 6U < 3U ? length : 1.0) *
(column % 6U < 3U ? length : 1.0);
if (mass(row, column) != 0.0 && scaled(row, column) == 0.0) {
return fail("invalid-nonlinear-inertia-positive-mass",
"Physical mass scaling underflowed a nonzero entry.");
}
scale = std::max(scale, std::abs(scaled(row, column)));
}
}
if (!IsFinite(scaled) || !std::isfinite(scale) || !(scale > 0.0)) {
return fail("invalid-nonlinear-inertia-positive-mass",
"Scaled physical mass must have a finite positive scale.");
}
// Scaling by a positive entry preserves conditioning and avoids density
// overflow in the Cholesky and inverse-action norms.
for (std::size_t row = 0U; row < kDofs; ++row) {
for (std::size_t column = 0U; column < kDofs; ++column) {
scaled(row, column) /= scale;
}
}
Matrix complement{kDofs, kPhysical};
for (std::size_t node = 0U; node < kNodes; ++node) {
const Vector3& normal = nulls[node];
std::array<std::size_t, 3> axes{0U, 1U, 2U};
std::stable_sort(axes.begin(), axes.end(),
[&](const std::size_t a, const std::size_t b) {
return std::abs(normal[a]) < std::abs(normal[b]);
});
std::array<Vector3, 2> tangent{};
for (std::size_t column = 0U; column < 2U; ++column) {
std::array<double, 3> axis{};
axis[axes[column]] = 1.0;
Vector3 direction{axis};
direction = direction - direction.Dot(normal) * normal;
for (std::size_t previous = 0U; previous < column; ++previous) {
direction =
direction - direction.Dot(tangent[previous]) * tangent[previous];
}
const double norm = direction.Norm();
if (!std::isfinite(norm) || !(norm > 0.0)) {
return fail("invalid-nonlinear-inertia-null",
"The analytic physical complement must remain finite.");
}
tangent[column] = direction / norm;
}
for (std::size_t row = 0U; row < 3U; ++row) {
complement(6U * node + row, 5U * node + row) = 1.0;
for (std::size_t column = 0U; column < 2U; ++column) {
complement(6U * node + 3U + row, 5U * node + 3U + column) =
tangent[column][row];
}
}
}
double mass_norm = 0.0;
double symmetry_norm = 0.0;
double null_action_norm = 0.0;
for (std::size_t row = 0U; row < kDofs; ++row) {
for (std::size_t column = 0U; column < kDofs; ++column) {
mass_norm = std::hypot(mass_norm, scaled(row, column));
symmetry_norm =
std::hypot(symmetry_norm, scaled(row, column) - scaled(column, row));
}
for (std::size_t node = 0U; node < kNodes; ++node) {
double action = 0.0;
for (std::size_t component = 0U; component < 3U; ++component) {
action +=
scaled(row, 6U * node + 3U + component) * nulls[node][component];
}
null_action_norm = std::hypot(null_action_norm, action);
}
}
double gram_error = 0.0;
double orthogonality_error = 0.0;
for (std::size_t row = 0U; row < kPhysical; ++row) {
for (std::size_t column = 0U; column < kPhysical; ++column) {
double entry = row == column ? -1.0 : 0.0;
for (std::size_t inner = 0U; inner < kDofs; ++inner) {
entry += complement(inner, row) * complement(inner, column);
}
gram_error = std::hypot(gram_error, entry);
}
for (std::size_t node = 0U; node < kNodes; ++node) {
double entry = 0.0;
for (std::size_t component = 0U; component < 3U; ++component) {
entry += complement(6U * node + 3U + component, row) *
nulls[node][component];
}
orthogonality_error = std::hypot(orthogonality_error, entry);
}
}
double null_gram_error = 0.0;
for (const Vector3& normal : nulls) {
null_gram_error = std::hypot(null_gram_error, normal.Dot(normal) - 1.0);
}
const double full_gram_error = std::hypot(
gram_error,
std::hypot(null_gram_error, std::sqrt(2.0) * orthogonality_error));
if (!(symmetry_norm / mass_norm <= 1.0e-12) ||
!(null_action_norm / mass_norm / 2.0 <= 1.0e-12) ||
!(full_gram_error <= 1.0e-12)) {
return fail("invalid-nonlinear-inertia-null",
"Scaled mass symmetry and analytic null identities failed.");
}
Matrix block{kPhysical, kPhysical};
Matrix mass_complement{kDofs, kPhysical};
for (std::size_t row = 0U; row < kDofs; ++row) {
for (std::size_t column = 0U; column < kPhysical; ++column) {
for (std::size_t inner = 0U; inner < kDofs; ++inner) {
mass_complement(row, column) +=
scaled(row, inner) * complement(inner, column);
}
}
}
double block_norm = 0.0;
for (std::size_t row = 0U; row < kPhysical; ++row) {
double row_sum = 0.0;
for (std::size_t column = 0U; column < kPhysical; ++column) {
for (std::size_t inner = 0U; inner < kDofs; ++inner) {
block(row, column) +=
complement(inner, row) * mass_complement(inner, column);
}
row_sum += std::abs(block(row, column));
}
block_norm = std::max(block_norm, row_sum);
}
Matrix lower{kPhysical, kPhysical};
for (std::size_t row = 0U; row < kPhysical; ++row) {
for (std::size_t column = 0U; column <= row; ++column) {
double entry = block(row, column);
for (std::size_t inner = 0U; inner < column; ++inner) {
entry -= lower(row, inner) * lower(column, inner);
}
if (!std::isfinite(entry) || (row == column && !(entry > 0.0))) {
return fail(
"invalid-nonlinear-inertia-positive-mass",
"Physical mass requires strictly positive Cholesky pivots.");
}
lower(row, column) =
row == column ? std::sqrt(entry) : entry / lower(column, column);
}
}
std::array<double, kPhysical> inverse_row_sums{};
double reconstruction_error = 0.0;
double block_frobenius = 0.0;
for (std::size_t row = 0U; row < kPhysical; ++row) {
for (std::size_t column = 0U; column < kPhysical; ++column) {
double reconstructed = 0.0;
for (std::size_t inner = 0U; inner <= std::min(row, column); ++inner) {
reconstructed += lower(row, inner) * lower(column, inner);
}
reconstruction_error =
std::hypot(reconstruction_error, reconstructed - block(row, column));
block_frobenius = std::hypot(block_frobenius, block(row, column));
}
}
if (!(reconstruction_error / block_frobenius <= 1.0e-12)) {
return fail("invalid-nonlinear-inertia-positive-mass",
"Physical mass Cholesky reconstruction failed.");
}
for (std::size_t column = 0U; column < kPhysical; ++column) {
std::array<double, kPhysical> solution{};
for (std::size_t row = 0U; row < kPhysical; ++row) {
double rhs = row == column ? 1.0 : 0.0;
for (std::size_t inner = 0U; inner < row; ++inner) {
rhs -= lower(row, inner) * solution[inner];
}
solution[row] = rhs / lower(row, row);
}
for (std::size_t reverse = kPhysical; reverse > 0U; --reverse) {
const std::size_t row = reverse - 1U;
double rhs = solution[row];
for (std::size_t inner = row + 1U; inner < kPhysical; ++inner) {
rhs -= lower(inner, row) * solution[inner];
}
solution[row] = rhs / lower(row, row);
inverse_row_sums[row] += std::abs(solution[row]);
