Line data Source code
1 : // Copyright 2024, UChicago Argonne, LLC
2 : // All Rights Reserved
3 : // Software Name: NEML2 -- the New Engineering material Model Library, version 2
4 : // By: Argonne National Laboratory
5 : // OPEN SOURCE LICENSE (MIT)
6 : //
7 : // Permission is hereby granted, free of charge, to any person obtaining a copy
8 : // of this software and associated documentation files (the "Software"), to deal
9 : // in the Software without restriction, including without limitation the rights
10 : // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
11 : // copies of the Software, and to permit persons to whom the Software is
12 : // furnished to do so, subject to the following conditions:
13 : //
14 : // The above copyright notice and this permission notice shall be included in
15 : // all copies or substantial portions of the Software.
16 : //
17 : // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
18 : // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
19 : // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
20 : // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
21 : // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
22 : // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
23 : // THE SOFTWARE.
24 :
25 : #include "neml2/models/Determinant.h"
26 : #include "neml2/tensors/SR2.h"
27 : #include "neml2/tensors/R2.h"
28 :
29 : namespace neml2
30 : {
31 : using R2Determinant = Determinant<R2>;
32 : using SR2Determinant = Determinant<SR2>;
33 : register_NEML2_object(R2Determinant);
34 : register_NEML2_object(SR2Determinant);
35 :
36 : template <typename T>
37 : OptionSet
38 4 : Determinant<T>::expected_options()
39 : {
40 4 : auto options = Model::expected_options();
41 4 : options.doc() = "Calculate the Jacobian of a second order tensor.";
42 :
43 12 : options.set_input("input") = VariableName(STATE, "F");
44 4 : options.set("input").doc() = "The second order tensor to calculate the determinant of";
45 :
46 12 : options.set_output("determinant") = VariableName(STATE, "J");
47 4 : options.set("determinant").doc() = "The determinant of the input tensor";
48 :
49 4 : return options;
50 0 : }
51 :
52 : template <typename T>
53 1 : Determinant<T>::Determinant(const OptionSet & options)
54 : : Model(options),
55 1 : _F(declare_input_variable<T>("input")),
56 2 : _J(declare_output_variable<Scalar>("determinant"))
57 : {
58 1 : }
59 :
60 : template <typename T>
61 : void
62 2 : Determinant<T>::set_value(bool out, bool dout_din, bool /*d2out_din2*/)
63 : {
64 2 : if (out)
65 1 : _J = T(_F).det();
66 :
67 2 : if (dout_din)
68 1 : if (_F.is_dependent())
69 1 : _J.d(_F) = T(_F).det() * T(_F).inverse().transpose();
70 2 : }
71 :
72 : template class Determinant<R2>;
73 : template class Determinant<SR2>;
74 : } // namespace neml2
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