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tnormalize the thickness change - sphere - GPU-based 3D discrete element method…
git clone git://src.adamsgaard.dk/sphere
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---
commit 89fc26ac72d9da35930497454992f7a34a1c842a
parent 96eeffa6fcc7b60bcc548030d18412780338bfe5
Author: Anders Damsgaard <[email protected]>
Date: Wed, 27 Aug 2014 10:04:22 +0200
normalize the thickness change
Diffstat:
M python/consolidation-curve.py | 11 +++++++++--
1 file changed, 9 insertions(+), 2 deletions(-)
---
diff --git a/python/consolidation-curve.py b/python/consolidation-curve.py
t@@ -67,12 +67,19 @@ for c_grad_p in c_grad_p_list:
c += 1
+# Normalize the thickness change
+min_H = 0.0
+for c in range(len(c_grad_p_list)):
+ min_H_c = numpy.min(H[c])
+ if min_H_c < min_H:
+ min_H = min_H_c
plt.xlabel('Time [s]')
-plt.ylabel('Thickness change [m]')
+plt.ylabel('Normalized thickness change [-]')
#plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
for c in range(len(c_grad_p_list)):
- plt.semilogx(t[c], H[c], 'o-', label='$c$ = %.2f' % (c_grad_p_list[c]))
+ H[c] /= -min_H_c
+ plt.semilogx(t[c], H[c], '.-', label='$c$ = %.2f' % (c_grad_p_list[c]))
plt.grid()
plt.legend(loc=0)
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