}
}
const double inverse_norm =
*std::max_element(inverse_row_sums.begin(), inverse_row_sums.end());
const double reciprocal_condition = 1.0 / block_norm / inverse_norm;
if (!std::isfinite(inverse_norm) || !std::isfinite(reciprocal_condition) ||
!(reciprocal_condition >= std::ldexp(1.0, -32))) {
return fail("ill-conditioned-nonlinear-inertia-positive-mass",
"Physical mass reciprocal infinity condition is below 2^-32.");
}
return Status::Ok();
}
} // namespace
Result<DynamicRotationKinematics> EvaluateDynamicRotation(
const Vector3& phi_value, const Vector3& initial_director,
const Vector3& velocity, const Vector3& acceleration) {
if (!phi_value.IsFinite() || !initial_director.IsFinite() ||
!velocity.IsFinite() || !acceleration.IsFinite() ||
!(std::abs(initial_director.Norm() - 1.0) <= 1.0e-12) ||
!(std::acos(-1.0) - phi_value.Norm() >
std::sqrt(std::numeric_limits<double>::epsilon()))) {
return Failure<DynamicRotationKinematics>(
"invalid-dynamic-rotation", {{}, 0U}, "DYNAMIC_ROTATION",
"Dynamic rotation requires finite principal coordinates and a unit "
"initial director.");
}
JetVector phi{};
for (std::size_t component = 0U; component < 3U; ++component) {
phi[component] = Variable(phi_value[component], component);
}
const JetVector initial{Constant(initial_director.X()),
Constant(initial_director.Y()),
Constant(initial_director.Z())};
const JetVector director_jet = Multiply(ExpSkew(phi), initial);
const JetMatrix left_jacobian = LeftJacobian(phi);
JetVector null_jet = Multiply(Inverse(left_jacobian), director_jet);
const Jet null_norm_squared = Dot(null_jet, null_jet);
if (!std::isfinite(null_norm_squared.value) ||
!(null_norm_squared.value > 0.0)) {
return Failure<DynamicRotationKinematics>(
"invalid-dynamic-rotation", {{}, 0U}, "DYNAMIC_ROTATION",
"Dynamic rotation produced a nonpositive drilling-null norm.");
}
const Jet inverse_norm = InverseSqrt(null_norm_squared);
for (Jet& component : null_jet) {
component = component * inverse_norm;
}
std::array<double, 3> directional_second{};
std::array<double, 3> angular_velocity{};
std::array<double, 3> angular_acceleration{};
Matrix gradient{3U, 3U};
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
gradient(row, column) = null_jet[row].d[column];
}
}
for (std::size_t row = 0U; row < 3U; ++row) {
double second = 0.0;
double omega = 0.0;
double omega_dot = 0.0;
for (std::size_t column = 0U; column < 3U; ++column) {
omega += left_jacobian[row][column].value * velocity[column];
omega_dot += left_jacobian[row][column].value * acceleration[column];
for (std::size_t other = 0U; other < 3U; ++other) {
second += null_jet[row].dd[column][other] * velocity[column] *
velocity[other];
omega_dot += left_jacobian[row][column].d[other] * velocity[other] *
velocity[column];
}
}
directional_second[row] = second;
angular_velocity[row] = omega;
angular_acceleration[row] = omega_dot;
}
const Vector3 director{director_jet[0U].value, director_jet[1U].value,
director_jet[2U].value};
const Vector3 drill_null{null_jet[0U].value, null_jet[1U].value,
null_jet[2U].value};
const Vector3 directional_second_value{directional_second};
const Vector3 angular_velocity_value{angular_velocity};
const Vector3 angular_acceleration_value{angular_acceleration};
if (!director.IsFinite() || !drill_null.IsFinite() ||
!directional_second_value.IsFinite() ||
!angular_velocity_value.IsFinite() ||
!angular_acceleration_value.IsFinite() || !IsFinite(gradient)) {
return Failure<DynamicRotationKinematics>(
"invalid-dynamic-rotation", {{}, 0U}, "DYNAMIC_ROTATION",
"Dynamic rotation evaluation must remain finite.");
}
DynamicRotationKinematics result{director,
drill_null,
std::move(gradient),
directional_second_value,
angular_velocity_value,
angular_acceleration_value,
{},
{},
{}};
for (std::size_t i = 0U; i < 3U; ++i) {
result.director_first[i] = {director_jet[0].d[i], director_jet[1].d[i],
director_jet[2].d[i]};
for (std::size_t j = 0U; j < 3U; ++j) {
result.director_second[i][j] = {director_jet[0].dd[i][j],
director_jet[1].dd[i][j],
director_jet[2].dd[i][j]};
for (std::size_t k = 0U; k < 3U; ++k) {
result.director_third[i][j][k] = {director_jet[0].ddd[i][j][k],
director_jet[1].ddd[i][j][k],
director_jet[2].ddd[i][j][k]};
}
}
}
return Result<DynamicRotationKinematics>::Success(std::move(result));
}
NonlinearMitc4Inertia::NonlinearMitc4Inertia(
std::array<Vector3, 4> coordinates, std::array<Matrix, 4> initial_frames,
std::array<Vector3, 4> initial_directors, const double thickness,
const double density, SourceLocation source_location, std::string identity)
: coordinates_(std::move(coordinates)),
initial_frames_(std::move(initial_frames)),
initial_directors_(std::move(initial_directors)),
thickness_(thickness),
density_(density),
source_location_(std::move(source_location)),
identity_(std::move(identity)) {}
Result<NonlinearMitc4Inertia> NonlinearMitc4Inertia::Create(
std::array<const Node*, 4> nodes,
std::array<ShellNodeInitialFrame, 4> initial_frames,
const ShellSection& section, const LinearElasticMaterial& material,
const double density) {
const std::string identity = Identity(nodes);
if (!std::isfinite(density) || !(density > 0.0)) {
return Failure<NonlinearMitc4Inertia>(
"invalid-nonlinear-inertia-density", section.location, identity,
"Nonlinear MITC4 inertia requires a finite positive density.");
}
const auto shell =
NonlinearMitc4Shell::Create(nodes, initial_frames, section, material);
if (!shell.HasValue()) {
return Result<NonlinearMitc4Inertia>::Failure(shell.GetStatus());
}
std::array<Vector3, kNodes> coordinates{};
std::array<Matrix, kNodes> frames{Matrix{3U, 3U}, Matrix{3U, 3U},
Matrix{3U, 3U}, Matrix{3U, 3U}};
std::array<Vector3, kNodes> directors{};
for (std::size_t node = 0U; node < kNodes; ++node) {
coordinates[node] = Vector3{nodes[node]->coordinates};
frames[node] = FrameMatrix(initial_frames[node]);
directors[node] = Vector3{initial_frames[node].director};
}
NonlinearMitc4Inertia inertia{
coordinates, std::move(frames), directors, section.thickness,
density, nodes[0U]->location, identity};
const auto initial = inertia.Evaluate({}, Vector{kDofs}, Vector{kDofs});
if (!initial.HasValue()) {
return Result<NonlinearMitc4Inertia>::Failure(initial.GetStatus());
}
return Result<NonlinearMitc4Inertia>::Success(std::move(inertia));
}
Result<NonlinearMitc4InertiaEvaluation> NonlinearMitc4Inertia::Evaluate(
