#*************************************************************************** #* * #* Copyright (c) 2011, 2012 * #* Jose Luis Cercos Pita * #* * #* This program is free software; you can redistribute it and/or modify * #* it under the terms of the GNU Lesser General Public License (LGPL) * #* as published by the Free Software Foundation; either version 2 of * #* the License, or (at your option) any later version. * #* for detail see the LICENCE text file. * #* * #* This program 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. See the * #* GNU Library General Public License for more details. * #* * #* You should have received a copy of the GNU Library General Public * #* License along with this program; if not, write to the Free Software * #* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 * #* USA * #* * #*************************************************************************** # numpy import numpy as np grav=9.81 class simInitialization: def __init__(self, FSmesh, waves, context=None, queue=None): """ Constructor. @param FSmesh Initial free surface mesh. @param waves Considered simulation waves (A,T,phi,heading). @param context OpenCL context where apply. Only for compatibility, must be None. @param queue OpenCL command queue. Only for compatibility, must be None. """ self.context = context self.queue = queue self.loadData(FSmesh, waves) self.execute() def loadData(self, FSmesh, waves): """ Convert data to numpy format. @param FSmesh Initial free surface mesh. @param waves Considered simulation waves (A,T,phi,heading). """ nx = len(FSmesh) ny = len(FSmesh[0]) nW = len(waves) # Mesh data p = np.ndarray((nx,ny, 3), dtype=np.float32) v = np.ndarray((nx,ny, 3), dtype=np.float32) f = np.ndarray((nx,ny, 3), dtype=np.float32) n = np.ndarray((nx,ny, 3), dtype=np.float32) a = np.ndarray((nx,ny), dtype=np.float32) phi = np.ndarray((nx,ny), dtype=np.float32) Phi = np.ndarray((nx,ny), dtype=np.float32) s = np.ndarray((nx,ny), dtype=np.float32) ss = np.ndarray((nx,ny), dtype=np.float32) for i in range(0, nx): for j in range(0, ny): pos = FSmesh[i][j].pos normal = FSmesh[i][j].normal area = FSmesh[i][j].area p[i,j,0] = pos.x p[i,j,1] = pos.y p[i,j,2] = pos.z v[i,j,0] = 0. v[i,j,1] = 0. v[i,j,2] = 0. f[i,j,0] = 0. f[i,j,1] = 0. f[i,j,2] = 0. n[i,j,0] = normal.x n[i,j,1] = normal.y n[i,j,2] = normal.z a[i,j] = area phi[i,j] = 0. Phi[i,j] = 0. s[i,j] = 0. ss[i,j] = 0. self.fs = {'Nx':nx, 'Ny':ny, 'pos':p, 'vel':v, 'acc':f, \ 'normal':n, 'area':a, 'velPot':phi, 'accPot':Phi, \ 'velSrc':s, 'accSrc':ss} # Waves data w = np.ndarray((nW, 4), dtype=np.float32) for i in range(0,nW): w[i,0] = waves[i][0] w[i,1] = waves[i][1] w[i,2] = waves[i][2] w[i,3] = waves[i][3] self.waves = {'N':nW, 'data':w} # Linear system matrix nF = nx*ny nB = 0 # No body for the moment N = nx*ny + nB self.A = np.ndarray((N, N), dtype=np.float32) def execute(self): """ Compute initial conditions. """ nx = self.fs['Nx'] ny = self.fs['Ny'] for i in range(0,nx): for j in range(0,ny): for w in self.waves['data']: A = w[0] T = w[1] phase = w[2] heading = np.pi*w[3]/180.0 wl = 0.5 * grav / np.pi * T*T k = 2.0*np.pi/wl frec = 2.0*np.pi/T pos = self.fs['pos'][i,j] l = pos[0]*np.cos(heading) + pos[1]*np.sin(heading) amp = A*np.sin(k*l + phase) self.fs['pos'][i,j][2] = self.fs['pos'][i,j][2] + amp amp = frec*A*np.cos(k*l + phase) self.fs['vel'][i,j][2] = self.fs['vel'][i,j][2] - amp amp = frec*frec*A*np.sin(k*l + phase) self.fs['acc'][i,j][2] = self.fs['acc'][i,j][2] - amp amp = grav/frec*A*np.sin(k*l + phase) self.fs['velPot'][i,j] = self.fs['velPot'][i,j] + amp amp = grav*A*np.cos(k*l + phase) self.fs['accPot'][i,j] = self.fs['accPot'][i,j] + amp