xref: /honee/qfunctions/sgs_dd_utils.h (revision 45101827a72e1dfba25c19c9e7c2f41a3f45f828)
1 // Copyright (c) 2017-2023, Lawrence Livermore National Security, LLC and other CEED contributors.
2 // All Rights Reserved. See the top-level LICENSE and NOTICE files for details.
3 //
4 // SPDX-License-Identifier: BSD-2-Clause
5 //
6 // This file is part of CEED:  http://github.com/ceed
7 
8 /// @file
9 /// Structs and helper functions for data-driven subgrid-stress modeling
10 /// See 'Invariant data-driven subgrid stress modeling in the strain-rate eigenframe for large eddy simulation' 2022 and 'S-frame discrepancy
11 /// correction models for data-informed Reynolds stress closure' 2022
12 
13 #ifndef sgs_dd_utils_h
14 #define sgs_dd_utils_h
15 
16 #include <ceed.h>
17 
18 #include "newtonian_state.h"
19 #include "newtonian_types.h"
20 #include "utils.h"
21 #include "utils_eigensolver_jacobi.h"
22 
23 // @brief Calculate the inverse of the multiplicity, reducing to a single component
24 CEED_QFUNCTION(InverseMultiplicity)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) {
25   const CeedScalar(*multiplicity)[CEED_Q_VLA] = (const CeedScalar(*)[CEED_Q_VLA])in[0];
26   CeedScalar(*inv_multiplicity)               = (CeedScalar(*))out[0];
27 
28   CeedPragmaSIMD for (CeedInt i = 0; i < Q; i++) inv_multiplicity[i] = 1.0 / multiplicity[0][i];
29   return 0;
30 }
31 
32 // @brief Calculate Frobenius norm of velocity gradient from eigenframe quantities
33 CEED_QFUNCTION_HELPER CeedScalar VelocityGradientMagnitude(const CeedScalar strain_sframe[3], const CeedScalar vorticity_sframe[3]) {
34   return sqrt(Dot3(strain_sframe, strain_sframe) + 0.5 * Dot3(vorticity_sframe, vorticity_sframe));
35 };
36 
37 // @brief Change the order of basis vectors so that they align with vector and obey right-hand rule
38 // @details The e_1 and e_3 basis vectors are the closest aligned to the vector. The e_2 is set via  e_3 x e_1
39 // The basis vectors are assumed to form the rows of the basis matrix.
40 CEED_QFUNCTION_HELPER void OrientBasisWithVector(CeedScalar basis[3][3], const CeedScalar vector[3]) {
41   CeedScalar alignment[3] = {0.}, cross[3];
42 
43   MatVec3(basis, vector, CEED_NOTRANSPOSE, alignment);
44 
45   if (alignment[0] < 0) ScaleN(basis[0], -1, 3);
46   if (alignment[2] < 0) ScaleN(basis[2], -1, 3);
47 
48   Cross3(basis[2], basis[0], cross);
49   CeedScalar basis_1_orientation = Dot3(cross, basis[1]);
50   if (basis_1_orientation < 0) ScaleN(basis[1], -1, 3);
51 }
52 
53 // @brief Denormalize outputs using min-max (de-)normalization
54 CEED_QFUNCTION_HELPER void DenormalizeDDOutputs(CeedScalar output[6], const CeedScalar new_bounds[6][2], const CeedScalar old_bounds[6][2]) {
55   CeedScalar bounds_ratio;
56   for (int i = 0; i < 6; i++) {
57     bounds_ratio = (new_bounds[i][1] - new_bounds[i][0]) / (old_bounds[i][1] - old_bounds[i][0]);
58     output[i]    = bounds_ratio * (output[i] - old_bounds[i][1]) + new_bounds[i][1];
59   }
60 }
61 
62 /**
63  * @brief Compute model inputs for anisotropic data-driven model
64  *
65  * @param[in]  grad_velo_aniso     Gradient of velocity in physical (anisotropic) coordinates
66  * @param[in]  km_A_ij             Anisotropy tensor, in Kelvin-Mandel notation
67  * @param[in]  delta               Length used to create anisotropy tensor
68  * @param[in]  viscosity           Kinematic viscosity
69  * @param[out] eigenvectors        Eigenvectors of the (anisotropic) velocity gradient
70  * @param[out] inputs              Data-driven model inputs
71  * @param[out] grad_velo_magnitude Frobenius norm of the velocity gradient
72  */
