xref: /honee/qfunctions/setupgeo.h (revision 2b916ea7fa53b5c2584160b9274b1b14ca18ff4f)

// Copyright (c) 2017-2022, Lawrence Livermore National Security, LLC and other CEED contributors.
// All Rights Reserved. See the top-level LICENSE and NOTICE files for details.
//
// SPDX-License-Identifier: BSD-2-Clause
//
// This file is part of CEED:  http://github.com/ceed

/// @file
/// Geometric factors (3D) for Navier-Stokes example using PETSc

#ifndef setup_geo_h
#define setup_geo_h

#include <ceed.h>
#include <math.h>

// *****************************************************************************
// This QFunction sets up the geometric factors required for integration and
//   coordinate transformations
//
// Reference (parent) coordinates: X
// Physical (current) coordinates: x
// Change of coordinate matrix: dxdX_{i,j} = x_{i,j} (indicial notation)
// Inverse of change of coordinate matrix: dXdx_{i,j} = (detJ^-1) * X_{i,j}
//
// All quadrature data is stored in 10 field vector of quadrature data.
//
// We require the determinant of the Jacobian to properly compute integrals of
//   the form: int( v u )
//
// Determinant of Jacobian:
//   detJ = J11*A11 + J21*A12 + J31*A13
//     Jij = Jacobian entry ij
//     Aij = Adjoint ij
//
// Stored: w detJ
//   in q_data[0]
//
// We require the transpose of the inverse of the Jacobian to properly compute
//   integrals of the form: int( gradv u )
//
// Inverse of Jacobian:
//   dXdx_i,j = Aij / detJ
//
// Stored: Aij / detJ
//   in q_data[1:9] as
//   (detJ^-1) * [A11 A12 A13]
//               [A21 A22 A23]
//               [A31 A32 A33]
//
// *****************************************************************************
CEED_QFUNCTION(Setup)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) {
  // *INDENT-OFF*
  // Inputs
  const CeedScalar(*J)[3][CEED_Q_VLA] = (const CeedScalar(*)[3][CEED_Q_VLA])in[0], (*w) = in[1];

  // Outputs
  CeedScalar(*q_data)[CEED_Q_VLA] = (CeedScalar(*)[CEED_Q_VLA])out[0];
  // *INDENT-ON*

  CeedPragmaSIMD
      // Quadrature Point Loop
      for (CeedInt i = 0; i < Q; i++) {
    // Setup
    const CeedScalar J11  = J[0][0][i];
    const CeedScalar J21  = J[0][1][i];
    const CeedScalar J31  = J[0][2][i];
    const CeedScalar J12  = J[1][0][i];
    const CeedScalar J22  = J[1][1][i];
    const CeedScalar J32  = J[1][2][i];
    const CeedScalar J13  = J[2][0][i];
    const CeedScalar J23  = J[2][1][i];
    const CeedScalar J33  = J[2][2][i];
    const CeedScalar A11  = J22 * J33 - J23 * J32;
    const CeedScalar A12  = J13 * J32 - J12 * J33;
    const CeedScalar A13  = J12 * J23 - J13 * J22;
    const CeedScalar A21  = J23 * J31 - J21 * J33;
    const CeedScalar A22  = J11 * J33 - J13 * J31;
    const CeedScalar A23  = J13 * J21 - J11 * J23;
    const CeedScalar A31  = J21 * J32 - J22 * J31;
    const CeedScalar A32  = J12 * J31 - J11 * J32;
    const CeedScalar A33  = J11 * J22 - J12 * J21;
    const CeedScalar detJ = J11 * A11 + J21 * A12 + J31 * A13;

    // Qdata
    // -- Interp-to-Interp q_data
    q_data[0][i] = w[i] * detJ;
    // -- Interp-to-Grad q_data
    // Inverse of change of coordinate matrix: X_i,j
    q_data[1][i] = A11 / detJ;
    q_data[2][i] = A12 / detJ;
    q_data[3][i] = A13 / detJ;
    q_data[4][i] = A21 / detJ;
    q_data[5][i] = A22 / detJ;
    q_data[6][i] = A23 / detJ;
    q_data[7][i] = A31 / detJ;
    q_data[8][i] = A32 / detJ;
    q_data[9][i] = A33 / detJ;

