Be yourself; Everyone else is already taken.
— Oscar Wilde.
This is the first post on my new blog. I’m just getting this new blog going, so stay tuned for more. Subscribe below to get notified when I post new updates.
Testing
###start of the script
import sys
import numpy
def pwr(x,y):
return x**y
###end of the script
Piping
import sys
from PSISymbols import *
from math import pi
from copy import deepcopy
class Pipe:
if 'Coatings' in sys.modules:
del sys.modules['Coatings']
def __init__(self, density = None, EMod = None, nu = None, hardLaw = None, OD = None, WT = None, interPress = None, outerPress = None, T0 = None, T1 = None, expLambda = None, pipeThickness = None, pipeContentUD = None, innerPipeRef = None, isInnerPipe = False, pipeTag = '',matName=''):
from Coatings import Coatings
self.__density = density
self.__EMod= EMod
self.__nu = nu
if type(hardLaw) is str:
self.getSteelHL(hardLaw)
else:
self.__hardLaw = hardLaw
self.__OD = OD
self.__WT = WT
self.__interPress = interPress if interPress else 0.
self.__outerPress = outerPress if outerPress else 0.
self.__T0 = T0 if T0 else 0.
self.__T1 = T1 if T1 else 0.
self.__expLambda = expLambda if T1 else 0.
self.__pipeContentUD = pipeContentUD if pipeContentUD else 0.
self.__pipeThickness = pipeThickness if pipeThickness else THIN
self.__coatings = Coatings(OD)
self.__innerPipeRef = innerPipeRef
if not innerPipeRef == None:
innerPipeRef.setIsInnerPipe(isInnerPipe = True)
innerPipeRef.setPipeTag(pipeTag)
self.__isInnerPipe = isInnerPipe
self.__pipeTag = pipeTag
self.__data = [0 for ii in range(10)]
self.__matName = matName
self.__G = 9.807
def duplicate(self, newTag = None):
newPipe = deepcopy(self)
if newTag:
newPipe.__pipeTag = newTag
return newPipe
def __eq__(self, other):
if self is other:
return True
else:
if self.__class__ == other.__class__:
for field in self.__dict__:
if not getattr(self, field) == getattr(other, field):
return False
return True
else:
raise TypeError('Comparing object is not of the same type.')
def setPipeData(self, ind, value):
self.__data[ind] = value
def getPipeData(self, ind):
return self.__data[ind]
def setMatName(self,matName):
self.__matName = matName
def getMatName(self):
return self.__matName
def setWT(self,WT):
self.__WT = WT
def getDensity(self):
return self.__density
def getEMod(self):
return self.__EMod
def getNu(self):
return self.__nu
def getHardLaw(self):
return self.__hardLaw
def getOD(self):
return self.__OD
def getWT(self):
return self.__WT
def getInterPress(self):
return self.__interPress
def getOuterPress(self):
return self.__outerPress
def getT0(self):
return self.__T0
def getT1(self):
return self.__T1
def getExpLambda(self):
return self.__expLambda
def getPipeContentUD(self):
return self.__pipeContentUD
def getPipeThickness(self):
return self.__pipeThickness
def getCoatings(self):
return self.__coatings
def getInnerPipeRef(self):
return self.__innerPipeRef
def setInnerPipe(self, innerPipeRef):
self.__innerPipeRef = innerPipeRef
def isInnerPipe(self):
return self.__isInnerPipe
def setIsInnerPipe(self,isInnerPipe):
self.__isInnerPipe = isInnerPipe
def getPipeTag(self):
return self.__pipeTag
def setPipeTag(self, pipeTag):
self.__pipeTag = pipeTag
def getSectionArea(self):
return 0.25*pi*(self.getOD()**2.-(self.getOD()-2.*self.getWT())**2.)
def getInternalSA(self):
return 0.25*pi*(self.getOD()-2.*self.getWT())**2
def addCoating(self, T, density):
self.__coatings.addCoating(T,density)
return self
def __getPipeWeight(self):
from math import pi
Ai = pi/4.*(self.__OD-2.*self.__WT)**2.
