Source code for pysph.sph.solid_mech.hvi

"""
Equations for the High Velocity Impact Problems
###############################################
"""

from math import sqrt
from pysph.sph.equation import Equation

[docs]class VonMisesPlasticity2D(Equation): def __init__(self, dest, sources, flow_stress): self.flow_stress2 = float(flow_stress*flow_stress) self.factor = sqrt( 2.0/3.0 )*flow_stress super(VonMisesPlasticity2D,self).__init__(dest, sources)
[docs] def loop(self, d_idx, d_s00, d_s01, d_s02, d_s11, d_s12, d_s22): s00a = d_s00[d_idx] s01a = d_s01[d_idx] s02a = d_s02[d_idx] s10a = d_s01[d_idx] s11a = d_s11[d_idx] s12a = d_s12[d_idx] s20a = d_s02[d_idx] s21a = d_s12[d_idx] s22a = d_s22[d_idx] J = s00a* s00a + 2.0 * s01a*s10a + s11a*s11a scale = 1.0 if (J > 2.0/3.0 * self.flow_stress2): scale = self.factor/sqrt(J) # store the stresses d_s00[d_idx] = scale * s00a d_s01[d_idx] = scale * s01a d_s02[d_idx] = scale * s02a d_s11[d_idx] = scale * s11a d_s12[d_idx] = scale * s12a d_s22[d_idx] = scale * s22a
[docs]class StiffenedGasEOS(Equation): """Stiffened-gas EOS from "A Free Lagrange Augmented Godunov Method for the Simulation of Elastic-Plastic Solids", B. P. Howell and G. J. Ball, JCP (2002). http://dx.doi.org/10.1006/jcph.2001.6931 """ def __init__(self, dest, sources, gamma, r0, c0): self.gamma = float(gamma) # Gruneisen gamma self.c0 = float(c0) # unshocked sound speed self.r0 = float(r0) # reference density super(StiffenedGasEOS,self).__init__(dest, sources)
[docs] def loop(self, d_idx, d_e, d_rho, d_p, d_cs): # Eq. (17) d_p[d_idx] = self.c0*self.c0 * (d_rho[d_idx] - self.r0) + \ (self.gamma - 1.0)*d_rho[d_idx]*d_e[d_idx] # Eq. (21) d_cs[d_idx] = sqrt( self.c0*self.c0 + (self.gamma - 1.0) * (d_e[d_idx] + d_p[d_idx]/d_rho[d_idx]) )
[docs]class MieGruneisenEOS(Equation): def __init__(self, dest, sources, gamma,r0, c0, S): self.gamma = float(gamma) self.r0 = float(r0) self.c0 = float(c0) self.S = float(S) self.a0 = a0 = float(r0 * c0 * c0) self.b0 = a0 * ( 1 + 2.0*(S - 1.0) ) self.c0 = a0 * ( 2*(S - 1.0) + 3*(S - 1.0)*(S - 1.0) ) super(MieGruneisenEOS, self).__init__(dest, sources)
[docs] def loop(self, d_idx, d_p, d_rho, d_e): rhoa = d_rho[d_idx] ea = d_e[d_idx] gamma = self.gamma ratio = rhoa/self.r0 - 1.0 ratio2 = ratio * ratio PH = self.a0 * ratio if ratio > 0: PH = PH + ratio2 * (self.b0 + self.c0*ratio) d_p[d_idx] = (1. - 0.5*gamma*ratio) * PH + rhoa * ea * gamma