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######################################################## |
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# |
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# Copyright (c) 2003-2009 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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|
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__copyright__="""Copyright (c) 2003-2009 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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# onedheatdiff002.py |
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# Model temperature diffusion between two granite blocks. This is a one |
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# dimensional problem with no heat source and a single heat disparity. |
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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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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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|
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#################################################ESTABLISHING VARIABLES |
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#PDE related |
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mx = 500*m #meters - model length |
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my = 100*m #meters - model width |
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ndx = 500 # mesh steps in x direction |
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ndy = 1 # mesh steps in y direction |
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boundloc = mx/2 # location of boundary between two blocks |
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q=0.*Celsius #our heat source temperature is now zero |
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Tref=2273.*Celsius # Kelvin -the starting temperature of our RHS Block |
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rho = 2750*kg/m**3 #kg/m^{3} density of granite |
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cp = 790.*J/(kg*K) #j/Kg.K thermal capacity |
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rhocp = rho*cp #DENSITY * SPECIFIC HEAT |
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eta=0. # RADIATION CONDITION |
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kappa=2.2*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=10*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 = 400 # number of time steps required. |
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h=(tend-t)/outputs #size of time step |
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#user warning statement |
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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="data/onedheatdiff002" |
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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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#define our PDE coeffs |
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mypde.setValue(A=kappa*kronecker(model),D=rhocp/h,d=eta,y=eta*Tref) |
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#establish location of boundary between two blocks |
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bound = x[0]-boundloc |
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#set initial temperature |
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T= 0*Tref*whereNegative(bound)+Tref*wherePositive(bound) |
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|
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#convert solution points for plotting |
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plx = x.toListOfTuples() |
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plx = np.array(plx) #convert to tuple to numpy array |
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plx = plx[:,0] #extract x locations |
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|
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########################################################START ITERATION |
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while t<=tend: |
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i+=1 #increment the counter |
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t+=h #increment the current time |
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mypde.setValue(Y=rhocp/h*T) #reset variable PDE coefficients |
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T=mypde.getSolution() #find temperature solution |
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#set up for plotting |
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tempT = T.toListOfTuples(scalarastuple=False) |
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pl.figure(1) |
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pl.plot(plx,tempT) |
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pl.axis([0,500,0,2500]) |
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pl.title("Temperature accross Interface") |
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pl.savefig(os.path.join(save_path,"intpyplot%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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onedheatdiff002tempT.avi") |
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