As = pi/4.*self.__OD**2.- Ai
pipeWeight = self.__G * self.__density * As + self.__coatings.getCoatingWeight()
return pipeWeight
def getGravityLoad(self,contUD=None):
from math import pi
if not contUD:
contUD = self.__pipeContentUD
Ai = pi/4.*(self.__OD-2.*self.__WT)**2.
if self.__innerPipeRef == None:
AiEff = Ai
else:
AiEff = Ai - pi/4.*(self.__innerPipeRef.getEffectiveOD())**2.
pipeWeight = self.__getPipeWeight() + self.__G * contUD * AiEff
return pipeWeight
def getEffectiveOD(self):
return self.__OD + 2.0*self.__coatings.getTotalThickness()
def getLVolume(self):
from math import pi
return pi/4.*self.getEffectiveOD()**2.
def logStr(self,indLev = 0):
preInd = indLev*'\t'
if not self.__isInnerPipe:
strM = 'Pipe Tag: '+self.getPipeTag()+'\n\t\t'
else:
strM = '\n\t\t'
strM = strM + preInd + 'PiP: '+ ('Inner Pipe' if self.__isInnerPipe == True else 'No') +'\n\t\t'
strM = strM + preInd + 'Pipe Density: '+str(self.__density)+'\n\t\t'
if not self.__hardLaw == []:
if len(self.__hardLaw[0]) == 3:
strM = strM + preInd + 'Ramberg-Osgood Model:\n\t\t'
strM = strM + preInd + '\tElastic modulus: '+str(self.__EMod)+'\n\t\t'
strM = strM + preInd + '\tPoisson\'s ratio: '+str(self.__nu)+'\n\t\t'
strM = strM + preInd + '\tYield stress: '+str(self.__hardLaw[0][0])+'\n\t\t'
strM = strM + preInd + '\tExponent: '+str(self.__hardLaw[0][1])+'\n\t\t'
strM = strM + preInd + '\tYield offset: '+str(self.__hardLaw[0][2])+'\n\t\t'
else:
strM = strM + preInd + 'Plastic model:\n\t\t'
strM = strM + preInd + '\tElastic modulus: '+str(self.__EMod)+'\n\t\t'
strM = strM + preInd + '\tPoisson\'s ratio: '+str(self.__nu)+'\n\t\t'
strM = strM + preInd + '\tYield stress: '+str(self.__hardLaw[0][0])+'\n\t\t'
else:
strM = strM + preInd + 'Elastic Model:\n\t\t'
strM = strM + preInd + '\tElastic modulus: '+str(self.__EMod)+'\n\t\t'
strM = strM + preInd + '\tPoisson\'s ratio: '+str(self.__nu)+'\n\t\t'
strM = strM + preInd + 'Outer diameter: '+str(self.__OD)+'\n\t\t'
strM = strM + preInd + 'Wall thickness: '+str(self.__WT)+'\n\t\t'
strM = strM + preInd + 'Internal pressure: '+str(self.__interPress)+'\n\t\t'
strM = strM + preInd + 'External pressure: '+str(self.__outerPress)+'\n\t\t'
strM = strM + preInd + 'Initial temperature: '+str(self.__T0)+'\n\t\t'
strM = strM + preInd + 'Final temperature: '+str(self.__T1)+'\n\t\t'
strM = strM + preInd + 'Thermal expansion: '+str(self.__expLambda)+'\n\t\t'
strM = strM + preInd + 'Pipe type: '+['Thin','Thick'][self.__pipeThickness-1]+'\n'
strM = strM + self.__coatings.logStr(indLev)
if self.__innerPipeRef:
strM = strM + preInd + '\t\t>>>\n'
strM = strM + preInd + '\t\tInner Pipe, ' + self.__innerPipeRef.logStr(indLev + 1)
else:
strM = strM + preInd + '\t\tNo inner pipe!\n\n'
return strM
def getSteelHL(self,HL):
if HL == 'X70':
self.__hardLaw = [
(428980000.000000000,0.000000000)
,(433800000.000000000,0.000062751)
,(438620000.000000000,0.000138793)
,(443440000.000000000,0.000232378)
