tAdded effective and prescribed stress values to shear visualization - sphere - GPU-based 3D discrete element method algorithm with optional fluid coupling
(HTM) git clone git://src.adamsgaard.dk/sphere
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---
(DIR) commit 8bf2eda369d9fd13867a232cfdc0abf28f92bb08
(DIR) parent 001cde2d241d1bb9b297d0dbbcdda2013093409b
(HTM) Author: Anders Damsgaard <adc@geo.au.dk>
Date: Thu, 29 Nov 2012 10:31:19 +0100
Added effective and prescribed stress values to shear visualization
Diffstat:
M python/sphere.py | 18 ++++++++++--------
1 file changed, 10 insertions(+), 8 deletions(-)
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(DIR) diff --git a/python/sphere.py b/python/sphere.py
t@@ -1217,10 +1217,11 @@ def visualize(project, method = 'energy', savefig = True, outformat = 'png'):
# First iteration: Allocate arrays and find constant values
if (i == 0):
- xdisp = numpy.zeros(lastfile+1, dtype=numpy.float64) # Shear displacement
- sigma = numpy.zeros(lastfile+1, dtype=numpy.float64) # Normal stress
- tau = numpy.zeros(lastfile+1, dtype=numpy.float64) # Shear stress
- dilation = numpy.zeros(lastfile+1, dtype=numpy.float64) # Upper wall position
+ xdisp = numpy.zeros(lastfile+1, dtype=numpy.float64) # Shear displacement
+ sigma_eff = numpy.zeros(lastfile+1, dtype=numpy.float64) # Normal stress
+ sigma_def = numpy.zeros(lastfile+1, dtype=numpy.float64) # Normal stress
+ tau = numpy.zeros(lastfile+1, dtype=numpy.float64) # Shear stress
+ dilation = numpy.zeros(lastfile+1, dtype=numpy.float64) # Upper wall position
fixvel = numpy.nonzero(sb.fixvel > 0.0)
#fixvel_upper = numpy.nonzero(sb.vel[fixvel,0] > 0.0)
t@@ -1234,8 +1235,8 @@ def visualize(project, method = 'energy', savefig = True, outformat = 'png'):
tau[i] += -sb.force[j,0]
xdisp[i] = sb.time_current[0] * shearvel
- sigma[i] = sb.w_force[0] / A
- sigma[i] = sb.w_devs[0]
+ sigma_eff[i] = sb.w_force[0] / A
+ sigma_def[i] = sb.w_devs[0]
#tau[i] = sb.force[fixvel_upper,0].sum() / A
dilation[i] = sb.w_x[0] - w_x0
t@@ -1244,9 +1245,10 @@ def visualize(project, method = 'energy', savefig = True, outformat = 'png'):
ax1 = plt.subplot2grid((2,1),(0,0))
ax1.set_xlabel('Shear distance [m]')
ax1.set_ylabel('Stress [Pa]')
- ax1.plot(xdisp, sigma, '+-g')
+ ax1.plot(xdisp, sigma_eff, '+-g', label="$\sigma'")
+ ax1.plot(xdisp, sigma_def, '+-b', label="$\sigma_0")
ax1.plot(xdisp, tau, '+-r')
- #plt.legend('$\sigma`$','$\tau$')
+ ax1.legend()
# Plot dilation
ax2 = plt.subplot2grid((2,1),(1,0))