From 9b282ecfbcd16c28d1d9f395adc884fc73618675 Mon Sep 17 00:00:00 2001 From: Wolfgang Bangerth Date: Thu, 31 Aug 2017 13:51:44 -0600 Subject: [PATCH] Use automatic tensor unrolling instead of doing it by hand. Also mention the possibility of computing stresses. --- include/deal.II/numerics/data_postprocessor.h | 36 +++++++++++++------ .../data_out_postprocessor_tensor_01.cc | 5 +-- 2 files changed, 29 insertions(+), 12 deletions(-) diff --git a/include/deal.II/numerics/data_postprocessor.h b/include/deal.II/numerics/data_postprocessor.h index 686e611916..9a3745ff8f 100644 --- a/include/deal.II/numerics/data_postprocessor.h +++ b/include/deal.II/numerics/data_postprocessor.h @@ -472,7 +472,7 @@ public: virtual std::vector get_names () const = 0; /** - * This functions returns information about how the individual components of + * This function returns information about how the individual components of * output files that consist of more than one data set are to be * interpreted. * @@ -558,7 +558,7 @@ public: virtual std::vector get_names () const; /** - * This functions returns information about how the individual components of + * This function returns information about how the individual components of * output files that consist of more than one data set are to be * interpreted. Since the current class is meant to be used for a single * scalar result variable, the returned value is obviously @@ -793,7 +793,7 @@ public: virtual std::vector get_names () const; /** - * This functions returns information about how the individual components of + * This function returns information about how the individual components of * output files that consist of more than one data set are to be * interpreted. Since the current class is meant to be used for a single * vector result variable, the returned value is obviously @@ -901,16 +901,26 @@ private: * // want to create tensor-valued outputs), and copy the * // gradients of the solution at the evaluation points * // into the output slots: - * AssertDimension (computed_quantities[p].size(), dim*dim); + * AssertDimension (computed_quantities[p].size(), + * (Tensor<2,dim>::n_independent_components)); * for (unsigned int d=0; d::component_to_unrolled_index(TableIndices<2>(d,e)] * = input_data.solution_gradients[p][d][e]; * } * } * }; * @endcode - * The only thing that is necessary is to add another output to the call + * The only tricky part in this piece of code is how to sort the dim*dim + * elements of the strain tensor into the one vector of computed output + * quantities -- in other words, how to unroll the elements of + * the tensor into the vector. This is facilitated by the + * Tensor::component_to_unrolled_index() function that takes a + * pair of indices that specify a particular element of the + * tensor and returns a vector index that is then used in the code + * above to fill the @p computed_quantities array. + * + * The last thing that is necessary is to add another output to the call * of DataOut::add_vector() in the @p output_results() function of the @p Step8 * class of that example program. The corresponding code snippet would then look * like this: @@ -969,10 +979,11 @@ private: * * for (unsigned int p=0; p::n_independent_components)); * for (unsigned int d=0; d::component_to_unrolled_index(TableIndices<2>(d,e))] * = (input_data.solution_gradients[p][d][e] * + * input_data.solution_gradients[p][e][d]) / 2; @@ -981,10 +992,15 @@ private: * }; * @endcode * - * This leads to the following visualization: + * Using this class in in step-8 leads to the following visualization: * * @image html data_postprocessor_tensor_2.png * + * Given how easy it is to output the strain, it would also not be very + * complicated to write a postprocessor that computes the stress + * in the solution field as the stress is easily computed from the + * strain by multiplication with either the strain-stress tensor or, + * in simple cases, the Lamé constants. * * @ingroup output * @author Wolfgang Bangerth, 2017 @@ -1016,7 +1032,7 @@ public: virtual std::vector get_names () const; /** - * This functions returns information about how the individual components of + * This function returns information about how the individual components of * output files that consist of more than one data set are to be * interpreted. Since the current class is meant to be used for a single * vector result variable, the returned value is obviously diff --git a/tests/numerics/data_out_postprocessor_tensor_01.cc b/tests/numerics/data_out_postprocessor_tensor_01.cc index 1ae5865d26..5fc6ba3fc7 100644 --- a/tests/numerics/data_out_postprocessor_tensor_01.cc +++ b/tests/numerics/data_out_postprocessor_tensor_01.cc @@ -330,10 +330,11 @@ namespace Step8 for (unsigned int p=0; p::n_independent_components)); for (unsigned int d=0; d::component_to_unrolled_index(TableIndices<2>(d,e))] = (input_data.solution_gradients[p][d][e] + input_data.solution_gradients[p][e][d]) / 2; -- 2.39.5