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	timproved result analysis script - sphere - GPU-based 3D discrete element metho…
	git clone git://src.adamsgaard.dk/sphere
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	---
	commit 0bddc01962a2c7484665b22c57e537b6f2648513
	parent 20e9d14ac850a06a0781cb700d8bdd65381fd1c0
	Author: Anders Damsgaard <[email protected]>
	Date: Wed, 13 Aug 2014 11:32:55 +0200

	improved result analysis script

	Diffstat:
	M python/permeability-results.py \| 38 ++++++++++++++++++++++-------…
	M python/permeabilitycalculator.py \| 6 ++++++

	2 files changed, 33 insertions(+), 11 deletions(-)
	---
	diff --git a/python/permeability-results.py b/python/permeability-results.py
	t@@ -1,15 +1,31 @@
	#!/usr/bin/env python
	+import numpy
	+import matplotlib.pyplot as plt
	from permeabilitycalculator import *
	-
	-pc = PermeabilityCalc('permeability-dp=1000.0')
	-pc = PermeabilityCalc('permeability-dp=1000.0-c_phi=1.0-c_grad_p=0.01')
	-pc = PermeabilityCalc('permeability-dp=1000.0-c_phi=1.0-c_grad_p=0.5')

	-pc = PermeabilityCalc('permeability-dp=20000.0-c_phi=1.0-c_grad_p=0.01')
	-pc = PermeabilityCalc('permeability-dp=20000.0-c_phi=1.0-c_grad_p=0.1')
	-pc = PermeabilityCalc('permeability-dp=20000.0-c_phi=1.0-c_grad_p=0.5')
	+sids = [
	+ 'permeability-dp=1000.0',
	+ 'permeability-dp=1000.0-c_phi=1.0-c_grad_p=0.01',
	+ 'permeability-dp=1000.0-c_phi=1.0-c_grad_p=0.5',
	+ 'permeability-dp=20000.0-c_phi=1.0-c_grad_p=0.01',
	+ 'permeability-dp=20000.0-c_phi=1.0-c_grad_p=0.1',
	+ 'permeability-dp=20000.0-c_phi=1.0-c_grad_p=0.5',
	+ 'permeability-dp=4000.0-c_phi=1.0-c_grad_p=0.01',
	+ 'permeability-dp=4000.0-c_phi=1.0-c_grad_p=0.1',
	+ 'permeability-dp=4000.0-c_phi=1.0-c_grad_p=0.5',
	+ 'permeability-dp=4000.0']
	+
	+K = numpy.array([])
	+c_grad_p = numpy.array([])

	-pc = PermeabilityCalc('permeability-dp=4000.0')
	-pc = PermeabilityCalc('permeability-dp=4000.0-c_phi=1.0-c_grad_p=0.01')
	-pc = PermeabilityCalc('permeability-dp=4000.0-c_phi=1.0-c_grad_p=0.1')
	-pc = PermeabilityCalc('permeability-dp=4000.0-c_phi=1.0-c_grad_p=0.5')
	+for sid in sids:
	+ pc = PermeabilityCalc(sid)
	+ K.append(pc.conductivity())
	+ c_grad_p.append(pc.c_grad_p())
	+
	+fig = plt.figure()
	+plt.xlabel('Pressure gradient coefficient $c$ [-]')
	+plt.ylabel('Hydraulic conductivity $K$ [m/s]')
	+plt.plot(c_grad_p, K)
	+plt.grid()
	+plt.savefig('c_grad_p-vs-K.png')
	diff --git a/python/permeabilitycalculator.py b/python/permeabilitycalculator.py
	t@@ -36,6 +36,12 @@ class PermeabilityCalc:
	#self.K = self.k/self.sim.mu # m/s
	self.K = -self.Q * self.dL / (self.A * self.dP)

	+ def conductivity(self):
	+ return self.K[0]
	+
	+ def c_grad_p(self):
	+ return self.sim.c_grad_p[0]
	+
	def findMeanPorosity(self):
	''' calculate mean porosity in cells beneath the top wall '''