const NonlinearMitc4TrialDofs& trial, const Vector& velocity,
const Vector& acceleration) const {
if (velocity.Size() != kDofs || acceleration.Size() != kDofs ||
!IsFinite(velocity) || !IsFinite(acceleration)) {
return Failure<NonlinearMitc4InertiaEvaluation>(
"invalid-nonlinear-inertia-rate", source_location_, identity_,
"Nonlinear MITC4 inertia requires 24 finite rates.");
}
std::array<DynamicRotationKinematics, kNodes> rotations{};
std::array<Vector3, kNodes> nulls{};
double length = 0.0;
for (std::size_t node = 0U; node < kNodes; ++node) {
length = std::max(
length,
(coordinates_[(node + 1U) % kNodes] - coordinates_[node]).Norm());
if (!trial.displacement[node].IsFinite() ||
!MakeFiniteRotationState(trial.rotation_vector[node],
initial_frames_[node])
.HasValue()) {
return Failure<NonlinearMitc4InertiaEvaluation>(
"invalid-nonlinear-inertia-trial", source_location_, identity_,
"Nonlinear MITC4 inertia trial must be in the principal chart.");
}
const auto rotation = EvaluateDynamicRotation(
trial.rotation_vector[node], initial_directors_[node], {}, {});
if (!rotation.HasValue()) {
return Result<NonlinearMitc4InertiaEvaluation>::Failure(
rotation.GetStatus());
}
rotations[node] = rotation.Value();
nulls[node] = rotation.Value().drill_null;
for (std::size_t previous = 0U; previous < node; ++previous) {
if (!(rotations[node].director.Dot(rotations[previous].director) >
-1.0 + 1.0e-8)) {
return Failure<NonlinearMitc4InertiaEvaluation>(
"invalid-nonlinear-inertia-director", source_location_, identity_,
"Nonlinear MITC4 inertia trial directors must not be opposed.");
}
}
}
if (!std::isfinite(length) || !(length > 0.0)) {
return Failure<NonlinearMitc4InertiaEvaluation>(
"invalid-nonlinear-inertia-geometry", source_location_, identity_,
"Nonlinear MITC4 inertia requires a finite positive initial edge.");
}
NonlinearMitc4InertiaEvaluation result{Matrix{kDofs, kDofs},
Matrix{kDofs, kDofs},
Matrix{kDofs, kDofs},
Vector{kDofs},
Vector{kDofs},
0.0,
{},
{},
{},
{}};
for (std::size_t xi = 0U; xi < kGauss.size(); ++xi) {
for (std::size_t eta = 0U; eta < kGauss.size(); ++eta) {
const Mitc4ShapeFunctions shape =
Mitc4Shell::ShapeFunctions(kGauss[xi], kGauss[eta]);
for (std::size_t zeta = 0U; zeta < kGauss.size(); ++zeta) {
const double z = 0.5 * thickness_ * kGauss[zeta];
const double weight = kWeights[xi] * kWeights[eta] * kWeights[zeta];
Vector3 ref_xi{};
Vector3 ref_eta{};
Vector3 ref_zeta{};
Vector3 current_xi{};
Vector3 current_eta{};
Vector3 current_zeta{};
Vector3 position{};
Vector3 velocity_point{};
Vector3 acceleration_point{};
Vector3 convective_point{};
std::array<Vector3, kDofs> h{};
std::array<Vector3, kDofs> velocity_derivative{};
std::array<Vector3, kDofs> position_derivative{};
for (std::size_t node = 0U; node < kNodes; ++node) {
const std::size_t base = 6U * node;
const auto& rotation = rotations[node];
const Vector3 reference =
coordinates_[node] + z * initial_directors_[node];
const Vector3 current = coordinates_[node] +
trial.displacement[node] +
z * rotation.director;
ref_xi = ref_xi + shape.xi_derivatives[node] * reference;
ref_eta = ref_eta + shape.eta_derivatives[node] * reference;
ref_zeta = ref_zeta + 0.5 * thickness_ * shape.values[node] *
initial_directors_[node];
current_xi = current_xi + shape.xi_derivatives[node] * current;
current_eta = current_eta + shape.eta_derivatives[node] * current;
current_zeta = current_zeta + 0.5 * thickness_ * shape.values[node] *
rotation.director;
position = position + shape.values[node] * current;
for (std::size_t component = 0U; component < 3U; ++component) {
std::array<double, 3> translation{};
translation[component] = shape.values[node];
h[base + component] = Vector3{translation};
h[base + 3U + component] =
z * shape.values[node] * rotation.director_first[component];
for (std::size_t other = 0U; other < 3U; ++other) {
const Vector3 second = z * shape.values[node] *
rotation.director_second[component][other];
convective_point =
convective_point + second * velocity[base + 3U + component] *
velocity[base + 3U + other];
velocity_derivative[base + 3U + component] =
velocity_derivative[base + 3U + component] +
2.0 * second * velocity[base + 3U + other];
position_derivative[base + 3U + component] =
position_derivative[base + 3U + component] +
second * acceleration[base + 3U + other];
for (std::size_t third = 0U; third < 3U; ++third) {
position_derivative[base + 3U + component] =
position_derivative[base + 3U + component] +
z * shape.values[node] *
rotation.director_third[component][other][third] *
velocity[base + 3U + other] *
velocity[base + 3U + third];
}
}
}
}
const double jacobian = Determinant(ref_xi, ref_eta, ref_zeta);
const double current_jacobian =
Determinant(current_xi, current_eta, current_zeta);
if (!std::isfinite(jacobian) || !(jacobian > 0.0) ||
!std::isfinite(current_jacobian) || !(current_jacobian > 0.0)) {
return Failure<NonlinearMitc4InertiaEvaluation>(
"invalid-nonlinear-inertia-geometry", source_location_, identity_,
"Inertia requires positive reference and current mass-point "
"Jacobians.");
}
for (std::size_t row = 0U; row < kDofs; ++row) {
velocity_point = velocity_point + h[row] * velocity[row];
acceleration_point = acceleration_point + h[row] * acceleration[row];
}
acceleration_point = acceleration_point + convective_point;
const double scale = density_ * weight * jacobian;
if (!std::isfinite(scale) || !(scale > 0.0)) {
return Failure<NonlinearMitc4InertiaEvaluation>(
"invalid-nonlinear-inertia-positive-mass", source_location_,
identity_,
"Mass-point integration weight must be finite and positive.");
}
result.kinetic_energy +=
0.5 * scale * velocity_point.Dot(velocity_point);
result.momentum = result.momentum + scale * velocity_point;
result.momentum_rate =
result.momentum_rate + scale * acceleration_point;
result.angular_momentum =
result.angular_momentum + scale * position.Cross(velocity_point);
result.angular_momentum_rate =
result.angular_momentum_rate +
scale * position.Cross(acceleration_point);
result.momentum_rate_scale += scale * acceleration_point.Norm();
result.angular_momentum_rate_scale +=
scale * position.Cross(acceleration_point).Norm();
for (std::size_t row = 0U; row < kDofs; ++row) {
result.force[row] += scale * h[row].Dot(acceleration_point);
// Keep c independent of a; subtracting M*a destroys small c values.
