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######################################################## |
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# |
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# Copyright (c) 2009 by University of Queensland |
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# Earth Systems Science Computational Center (ESSCC) |
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# http://www.uq.edu.au/esscc |
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# |
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# Primary Business: Queensland, Australia |
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# Licensed under the Open Software License version 3.0 |
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# http://www.opensource.org/licenses/osl-3.0.php |
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# |
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######################################################## |
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__copyright__="""Copyright (c) 2009 by University of Queensland |
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Earth Systems Science Computational Center (ESSCC) |
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http://www.uq.edu.au/esscc |
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Primary Business: Queensland, Australia""" |
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__license__="""Licensed under the Open Software License version 3.0 |
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http://www.opensource.org/licenses/osl-3.0.php""" |
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__url__="https://launchpad.net/escript-finley" |
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|
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""" |
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Author: Antony Hallam antony.hallam@uqconnect.edu.au |
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""" |
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|
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############################################################FILE HEADER |
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# twodheatdiff002.py |
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# Model temperature diffusion between a granite intrusion and sandstone |
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# country rock. This is a two dimensional problem with the granite as a |
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# heat source. |
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|
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#######################################################EXTERNAL MODULES |
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#To solve the problem it is necessary to import the modules we require. |
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#This imports everything from the escript library |
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from esys.escript import * |
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# This defines the LinearPDE module as LinearPDE |
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from esys.escript.linearPDEs import LinearPDE |
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# This imports the rectangle domain function from finley. |
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from esys.finley import Rectangle |
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# A useful unit handling package which will make sure all our units |
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# match up in the equations under SI. |
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from esys.escript.unitsSI import * |
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#For interactive use, you can comment out the next two lines |
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import matplotlib |
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matplotlib.use('agg') #It's just here for automated testing |
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import pylab as pl #Plotting package. |
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import numpy as np #Array package. |
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import os #This package is necessary to handle saving our data. |
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from cblib2 import toXYTuple |
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from cblib1 import needdirs |
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|
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########################################################MPI WORLD CHECK |
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if getMPISizeWorld() > 1: |
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import sys |
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print "This example will not run in an MPI world." |
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sys.exit(0) |
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|
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#################################################ESTABLISHING VARIABLES |
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#PDE related |
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mx = 600*m #meters - model length |
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my = 600*m #meters - model width |
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ndx = 100 #mesh steps in x direction |
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ndy = 100 #mesh steps in y direction |
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r = 200*m #meters - radius of intrusion |
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ic = [300, 0] #centre of intrusion (meters) |
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q=0.*Celsius #our heat source temperature is now zero |
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|
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## Intrusion Variables - Granite |
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Ti=2273.*Celsius # Kelvin -the starting temperature of our RHS Block |
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rhoi = 2750*kg/m**3 #kg/m^{3} density of granite |
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cpi = 790.*J/(kg*K) #j/Kg.K thermal capacity |
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rhocpi = rhoi*cpi #DENSITY * SPECIFIC HEAT |
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eta=0. # RADIATION CONDITION |
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kappai=2.2*W/m/K #watts/m.K thermal conductivity |
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## Country Rock Variables - Sandstone |
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Tc = 473*Celsius # Kelvin #the starting temperature of our country rock |
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rhoc = 2000*kg/m**3 #kg/m^{3} density |
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cpc = 920.*J/(kg*K) #j/kg.k specific heat |
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rhocpc = rhoc*cpc #DENSITY * SPECIFIC HEAT |
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kappac = 1.9*W/m/K #watts/m.K thermal conductivity |
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|
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#Script/Iteration Related |
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t=0. #our start time, usually zero |
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tday=100*365. #the time we want to end the simulation in days |
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tend=tday*24*60*60 |
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outputs = 200 # number of time steps required. |
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h=(tend-t)/outputs #size of time step |
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#user warning |
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print "Expected Number of Output Files is: ", outputs |
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print "Step size is: ", h/(24.*60*60), "days" |
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i=0 #loop counter |
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#the folder to put our outputs in, leave blank "" for script path |
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save_path= os.path.join("data","twodheatdiff") |
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needdirs([save_path]) |
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########## note this folder path must exist to work ################### |
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|
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################################################ESTABLISHING PARAMETERS |
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#generate domain using rectangle |
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model = Rectangle(l0=mx,l1=my,n0=ndx, n1=ndy) |
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#extract finite points - the solution points |
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x=model.getX() |
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#create the PDE |
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mypde=LinearPDE(model) #assigns a domain to our PDE |
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mypde.setSymmetryOn() #set the fast solver on for symmetry |
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#establish location of boundary between two materials |
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bound = length(x-ic)-r #where the boundary will be located |
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A = (kappai)*whereNegative(bound)+(kappac)*wherePositive(bound) |
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D = (rhocpi/h)*whereNegative(bound)+(rhocpc/h)*wherePositive(bound) |
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#define our PDE coeffs |
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mypde.setValue(A=A*kronecker(model),D=D,d=eta,y=eta*Tc) |
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#set initial temperature |
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T= Ti*whereNegative(bound)+Tc*wherePositive(bound) |
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|
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# rearrage mymesh to suit solution function space for contouring |
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oldspacecoords=model.getX() |
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coords=Data(oldspacecoords, T.getFunctionSpace()) |
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#coords = np.array(coords.toListOfTuples()) |
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coordX, coordY = toXYTuple(coords) |
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# create regular grid |
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xi = np.linspace(0.0,mx,100) |
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yi = np.linspace(0.0,my,100) |
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|
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########################################################START ITERATION |
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while t<=tend: |
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i+=1 #counter |
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t+=h #curretn time |
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Y = T*D # |
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mypde.setValue(Y=Y) |
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T=mypde.getSolution() |
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tempT = T.toListOfTuples(scalarastuple=False) |
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# grid the data. |
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zi = pl.matplotlib.mlab.griddata(coordX,coordY,tempT,xi,yi) |
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# contour the gridded data, plotting dots at the |
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# randomly spaced data points. |
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pl.matplotlib.pyplot.autumn() |
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pl.contourf(xi,yi,zi,10) |
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CS = pl.contour(xi,yi,zi,5,linewidths=0.5,colors='k') |
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pl.clabel(CS, inline=1, fontsize=8) |
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pl.axis([0,600,0,600]) |
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pl.title("Heat diffusion from an intrusion.") |
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pl.xlabel("Horizontal Displacement (m)") |
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pl.ylabel("Depth (m)") |
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if getMPIRankWorld() == 0: |
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pl.savefig(os.path.join(save_path,\ |
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"heatrefraction%03d.png"%i)) |
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pl.clf() |
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|
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# compile the *.png files to create an *.avi video that shows T change |
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# with time. This opperation uses linux mencoder. |
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os.system("mencoder mf://"+save_path+"/*.png -mf type=png:\ |
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w=800:h=600:fps=25 -ovc lavc -lavcopts vcodec=mpeg4 -oac copy -o \ |
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twodheatdiff001tempT.avi") |
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