/* ---------------------------------------------------------------------- This is the ██╗ ██╗ ██████╗ ██████╗ ██████╗ ██╗ ██╗████████╗███████╗ ██║ ██║██╔════╝ ██╔════╝ ██╔════╝ ██║ ██║╚══██╔══╝██╔════╝ ██║ ██║██║ ███╗██║ ███╗██║ ███╗███████║ ██║ ███████╗ ██║ ██║██║ ██║██║ ██║██║ ██║██╔══██║ ██║ ╚════██║ ███████╗██║╚██████╔╝╚██████╔╝╚██████╔╝██║ ██║ ██║ ███████║ ╚══════╝╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚══════╝® DEM simulation engine, released by DCS Computing Gmbh, Linz, Austria http://www.dcs-computing.com, office@dcs-computing.com LIGGGHTS® is part of CFDEM®project: http://www.liggghts.com | http://www.cfdem.com Core developer and main author: Christoph Kloss, christoph.kloss@dcs-computing.com LIGGGHTS® is open-source, distributed under the terms of the GNU Public License, version 2 or later. It is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. You should have received a copy of the GNU General Public License along with LIGGGHTS®. If not, see http://www.gnu.org/licenses . See also top-level README and LICENSE files. LIGGGHTS® and CFDEM® are registered trade marks of DCS Computing GmbH, the producer of the LIGGGHTS® software and the CFDEM®coupling software See http://www.cfdem.com/terms-trademark-policy for details. ------------------------------------------------------------------------- Contributing author and copyright for this file: Andreas Aigner (JKU Linz)) Copyright 2009-2012 JKU Linz ------------------------------------------------------------------------- */ #ifdef SPH_KERNEL_CLASS // kernel identifier (a unique integer >= 0) // a name for the kernel // name of the functions for the kernel, its derivative, and the cutoff are defined SPHKernel ( 4, spiky, sph_kernel_spiky, sph_kernel_spiky_der, sph_kernel_spiky_cut ) #else #ifndef LMP_SPH_KERNEL_SPIKY #define LMP_SPH_KERNEL_SPIKY namespace SPH_KERNEL_NS { inline double sph_kernel_spiky(double s, double h, double hinv); inline double sph_kernel_spiky_der(double s, double h, double hinv); inline double sph_kernel_spiky_cut(); } /* ---------------------------------------------------------------------- Cubic spline SPH kernel h is kernel parameter s is distance normalized by h 4.7746 is 15 over pi 0.07460388 is 15 over 64*pi ------------------------------------------------------------------------- */ inline double SPH_KERNEL_NS::sph_kernel_spiky(double s, double, double hinv) { if (s < 2.) { return (0.07460388*hinv*hinv*hinv * (2.-s)*(2.-s)*(2.-s)); } else { return 0; } /* if (s < 1.) { return (4.7746*hinv*hinv*hinv * (1.-s)*(1.-s)*(1.-s)); } else { return 0; } */ } /* ---------------------------------------------------------------------- Derivative of cubic spline SPH kernel is equal to grad W if multiplied with radial unit vector h is kernel parameter s is distance normalized by h 14.323944876 is 45 over pi 0.223811639 is 45 over 64*pi ------------------------------------------------------------------------- */ inline double SPH_KERNEL_NS::sph_kernel_spiky_der(double s, double, double hinv) { if (s < 2.) { return (-0.223811639*hinv*hinv*hinv*hinv * (2.-s)*(2.-s)); } else { return 0; } /* if (s < 1.) { return (-14.324*hinv*hinv*hinv*hinv * (1.-s)*(1.-s)); } else { return 0; } */ } /* ---------------------------------------------------------------------- Definition of cubic spline SPH kernel cutoff in terms of s s is normalized distance ------------------------------------------------------------------------- */ inline double SPH_KERNEL_NS::sph_kernel_spiky_cut() { return 2.; /* return 1.; */ } #endif #endif