result.convective_force[row] += scale * h[row].Dot(convective_point);
for (std::size_t column = 0U; column < kDofs; ++column) {
result.mass(row, column) += scale * h[row].Dot(h[column]);
result.velocity_tangent(row, column) +=
scale * h[row].Dot(velocity_derivative[column]);
double position_entry = h[row].Dot(position_derivative[column]);
if (row / 6U == column / 6U && row % 6U >= 3U &&
column % 6U >= 3U) {
const std::size_t node = row / 6U;
position_entry +=
z * shape.values[node] *
rotations[node]
.director_second[row % 6U - 3U][column % 6U - 3U]
.Dot(acceleration_point);
}
result.position_tangent(row, column) += scale * position_entry;
}
}
}
}
}
if (!IsFinite(result.mass) || !IsFinite(result.position_tangent) ||
!IsFinite(result.velocity_tangent) || !IsFinite(result.force) ||
!IsFinite(result.convective_force) ||
!std::isfinite(result.kinetic_energy) || !result.momentum.IsFinite() ||
!result.angular_momentum.IsFinite() || !result.momentum_rate.IsFinite() ||
!result.angular_momentum_rate.IsFinite() ||
!std::isfinite(result.momentum_rate_scale) ||
!std::isfinite(result.angular_momentum_rate_scale)) {
return Failure<NonlinearMitc4InertiaEvaluation>(
"invalid-nonlinear-inertia-evaluation", source_location_, identity_,
"Nonlinear MITC4 inertia evaluation must remain finite.");
}
const Status physical_mass = CheckPhysicalMass(result.mass, nulls, length,
source_location_, identity_);
if (!physical_mass.IsOk()) {
return Result<NonlinearMitc4InertiaEvaluation>::Failure(physical_mass);
}
return Result<NonlinearMitc4InertiaEvaluation>::Success(std::move(result));
}
} // namespace fesa
+316 -111
View File
@@ -42,9 +42,8 @@ template <class T>
Result<T> Failure(const std::string& code, const SourceLocation& location,
const std::string& identity, std::string message) {
return Result<T>::Failure(Status::Failure(
FailureCategory::kModel,
{{Severity::kError, code, location, "*ELEMENT", identity,
std::move(message)}}));
FailureCategory::kModel, {{Severity::kError, code, location, "*ELEMENT",
identity, std::move(message)}}));
}
/// @brief Builds the stable source label concatenation used by diagnostics.
@@ -134,8 +133,7 @@ bool MakeLocalFrame(const Vector3& midsurface_xi, const Vector3& midsurface_eta,
}
const Vector3 e1_candidate = midsurface_xi - midsurface_xi.Dot(e3) * e3;
const double e1_norm = e1_candidate.Norm();
if (!e1_candidate.IsFinite() || !std::isfinite(e1_norm) ||
!(e1_norm > 0.0)) {
if (!e1_candidate.IsFinite() || !std::isfinite(e1_norm) || !(e1_norm > 0.0)) {
return false;
}
const Vector3 e1 = e1_candidate / e1_norm;
@@ -155,8 +153,7 @@ bool EvaluateGeometry(const std::array<Vector3, kNodeCount>& coordinates,
const double thickness, const double xi, const double eta,
const double zeta, Geometry& geometry) {
const Mitc4ShapeFunctions shape = Mitc4Shell::ShapeFunctions(xi, eta);
const Vector3 reference_xi =
DerivativeSum(shape.xi_derivatives, coordinates);
const Vector3 reference_xi = DerivativeSum(shape.xi_derivatives, coordinates);
const Vector3 reference_eta =
DerivativeSum(shape.eta_derivatives, coordinates);
const Vector3 initial_director_xi =
@@ -218,11 +215,10 @@ Tensor DirectStrain(const Geometry& geometry) {
Tensor strain{};
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
strain[row][column] =
0.5 * (geometry.current_covariant[row].Dot(
geometry.current_covariant[column]) -
geometry.reference_covariant[row].Dot(
geometry.reference_covariant[column]));
strain[row][column] = 0.5 * (geometry.current_covariant[row].Dot(
geometry.current_covariant[column]) -
geometry.reference_covariant[row].Dot(
geometry.reference_covariant[column]));
}
}
strain[2U][2U] = 0.0;
@@ -278,17 +274,17 @@ EngineeringStress Stress(const EngineeringStrain& strain, const double youngs,
const double shear = kShearCorrection * youngs / (2.0 * (1.0 + poisson));
return {factor * (strain[0U] + poisson * strain[1U]),
factor * (poisson * strain[0U] + strain[1U]),
factor * (1.0 - poisson) * 0.5 * strain[2U],
shear * strain[3U], shear * strain[4U]};
factor * (1.0 - poisson) * 0.5 * strain[2U], shear * strain[3U],
shear * strain[4U]};
}
/// @brief Evaluates direct strain at one mandatory edge-midpoint tying point.
bool EvaluateTyingSample(const std::array<Vector3, kNodeCount>& coordinates,
const std::array<Vector3, kNodeCount>& initial_directors,
const std::array<Vector3, kNodeCount>& directors,
const NonlinearMitc4TrialDofs& trial,
const double thickness, const double xi,
const double eta, Tensor& strain) {
bool EvaluateTyingSample(
const std::array<Vector3, kNodeCount>& coordinates,
const std::array<Vector3, kNodeCount>& initial_directors,
const std::array<Vector3, kNodeCount>& directors,
const NonlinearMitc4TrialDofs& trial, const double thickness,
const double xi, const double eta, Tensor& strain) {
Geometry geometry{};
if (!EvaluateGeometry(coordinates, initial_directors, directors, trial,
thickness, xi, eta, 0.0, geometry)) {
@@ -314,12 +310,13 @@ bool EvaluatePoint(const std::array<Vector3, kNodeCount>& coordinates,
Tensor covariant = DirectStrain(point.geometry);
const Mitc4TyingWeights weights = Mitc4Shell::TyingWeights(xi, eta);
covariant[0U][2U] = weights.xi_zeta[0U] * tying_samples[0U][0U][2U] +
weights.xi_zeta[1U] * tying_samples[1U][0U][2U];
weights.xi_zeta[1U] * tying_samples[1U][0U][2U];
covariant[2U][0U] = covariant[0U][2U];
covariant[1U][2U] = weights.eta_zeta[0U] * tying_samples[2U][1U][2U] +
weights.eta_zeta[1U] * tying_samples[3U][1U][2U];
weights.eta_zeta[1U] * tying_samples[3U][1U][2U];
covariant[2U][1U] = covariant[1U][2U];
const Tensor cartesian = CartesianStrain(covariant, point.geometry.reciprocal);
const Tensor cartesian =
CartesianStrain(covariant, point.geometry.reciprocal);
point.strain = LocalEngineering(cartesian, point.geometry.local_frame);
point.stress = Stress(point.strain, youngs, poisson);
return IsFinite(covariant) && IsFinite(cartesian) && IsFinite(point.strain) &&
@@ -372,6 +369,10 @@ struct Jet {
double value{};
std::array<double, kGlobalDofCount> first{};
Hessian second;
double directional_first{};
double directional_second{};
std::array<double, kGlobalDofCount> mixed_first{};
std::array<double, kGlobalDofCount> mixed_second{};
};
using JetVector3 = std::array<Jet, 3>;
@@ -386,9 +387,11 @@ Jet Constant(const double value) {
}
/// @brief Returns one independent global trial coordinate.
