139 lines
4.7 KiB
C++
139 lines
4.7 KiB
C++
/********************************************************
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* ██████╗ ██████╗████████╗██╗
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* ██╔════╝ ██╔════╝╚══██╔══╝██║
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* ██║ ███╗██║ ██║ ██║
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* ██║ ██║██║ ██║ ██║
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* ╚██████╔╝╚██████╗ ██║ ███████╗
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* ╚═════╝ ╚═════╝ ╚═╝ ╚══════╝
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* Geophysical Computational Tools & Library (GCTL)
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*
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* Copyright (c) 2022 Yi Zhang (yizhang-geo@zju.edu.cn)
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*
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* GCTL is distributed under a dual licensing scheme. You can redistribute
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* it and/or modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation, either version 2
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* of the License, or (at your option) any later version. You should have
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* received a copy of the GNU Lesser General Public License along with this
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* program. If not, see <http://www.gnu.org/licenses/>.
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*
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* If the terms and conditions of the LGPL v.2. would prevent you from using
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* the GCTL, please consider the option to obtain a commercial license for a
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* fee. These licenses are offered by the GCTL's original author. As a rule,
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* licenses are provided "as-is", unlimited in time for a one time fee. Please
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* send corresponding requests to: yizhang-geo@zju.edu.cn. Please do not forget
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* to include some description of your company and the realm of its activities.
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* Also add information on how to contact you by electronic and paper mail.
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******************************************************/
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#include "gctl/core.h"
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#include "gctl/io.h"
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#include "gctl/potential.h"
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using namespace gctl;
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int main(int argc, char const *argv[])
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{
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try
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{
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// set up observation points
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array<point3dc> obes;
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gridspace(point3dc(0, 0, 0), point3dc(100, 0, 0), point3dc(0, 0, 0), point3dc(0, 100, 0), 41, 41, obes);
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gmshio fio("data/cube/cube_sorted", Input);
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array<vertex3dc> nodes;
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array<grav_triangle> eles;
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fio.read_mesh(eles, nodes);
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array<gravtri_para> gpara(eles.size());
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callink_gravity_para(eles, gpara);
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array<double> out_data;
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array<point3dc> out_grad;
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array<tensor> out_tens;
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gobser(out_data, eles, obes, 1.0, ShortMsg);
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save_netcdf_grid("data/cube/cube_gravity", out_data, 41, 41, 0.0, 2.5, 0.0, 2.5, "easting", "northing", "potential");
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gobser(out_grad, eles, obes, 1.0, ShortMsg);
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_grad[i].x;
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "gravity_x");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_grad[i].y;
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "gravity_y");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_grad[i].z;
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "gravity_z");
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gobser(out_tens, eles, obes, 1.0, ShortMsg);
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(0, 0);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_xx");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(0, 1);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_xy");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(0, 2);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_xz");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(1, 0);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_yx");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(1, 1);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_yy");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(1, 2);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_yz");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(2, 0);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_zx");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(2, 1);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_zy");
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for (int i = 0; i < obes.size(); ++i)
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{
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out_data[i] = out_tens[i].at(2, 2);
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}
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append_netcdf_grid("data/cube/cube_gravity", out_data, "easting", "northing", "tensor_zz");
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}
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catch (std::exception &e)
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{
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GCTL_ShowWhatError(e.what(), GCTL_ERROR_ERROR, 0, 0, 0);
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}
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return 0;
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} |