73 CEED_QFUNCTION_HELPER void ComputeSgsDDInputs(const CeedScalar grad_velo_aniso[3][3], const CeedScalar km_A_ij[6], const CeedScalar delta,
74                                               const CeedScalar viscosity, CeedScalar eigenvectors[3][3], CeedScalar inputs[6],
75                                               CeedScalar *grad_velo_magnitude) {
76   CeedScalar strain_sframe[3] = {0.}, vorticity_sframe[3] = {0.};
77   CeedScalar A_ij[3][3] = {{0.}}, grad_velo_iso[3][3] = {{0.}};
78 
79   // -- Transform physical, anisotropic velocity gradient to isotropic
80   KMUnpack(km_A_ij, A_ij);
81   MatMat3(grad_velo_aniso, A_ij, CEED_NOTRANSPOSE, CEED_NOTRANSPOSE, grad_velo_iso);
82 
83   {  // -- Get Eigenframe
84     CeedScalar kmstrain_iso[6], strain_iso[3][3];
85     CeedInt    work_vector[3] = {0};
86     KMStrainRate(grad_velo_iso, kmstrain_iso);
87     KMUnpack(kmstrain_iso, strain_iso);
88     Diagonalize3(strain_iso, strain_sframe, eigenvectors, work_vector, SORT_DECREASING_EVALS, true, 5);
89   }
90 
91   {  // -- Get vorticity in S-frame
92     CeedScalar rotation_iso[3][3];
93     RotationRate(grad_velo_iso, rotation_iso);
94     CeedScalar vorticity_iso[3] = {-2 * rotation_iso[1][2], 2 * rotation_iso[0][2], -2 * rotation_iso[0][1]};
95     OrientBasisWithVector(eigenvectors, vorticity_iso);
96     MatVec3(eigenvectors, vorticity_iso, CEED_NOTRANSPOSE, vorticity_sframe);
97   }
98 
99   // -- Calculate DD model inputs
100   *grad_velo_magnitude = VelocityGradientMagnitude(strain_sframe, vorticity_sframe);
101   inputs[0]            = strain_sframe[0];
102   inputs[1]            = strain_sframe[1];
103   inputs[2]            = strain_sframe[2];
104   inputs[3]            = vorticity_sframe[0];
105   inputs[4]            = vorticity_sframe[1];
106   inputs[5]            = viscosity / Square(delta);
107   ScaleN(inputs, 1 / (*grad_velo_magnitude + CEED_EPSILON), 6);
108 }
109 
110 /**
111  * @brief Compute the physical SGS stresses from the neural-network output
112  *
113  * @param[in,out] outputs             Outputs from the neural-network
114  * @param[in]     delta               Length used to create anisotropy tensor
115  * @param[in]     eigenvectors        Eigenvectors of the (anisotropic) velocity gradient
116  * @param[in]     new_bounds          Bounds used for min-max de-normalization
117  * @param[in]     grad_velo_magnitude Magnitude of the velocity gradient
118  * @param[out]    kmsgs_stress        Physical SGS stresses in Kelvin-Mandel notation
119  */
120 CEED_QFUNCTION_HELPER void ComputeSgsDDOutputs(CeedScalar outputs[6], const CeedScalar delta, const CeedScalar eigenvectors[3][3],
121                                                const CeedScalar new_bounds[6][2], const CeedScalar grad_velo_magnitude, CeedScalar kmsgs_stress[6]) {
122   CeedScalar old_bounds[6][2] = {{0}};
123   for (int j = 0; j < 6; j++) old_bounds[j][1] = 1;
124   DenormalizeDDOutputs(outputs, new_bounds, old_bounds);
125 
126   // Re-dimensionalize sgs_stress
127   ScaleN(outputs, Square(delta) * Square(grad_velo_magnitude), 6);
128 
129   CeedScalar sgs_stress[3][3] = {{0.}};
130   {  // Rotate SGS Stress back to physical frame, SGS_physical = E^T SGS_sframe E
131     CeedScalar       Evec_sgs[3][3]   = {{0.}};
132     const CeedScalar sgs_sframe[3][3] = {
133         {outputs[0], outputs[3], outputs[4]},
134         {outputs[3], outputs[1], outputs[5]},
135         {outputs[4], outputs[5], outputs[2]},
136     };
137     MatMat3(eigenvectors, sgs_sframe, CEED_TRANSPOSE, CEED_NOTRANSPOSE, Evec_sgs);
138     MatMat3(Evec_sgs, eigenvectors, CEED_NOTRANSPOSE, CEED_NOTRANSPOSE, sgs_stress);
139   }
140 
141   KMPack(sgs_stress, kmsgs_stress);
142 }
143 
144 #endif  // sgs_dd_utils_h
145