Jet Variable(const double value, const std::size_t index) {
Jet Variable(const double value, const std::size_t index,
const double direction = 0.0) {
Jet result = Constant(value);
result.first[index] = 1.0;
result.directional_first = direction;
return result;
}
@@ -396,8 +399,15 @@ Jet Variable(const double value, const std::size_t index) {
Jet operator+(const Jet& left, const Jet& right) {
Jet result{};
result.value = left.value + right.value;
result.directional_first = left.directional_first + right.directional_first;
result.directional_second =
left.directional_second + right.directional_second;
for (std::size_t index = 0U; index < kGlobalDofCount; ++index) {
result.first[index] = left.first[index] + right.first[index];
result.mixed_first[index] =
left.mixed_first[index] + right.mixed_first[index];
result.mixed_second[index] =
left.mixed_second[index] + right.mixed_second[index];
}
for (std::size_t index = 0U; index < kHessianSize; ++index) {
result.second[index] = left.second[index] + right.second[index];
@@ -409,8 +419,15 @@ Jet operator+(const Jet& left, const Jet& right) {
Jet operator-(const Jet& left, const Jet& right) {
Jet result{};
result.value = left.value - right.value;
result.directional_first = left.directional_first - right.directional_first;
result.directional_second =
left.directional_second - right.directional_second;
for (std::size_t index = 0U; index < kGlobalDofCount; ++index) {
result.first[index] = left.first[index] - right.first[index];
result.mixed_first[index] =
left.mixed_first[index] - right.mixed_first[index];
result.mixed_second[index] =
left.mixed_second[index] - right.mixed_second[index];
}
for (std::size_t index = 0U; index < kHessianSize; ++index) {
result.second[index] = left.second[index] - right.second[index];
@@ -422,9 +439,26 @@ Jet operator-(const Jet& left, const Jet& right) {
Jet operator*(const Jet& left, const Jet& right) {
Jet result{};
result.value = left.value * right.value;
result.directional_first = left.directional_first * right.value +
left.value * right.directional_first;
result.directional_second =
left.directional_second * right.value +
2.0 * left.directional_first * right.directional_first +
left.value * right.directional_second;
for (std::size_t index = 0U; index < kGlobalDofCount; ++index) {
result.first[index] =
left.first[index] * right.value + left.value * right.first[index];
result.mixed_first[index] = left.mixed_first[index] * right.value +
left.first[index] * right.directional_first +
left.directional_first * right.first[index] +
left.value * right.mixed_first[index];
result.mixed_second[index] =
left.mixed_second[index] * right.value +
2.0 * left.mixed_first[index] * right.directional_first +
left.first[index] * right.directional_second +
left.directional_second * right.first[index] +
2.0 * left.directional_first * right.mixed_first[index] +
left.value * right.mixed_second[index];
}
for (std::size_t row = 0U; row < kGlobalDofCount; ++row) {
for (std::size_t column = 0U; column < kGlobalDofCount; ++column) {
@@ -442,8 +476,12 @@ Jet operator*(const Jet& left, const Jet& right) {
Jet operator*(const double scalar, const Jet& value) {
Jet result{};
result.value = scalar * value.value;
result.directional_first = scalar * value.directional_first;
result.directional_second = scalar * value.directional_second;
for (std::size_t index = 0U; index < kGlobalDofCount; ++index) {
result.first[index] = scalar * value.first[index];
result.mixed_first[index] = scalar * value.mixed_first[index];
result.mixed_second[index] = scalar * value.mixed_second[index];
}
for (std::size_t index = 0U; index < kHessianSize; ++index) {
result.second[index] = scalar * value.second[index];
@@ -456,11 +494,24 @@ Jet operator*(const Jet& value, const double scalar) { return scalar * value; }
/// @brief Applies a scalar unary function through its first two derivatives.
Jet Compose(const Jet& input, const double value, const double first,
const double second) {
const double second, const double third) {
Jet result{};
result.value = value;
result.directional_first = first * input.directional_first;
result.directional_second =
second * input.directional_first * input.directional_first +
first * input.directional_second;
for (std::size_t index = 0U; index < kGlobalDofCount; ++index) {
result.first[index] = first * input.first[index];
result.mixed_first[index] =
second * input.first[index] * input.directional_first +
first * input.mixed_first[index];
result.mixed_second[index] =
third * input.first[index] * input.directional_first *
input.directional_first +
second * (2.0 * input.mixed_first[index] * input.directional_first +
input.first[index] * input.directional_second) +
first * input.mixed_second[index];
}
for (std::size_t row = 0U; row < kGlobalDofCount; ++row) {
for (std::size_t column = 0U; column < kGlobalDofCount; ++column) {
@@ -476,7 +527,8 @@ Jet Compose(const Jet& input, const double value, const double first,
Jet Reciprocal(const Jet& value) {
const double inverse = 1.0 / value.value;
return Compose(value, inverse, -inverse * inverse,
2.0 * inverse * inverse * inverse);
2.0 * inverse * inverse * inverse,
-6.0 * inverse * inverse * inverse * inverse);
}
/// @brief Divides two second-order trial-coordinate quantities.
@@ -487,19 +539,20 @@ Jet operator/(const Jet& left, const Jet& right) {
/// @brief Computes the analytic square root variation.
Jet Sqrt(const Jet& value) {
const double root = std::sqrt(value.value);
return Compose(value, root, 0.5 / root, -0.25 / (root * root * root));
return Compose(value, root, 0.5 / root, -0.25 / (root * root * root),
0.375 / (root * root * root * root * root));
}
/// @brief Computes the analytic sine variation.
Jet Sin(const Jet& value) {
return Compose(value, std::sin(value.value), std::cos(value.value),
-std::sin(value.value));
-std::sin(value.value), -std::cos(value.value));
}
/// @brief Computes the analytic cosine variation.
Jet Cos(const Jet& value) {
return Compose(value, std::cos(value.value), -std::sin(value.value),
-std::cos(value.value));
-std::cos(value.value), std::sin(value.value));
}
/// @brief Computes the two-argument angle and its analytic first/second map.
@@ -529,15 +582,40 @@ Jet Atan2(const Jet& y, const Jet& x) {
derivative_xx * x.first[row] * x.first[column];
}
}
// Use a bounded ratio for the directional third derivative only. Retain
// the established value/gradient/Hessian reduction above for static runs.
const bool use_x = std::abs(x.value) >= std::abs(y.value);
const Jet ratio = use_x ? y / x : x / y;
const double denominator = 1.0 + ratio.value * ratio.value;
const Jet angle = Compose(ratio, std::atan(ratio.value), 1.0 / denominator,
-2.0 * ratio.value / (denominator * denominator),
(6.0 * ratio.value * ratio.value - 2.0) /
(denominator * denominator * denominator));
const double sign = use_x ? 1.0 : -1.0;
result.directional_first = sign * angle.directional_first;
result.directional_second = sign * angle.directional_second;
for (std::size_t i = 0U; i < kGlobalDofCount; ++i) {
result.mixed_first[i] = sign * angle.mixed_first[i];
result.mixed_second[i] = sign * angle.mixed_second[i];
}
return result;
}
/// @brief Checks every coefficient in an automatic-differentiation quantity.
bool IsFinite(const Jet& value) {
if (!std::isfinite(value.value)) {
if (!std::isfinite(value.value) || !std::isfinite(value.directional_first) ||
!std::isfinite(value.directional_second)) {
return false;
}
return std::all_of(value.first.begin(), value.first.end(),
return std::all_of(value.mixed_first.begin(), value.mixed_first.end(),
[](const double coefficient) {
return std::isfinite(coefficient);
}) &&
std::all_of(value.mixed_second.begin(), value.mixed_second.end(),
[](const double coefficient) {
return std::isfinite(coefficient);
}) &&
std::all_of(value.first.begin(), value.first.end(),
[](const double coefficient) {
return std::isfinite(coefficient);
}) &&
@@ -728,8 +806,39 @@ JetMatrix3 ExpSkew(const JetVector3& rotation) {
(Constant(1.0) - Cos(norm)) / squared_norm;
}
const JetMatrix3 skew = Skew(rotation);
return Add(Add(Identity(), Scale(sine_over_norm, skew)),
Scale(one_minus_cosine_over_norm_squared, Multiply(skew, skew)));
JetMatrix3 result =
Add(Add(Identity(), Scale(sine_over_norm, skew)),
Scale(one_minus_cosine_over_norm_squared, Multiply(skew, skew)));
if (squared_norm.value < 0.25) {
// Third derivatives amplify cancellation in 1-cos(theta). Preserve the
// established static coefficients and use a stable series for the new
// directional derivatives of the complete rotation tensor.