  }  // End of Quadrature Point Loop

  // Return
  return 0;
}

// *****************************************************************************
// This QFunction sets up the geometric factor required for integration when
//   reference coordinates are in 2D and the physical coordinates are in 3D
//
// Reference (parent) 2D coordinates: X
// Physical (current) 3D coordinates: x
// Change of coordinate matrix:
//   dxdX_{i,j} = dx_i/dX_j (indicial notation) [3 * 2]
// Inverse change of coordinate matrix:
//   dXdx_{i,j} = dX_i/dx_j (indicial notation) [2 * 3]
//
// (J1,J2,J3) is given by the cross product of the columns of dxdX_{i,j}
//
// detJb is the magnitude of (J1,J2,J3)
//
// dXdx is calculated via Moore–Penrose inverse:
//
//   dX_i/dx_j = (dxdX^T dxdX)^(-1) dxdX
//             = (dx_l/dX_i * dx_l/dX_k)^(-1) dx_j/dX_k
//
// All quadrature data is stored in 10 field vector of quadrature data.
//
// We require the determinant of the Jacobian to properly compute integrals of
//   the form: int( u v )
//
// Stored: w detJb
//   in q_data_sur[0]
//
// Normal vector = (J1,J2,J3) / detJb
//
//   - TODO Could possibly remove normal vector, as it could be calculated in the Qfunction from dXdx
// Stored: (J1,J2,J3) / detJb
//   in q_data_sur[1:3] as
//   (detJb^-1) * [ J1 ]
//                [ J2 ]
//                [ J3 ]
//
// Stored: dXdx_{i,j}
//   in q_data_sur[4:9] as
//    [dXdx_11 dXdx_12 dXdx_13]
//    [dXdx_21 dXdx_22 dXdx_23]
//
// *****************************************************************************
CEED_QFUNCTION(SetupBoundary)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) {
  // *INDENT-OFF*
  // Inputs
  const CeedScalar(*J)[3][CEED_Q_VLA] = (const CeedScalar(*)[3][CEED_Q_VLA])in[0], (*w) = in[1];
  // Outputs
  CeedScalar(*q_data_sur)[CEED_Q_VLA] = (CeedScalar(*)[CEED_Q_VLA])out[0];

  CeedPragmaSIMD
      // Quadrature Point Loop
      for (CeedInt i = 0; i < Q; i++) {
    // Setup
    const CeedScalar dxdX[3][2] = {
        {J[0][0][i], J[1][0][i]},
        {J[0][1][i], J[1][1][i]},
        {J[0][2][i], J[1][2][i]}
    };
    // *INDENT-ON*
    // J1, J2, and J3 are given by the cross product of the columns of dxdX
    const CeedScalar J1 = dxdX[1][0] * dxdX[2][1] - dxdX[2][0] * dxdX[1][1];
    const CeedScalar J2 = dxdX[2][0] * dxdX[0][1] - dxdX[0][0] * dxdX[2][1];
    const CeedScalar J3 = dxdX[0][0] * dxdX[1][1] - dxdX[1][0] * dxdX[0][1];

    const CeedScalar detJb = sqrt(J1 * J1 + J2 * J2 + J3 * J3);

    // q_data_sur
    // -- Interp-to-Interp q_data_sur
    q_data_sur[0][i] = w[i] * detJb;
    q_data_sur[1][i] = J1 / detJb;
    q_data_sur[2][i] = J2 / detJb;
    q_data_sur[3][i] = J3 / detJb;

    // dxdX_k,j * dxdX_j,k
    CeedScalar dxdXTdxdX[2][2] = {{0.}};
    for (CeedInt j = 0; j < 2; j++) {
      for (CeedInt k = 0; k < 2; k++) {
        for (CeedInt l = 0; l < 3; l++) dxdXTdxdX[j][k] += dxdX[l][j] * dxdX[l][k];
      }
    }

    const CeedScalar detdxdXTdxdX = dxdXTdxdX[0][0] * dxdXTdxdX[1][1] - dxdXTdxdX[1][0] * dxdXTdxdX[0][1];

    // Compute inverse of dxdXTdxdX
    CeedScalar dxdXTdxdX_inv[2][2];
    dxdXTdxdX_inv[0][0] = dxdXTdxdX[1][1] / detdxdXTdxdX;
    dxdXTdxdX_inv[0][1] = -dxdXTdxdX[0][1] / detdxdXTdxdX;
    dxdXTdxdX_inv[1][0] = -dxdXTdxdX[1][0] / detdxdXTdxdX;
    dxdXTdxdX_inv[1][1] = dxdXTdxdX[0][0] / detdxdXTdxdX;

    // Compute dXdx from dxdXTdxdX^-1 and dxdX
    CeedScalar dXdx[2][3] = {{0.}};
    for (CeedInt j = 0; j < 2; j++) {
      for (CeedInt k = 0; k < 3; k++) {
        for (CeedInt l = 0; l < 2; l++) dXdx[j][k] += dxdXTdxdX_inv[l][j] * dxdX[k][l];
      }
    }

    q_data_sur[4][i] = dXdx[0][0];
    q_data_sur[5][i] = dXdx[0][1];
    q_data_sur[6][i] = dXdx[0][2];
    q_data_sur[7][i] = dXdx[1][0];
    q_data_sur[8][i] = dXdx[1][1];
    q_data_sur[9][i] = dXdx[1][2];

  }  // End of Quadrature Point Loop

  // Return
  return 0;
}

// *****************************************************************************

#endif  // setup_geo_h