Jet sine_series = Constant(1.0);
Jet cosine_series = Constant(0.5);
Jet power = Constant(1.0);
double sine_coefficient = 1.0;
double cosine_coefficient = 0.5;
for (unsigned int k = 1U; k <= 9U; ++k) {
power = power * squared_norm;
sine_coefficient /= -static_cast<double>((2U * k) * (2U * k + 1U));
cosine_coefficient /= -static_cast<double>((2U * k + 1U) * (2U * k + 2U));
sine_series = sine_series + sine_coefficient * power;
cosine_series = cosine_series + cosine_coefficient * power;
}
const JetMatrix3 stable = Add(Add(Identity(), Scale(sine_series, skew)),
Scale(cosine_series, Multiply(skew, skew)));
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
result[row][column].directional_first =
stable[row][column].directional_first;
result[row][column].directional_second =
stable[row][column].directional_second;
result[row][column].mixed_first = stable[row][column].mixed_first;
result[row][column].mixed_second = stable[row][column].mixed_second;
}
}
}
return result;
}
/// @brief Stores the complete Jet-valued global element trial coordinates.
@@ -741,14 +850,18 @@ struct JetTrial {
/// @brief Lifts one validated nonlinear trial into independent Jet variables.
JetTrial MakeJetTrial(const NonlinearMitc4TrialDofs& trial,
const std::array<Matrix, kNodeCount>& initial_frames) {
const std::array<Matrix, kNodeCount>& initial_frames,
const Vector* direction) {
JetTrial result{};
for (std::size_t node = 0U; node < kNodeCount; ++node) {
for (std::size_t component = 0U; component < 3U; ++component) {
result.displacement[node][component] =
Variable(trial.displacement[node][component], 6U * node + component);
result.displacement[node][component] = Variable(
trial.displacement[node][component], 6U * node + component,
direction == nullptr ? 0.0 : (*direction)[6U * node + component]);
result.rotation[node][component] = Variable(
trial.rotation_vector[node][component], 6U * node + 3U + component);
trial.rotation_vector[node][component], 6U * node + 3U + component,
direction == nullptr ? 0.0
: (*direction)[6U * node + 3U + component]);
}
JetMatrix3 frame{};
for (std::size_t row = 0U; row < 3U; ++row) {
@@ -764,52 +877,42 @@ JetTrial MakeJetTrial(const NonlinearMitc4TrialDofs& trial,
return result;
}
/// @brief Forms one current covariant basis from the exact trial variables.
std::array<JetVector3, 3> CurrentCovariant(
const std::array<Vector3, kNodeCount>& coordinates, const JetTrial& trial,
const double thickness, const double xi, const double eta,
const double zeta) {
const Mitc4ShapeFunctions shape = Mitc4Shell::ShapeFunctions(xi, eta);
JetVector3 displacement_xi{};
JetVector3 displacement_eta{};
JetVector3 director{};
JetVector3 director_xi{};
JetVector3 director_eta{};
Vector3 reference_xi{};
Vector3 reference_eta{};
/// @brief Forms covariant increments directly, preserving exact zero motion.
std::array<JetVector3, 3> CovariantIncrement(
const std::array<Vector3, kNodeCount>& initial_directors,
const JetTrial& trial, const double thickness, const double xi,
const double eta, const double zeta) {
const auto shape = Mitc4Shell::ShapeFunctions(xi, eta);
std::array<JetVector3, 3> increment{};
for (std::size_t node = 0U; node < kNodeCount; ++node) {
reference_xi =
reference_xi + shape.xi_derivatives[node] * coordinates[node];
reference_eta =
reference_eta + shape.eta_derivatives[node] * coordinates[node];
displacement_xi = Add(displacement_xi, Scale(shape.xi_derivatives[node],
trial.displacement[node]));
displacement_eta = Add(displacement_eta, Scale(shape.eta_derivatives[node],
trial.displacement[node]));
director = Add(director, Scale(shape.values[node], trial.director[node]));
director_xi = Add(director_xi,
Scale(shape.xi_derivatives[node], trial.director[node]));
director_eta = Add(
director_eta, Scale(shape.eta_derivatives[node], trial.director[node]));
const auto displacement =
Subtract(trial.displacement[node], trial.displacement[0U]);
const auto director =
Subtract(trial.director[node], ConstantVector(initial_directors[node]));
const auto layer =
Add(displacement, Scale(0.5 * thickness * zeta, director));
increment[0U] =
Add(increment[0U], Scale(shape.xi_derivatives[node], layer));
increment[1U] =
Add(increment[1U], Scale(shape.eta_derivatives[node], layer));
increment[2U] = Add(increment[2U],
Scale(0.5 * thickness * shape.values[node], director));
}
const double half_thickness = 0.5 * thickness;
return {Add(Add(ConstantVector(reference_xi), displacement_xi),
Scale(half_thickness * zeta, director_xi)),
Add(Add(ConstantVector(reference_eta), displacement_eta),
Scale(half_thickness * zeta, director_eta)),
Scale(half_thickness, director)};
return increment;
}
/// @brief Forms the direct covariant Green--Lagrange strain tensor.
JetTensor DirectStrain(const std::array<JetVector3, 3>& current,
JetTensor DirectStrain(const std::array<JetVector3, 3>& increment,
const Geometry& reference) {
JetTensor result{};
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
result[row][column] =
0.5 * (Dot(current[row], current[column]) -
Constant(reference.reference_covariant[row].Dot(
reference.reference_covariant[column])));
0.5 * (Dot(ConstantVector(reference.reference_covariant[row]),
increment[column]) +
Dot(increment[row],
ConstantVector(reference.reference_covariant[column])) +
Dot(increment[row], increment[column]));
}
}
result[2U][2U] = Constant(0.0);
@@ -867,9 +970,9 @@ Jet PhysicalEnergy(const std::array<Vector3, kNodeCount>& coordinates,
return {};
}
tying[point] =
DirectStrain(CurrentCovariant(coordinates, trial, thickness,
tying_locations[point][0U],
tying_locations[point][1U], 0.0),
DirectStrain(CovariantIncrement(initial_directors, trial, thickness,
tying_locations[point][0U],
tying_locations[point][1U], 0.0),
reference);
}
@@ -892,8 +995,8 @@ Jet PhysicalEnergy(const std::array<Vector3, kNodeCount>& coordinates,
return {};
}
JetTensor covariant =
DirectStrain(CurrentCovariant(coordinates, trial, thickness,
surface[0U], surface[1U], zeta),
DirectStrain(CovariantIncrement(initial_directors, trial, thickness,
surface[0U], surface[1U], zeta),
reference);
const Mitc4TyingWeights weights =
Mitc4Shell::TyingWeights(surface[0U], surface[1U]);
@@ -940,11 +1043,41 @@ JetMatrix3 PolarRotation(const JetMatrix3& deformation) {
return result;
}
/// @brief Returns the speed of physical spin for a unit chart null vector.
Jet DrillSpinRate(const JetVector3& phi, const Vector3& director) {
const Jet square = Dot(phi, phi);
Jet coefficient{};
if (square.value < 0.25) {
constexpr std::array<double, 9> series{1.0 / 12.0,
1.0 / 720.0,
1.0 / 30240.0,
1.0 / 1209600.0,
1.0 / 47900160.0,
691.0 / 1307674368000.0,
1.0 / 74724249600.0,
3617.0 / 10670622842880000.0,
43867.0 / 5109094217170944000.0};
coefficient = Constant(series.back());
for (std::size_t i = series.size() - 1U; i > 0U; --i)
coefficient = Constant(series[i - 1U]) + square * coefficient;
} else {
const Jet half = 0.5 * Sqrt(square);
coefficient = (Constant(1.0) - half * Cos(half) * Reciprocal(Sin(half))) *
Reciprocal(square);
}
const auto d0 = ConstantVector(director);
const auto cross = Cross(phi, d0);
const auto inverse_action =
Add(Add(d0, Scale(0.5, cross)), Scale(coefficient, Cross(phi, cross)));
return Reciprocal(Sqrt(Dot(inverse_action, inverse_action)));
}
/// @brief Evaluates the objective numerical drilling potential and variations.
Jet DrillingEnergy(const std::array<Vector3, kNodeCount>& coordinates,
const std::array<Vector3, kNodeCount>& initial_directors,
const JetTrial& trial, const double thickness,
const double drilling_stiffness, bool& valid) {
const double drilling_stiffness, bool& valid, Matrix* metric,
std::array<Jet, 4>* constraints) {
const NonlinearMitc4TrialDofs reference_trial{};
Geometry reference{};
if (!EvaluateGeometry(coordinates, initial_directors, initial_directors,
@@ -953,8 +1086,8 @@ Jet DrillingEnergy(const std::array<Vector3, kNodeCount>& coordinates,
return {};
}
const auto current =
CurrentCovariant(coordinates, trial, thickness, 0.0, 0.0, 0.0);
JetMatrix3 deformation{};
CovariantIncrement(initial_directors, trial, thickness, 0.0, 0.0, 0.0);
JetMatrix3 deformation = Identity();
for (std::size_t row = 0U; row < 3U; ++row) {
for (std::size_t column = 0U; column < 3U; ++column) {
for (std::size_t alpha = 0U; alpha < 3U; ++alpha) {
@@ -991,7 +1124,19 @@ Jet DrillingEnergy(const std::array<Vector3, kNodeCount>& coordinates,
const Jet cosine =
0.5 * (twist[0U][0U] + twist[1U][1U] + twist[2U][2U] - Constant(1.0));
const Jet gamma = Atan2(sine, cosine);
if (constraints != nullptr) {
// n^T grad(Uphys)=0 and Dgamma_j[n_i]=delta_ij/||Jl^-1 d||.
(*constraints)[node] =
drilling_stiffness *
DrillSpinRate(trial.rotation[node], initial_directors[node]) * gamma;
}
energy = energy + 0.5 * drilling_stiffness * gamma * gamma;
for (std::size_t row = 0U; row < kGlobalDofCount; ++row) {
for (std::size_t column = 0U; column < kGlobalDofCount; ++column) {
(*metric)(row, column) +=
drilling_stiffness * gamma.first[row] * gamma.first[column];
}
}
}
if (!IsFinite(energy)) {
valid = false;
@@ -1040,13 +1185,15 @@ Result<NonlinearMitc4Shell> NonlinearMitc4Shell::Create(
for (std::size_t previous = 0U; previous < node; ++previous) {
if (coordinates[node] == coordinates[previous]) {
return Failure<NonlinearMitc4Shell>(
"invalid-nonlinear-shell-geometry", nodes[node]->location,
identity, "Nonlinear MITC4 nodes must have distinct coordinates.");
"invalid-nonlinear-shell-geometry", nodes[node]->location, identity,
"Nonlinear MITC4 nodes must have distinct coordinates.");
}
if (initial_frames[node].node_index == initial_frames[previous].node_index) {
if (initial_frames[node].node_index ==
initial_frames[previous].node_index) {
return Failure<NonlinearMitc4Shell>(
"invalid-nonlinear-shell-frame", nodes[node]->location, identity,
"Nonlinear MITC4 initial frames must identify four distinct nodes.");
"Nonlinear MITC4 initial frames must identify four distinct "
"nodes.");
}
}
}
@@ -1089,7 +1236,8 @@ Result<NonlinearMitc4Shell> NonlinearMitc4Shell::Create(
})) {
return Failure<NonlinearMitc4Shell>(
"invalid-nonlinear-shell-frame", nodes[0U]->location, identity,
"Nonlinear MITC4 initial directors must follow the source positive face.");
"Nonlinear MITC4 initial directors must follow the source positive "
"face.");
}
if (!std::isfinite(section.thickness) || !(section.thickness > 0.0)) {
@@ -1125,14 +1273,14 @@ Result<NonlinearMitc4Shell> NonlinearMitc4Shell::Create(
}
NonlinearMitc4Shell shell{coordinates,
std::move(frames),
directors,
section.thickness,
material.youngs_modulus,
material.poisson_ratio,
linear_stiffness.Value().drilling_stiffness,
nodes[0U]->location,
identity};
std::move(frames),
directors,
section.thickness,
material.youngs_modulus,
material.poisson_ratio,
linear_stiffness.Value().drilling_stiffness,
nodes[0U]->location,
identity};
const auto reference = shell.EvaluateKinematics(NonlinearMitc4TrialDofs{});
if (!reference.HasValue()) {
return Result<NonlinearMitc4Shell>::Failure(reference.GetStatus());
@@ -1150,12 +1298,13 @@ Result<NonlinearMitc4Recovery> NonlinearMitc4Shell::EvaluateKinematics(
"invalid-nonlinear-shell-trial", source_location_, identity_,
"Nonlinear MITC4 trial displacements and rotations must be finite.");
}
const auto state =
MakeFiniteRotationState(trial.rotation_vector[node], initial_frames_[node]);
const auto state = MakeFiniteRotationState(trial.rotation_vector[node],
initial_frames_[node]);
if (!state.HasValue()) {
return Failure<NonlinearMitc4Recovery>(
"invalid-nonlinear-shell-rotation", source_location_, identity_,
"Nonlinear MITC4 trial rotations must remain in the principal chart.");
"Nonlinear MITC4 trial rotations must remain in the principal "
"chart.");
}
directors[node] = state.Value().director;
}
@@ -1185,10 +1334,12 @@ Result<NonlinearMitc4Recovery> NonlinearMitc4Shell::EvaluateKinematics(
for (std::size_t point = 0U; point < tying_locations.size(); ++point) {
if (!EvaluateTyingSample(coordinates_, initial_directors_, directors, trial,
thickness_, tying_locations[point][0U],
tying_locations[point][1U], tying_samples[point])) {
tying_locations[point][1U],
tying_samples[point])) {
return Failure<NonlinearMitc4Recovery>(
"invalid-nonlinear-shell-geometry", source_location_, identity_,
"Nonlinear MITC4 tying-point reference or trial geometry is invalid.");
"Nonlinear MITC4 tying-point reference or trial geometry is "
"invalid.");
}
}
@@ -1198,8 +1349,7 @@ Result<NonlinearMitc4Recovery> NonlinearMitc4Shell::EvaluateKinematics(
ShellMidsurfaceLocation::kGp3, ShellMidsurfaceLocation::kGp4};
const std::array<std::array<double, 2>, 4> surface_points{
std::array<double, 2>{-gauss, -gauss},
std::array<double, 2>{gauss, -gauss},
std::array<double, 2>{gauss, gauss},
std::array<double, 2>{gauss, -gauss}, std::array<double, 2>{gauss, gauss},
std::array<double, 2>{-gauss, gauss}};
constexpr std::array<double, 2> thickness_gauss{-1.0, 1.0};
constexpr std::array<double, 3> stress_zeta{-1.0, 0.0, 1.0};
@@ -1236,12 +1386,12 @@ Result<NonlinearMitc4Recovery> NonlinearMitc4Shell::EvaluateKinematics(
for (std::size_t component = 0U; component < 3U; ++component) {
row.generalized_strain[component] += 0.5 * point.strain[component];
row.generalized_strain[3U + component] +=
3.0 * thickness_sign * gauss * point.strain[component] /
thickness_;
3.0 * thickness_sign * gauss * point.strain[component] / thickness_;
row.section_resultant[component] +=
0.5 * thickness_ * point.stress[component];
row.section_resultant[3U + component] +=
0.25 * thickness_ * thickness_sign * gauss * point.stress[component];
row.section_resultant[3U + component] += 0.25 * thickness_ *
thickness_sign * gauss *
point.stress[component];
}
for (std::size_t component = 0U; component < 2U; ++component) {
row.generalized_strain[6U + component] +=
@@ -1269,9 +1419,10 @@ Result<NonlinearMitc4Recovery> NonlinearMitc4Shell::EvaluateKinematics(
"invalid-nonlinear-shell-geometry", source_location_, identity_,
"Nonlinear MITC4 section-position recovery geometry is invalid.");
}
row.stress[position] = {stress_position[position], stress_zeta[position],
{point.stress[0U], point.stress[1U],
point.stress[2U]}};
row.stress[position] = {
stress_position[position],
stress_zeta[position],
{point.stress[0U], point.stress[1U], point.stress[2U]}};
}
}
@@ -1289,7 +1440,22 @@ Result<NonlinearMitc4Recovery> NonlinearMitc4Shell::RecoverState(
}
Result<NonlinearMitc4InternalEquilibrium> EvaluateInternalResidualAndTangent(
const NonlinearMitc4Shell& element, const NonlinearMitc4TrialDofs& trial) {
const NonlinearMitc4Shell& element, const NonlinearMitc4TrialDofs& trial,
const Vector* coordinate_direction) {
if (coordinate_direction != nullptr) {
if (coordinate_direction->Size() != kGlobalDofCount) {
return Failure<NonlinearMitc4InternalEquilibrium>(
"invalid-nonlinear-shell-equilibrium", element.source_location_,
element.identity_, "The directional derivative requires 24 DOFs.");
}
for (std::size_t i = 0U; i < kGlobalDofCount; ++i) {
if (!std::isfinite((*coordinate_direction)[i])) {
return Failure<NonlinearMitc4InternalEquilibrium>(
"invalid-nonlinear-shell-equilibrium", element.source_location_,
element.identity_, "The directional derivative must be finite.");
}
}
}
const auto recovery = element.EvaluateKinematics(trial);
if (!recovery.HasValue()) {
return Result<NonlinearMitc4InternalEquilibrium>::Failure(
@@ -1297,14 +1463,18 @@ Result<NonlinearMitc4InternalEquilibrium> EvaluateInternalResidualAndTangent(
}
bool valid = true;
const JetTrial jet_trial = MakeJetTrial(trial, element.initial_frames_);
const JetTrial jet_trial =
MakeJetTrial(trial, element.initial_frames_, coordinate_direction);
const Jet physical =
PhysicalEnergy(element.coordinates_, element.initial_directors_,
jet_trial, element.thickness_, element.youngs_modulus_,
element.poisson_ratio_, valid);
Matrix drilling_metric{kGlobalDofCount, kGlobalDofCount};
std::array<Jet, 4> constraints{};
const Jet drilling = DrillingEnergy(
element.coordinates_, element.initial_directors_, jet_trial,
element.thickness_, element.drilling_stiffness_, valid);
element.thickness_, element.drilling_stiffness_, valid, &drilling_metric,
coordinate_direction != nullptr ? &constraints : nullptr);
const Jet internal_energy = physical + drilling;
if (!valid || !IsFinite(internal_energy)) {
return Failure<NonlinearMitc4InternalEquilibrium>(
@@ -1344,8 +1514,43 @@ Result<NonlinearMitc4InternalEquilibrium> EvaluateInternalResidualAndTangent(
std::move(internal_residual), std::move(internal_tangent),
Vector{kGlobalDofCount}, recovery.Value(),
recovery.Value().physical_strain_energy};
if (coordinate_direction != nullptr) {
equilibrium.drilling_constraint = Vector{4U};
equilibrium.drilling_constraint_gradient = Matrix{4U, kGlobalDofCount};
for (std::size_t node = 0U; node < 4U; ++node) {
if (!IsFinite(constraints[node]))
return Failure<NonlinearMitc4InternalEquilibrium>(
"invalid-nonlinear-shell-equilibrium", element.source_location_,
element.identity_,
"Drilling constraint derivatives must remain finite.");
equilibrium.drilling_constraint[node] = constraints[node].value;
equilibrium.drilling_constraint_hessian[node] =
Matrix{kGlobalDofCount, kGlobalDofCount};
for (std::size_t i = 0U; i < kGlobalDofCount; ++i) {
equilibrium.drilling_constraint_gradient(node, i) =
constraints[node].first[i];
for (std::size_t j = 0U; j < kGlobalDofCount; ++j)
equilibrium.drilling_constraint_hessian[node](i, j) =
constraints[node].second[i * kGlobalDofCount + j];
}
}
}
equilibrium.physical_force = Vector{kGlobalDofCount};
equilibrium.drilling_force = Vector{kGlobalDofCount};
equilibrium.drilling_tangent = Matrix{kGlobalDofCount, kGlobalDofCount};
equilibrium.drilling_metric = std::move(drilling_metric);
equilibrium.drilling_energy = drilling.value;
equilibrium.force_directional_second = Vector{kGlobalDofCount};
for (std::size_t index = 0U; index < kGlobalDofCount; ++index) {
equilibrium.internal_force[index] = equilibrium.internal_residual[index];
equilibrium.physical_force[index] = physical.first[index];
equilibrium.drilling_force[index] = drilling.first[index];
equilibrium.force_directional_second[index] =
internal_energy.mixed_second[index];
for (std::size_t column = 0U; column < kGlobalDofCount; ++column) {
equilibrium.drilling_tangent(index, column) =
drilling.second[index * kGlobalDofCount + column];
}
}
return Result<NonlinearMitc4InternalEquilibrium>::Success(
std::move(equilibrium));