,(448260000.000000000,0.000349048)
,(453080000.000000000,0.000496005)
,(457900000.000000000,0.000682583)
,(462720000.000000000,0.000920847)
,(467540000.000000000,0.001226346)
,(472360000.000000000,0.001619071)
,(477180000.000000000,0.002124657)
,(482000000.000000000,0.002775886)
,(484766667.000000000,0.003231256)
,(487533333.000000000,0.003757705)
,(490300000.000000000,0.004366160)
,(493066667.000000000,0.005069152)
,(495833333.000000000,0.005881036)
,(498600000.000000000,0.006818253)
,(501366667.000000000,0.007899609)
,(504133333.000000000,0.009146605)
,(506900000.000000000,0.010583805)
,(509666667.000000000,0.012239250)
,(512433333.000000000,0.014144925)
,(515200000.000000000,0.016337294)
,(517966667.000000000,0.018857893)
,(520733333.000000000,0.021754003)
,(523500000.000000000,0.025079408)
,(526266667.000000000,0.028895247)
,(529033333.000000000,0.033270975)
,(531800000.000000000,0.038285437)
,(534566667.000000000,0.044028084)
,(537333333.000000000,0.050600327)
,(540100000.000000000,0.058117066)
,(542866667.000000000,0.066708396)
,(545633333.000000000,0.076521530)
,(548400000.000000000,0.087722939)
,(551166667.000000000,0.100500757)
,(553933333.000000000,0.115067472)
,(556700000.000000000,0.131662925)
,(559466667.000000000,0.150557676)
,(562233333.000000000,0.172056747)
,(565000000.000000000,0.196503816)]
elif HL == 'X70M':
self.__hardLaw = [
(430818485.71428573, 0.0),
(435659142.85714287, 6.2751e-05),
(440499800.0, 0.000138793),
(445340457.14285713, 0.000232378),
(450181114.28571427, 0.000349048),
(455021771.4285714, 0.000496005),
(459862428.5714286, 0.000682583),
(464703085.71428573, 0.000920847),
(469543742.85714287, 0.001226346),
(474384400.0, 0.001619071),
(479225057.14285713, 0.002124657),
(484065714.28571427, 0.002775886),
(486844238.43, 0.003231256),
(489622761.57, 0.003757705),
(492401285.71428573, 0.00436616),
(495179809.8585714, 0.005069152),
(497958332.99857146, 0.005881036),
(500736857.14285713, 0.006818253),
(503515381.2871429, 0.007899609),
(506293904.42714286, 0.009146605),
(509072428.5714286, 0.010583805),
(511850952.7157143, 0.01223925),
(514629475.85571426, 0.014144925),
(517408000.0, 0.016337294),
(520186524.14428574, 0.018857893),
(522965047.2842857, 0.021754003),
(525743571.4285714, 0.025079408),
(528522095.57285714, 0.028895247),
(531300618.7128571, 0.033270975),
(534079142.85714287, 0.038285437),
(536857667.00142854, 0.044028084),
(539636190.1414286, 0.050600327),
(542414714.2857143, 0.058117066),
(545193238.43, 0.066708396),
(547971761.57, 0.07652153),
(550750285.7142857, 0.087722939),
(553528809.8585714, 0.100500757),
(556307332.9985714, 0.115067472),
(559085857.1428572, 0.131662925),
(561864381.2871429, 0.150557676),
(564642904.4271429, 0.172056747),
(567421428.5714285, 0.196503816)]
elif HL == 'X80':
self.__hardLaw = [(370915296.1,0)
,(375135446.1,0.0000377496)
,(379341848.5,0.0000725588)
,(383536970.8,0.000114918)
,(387709885.5,0.000151872)
,(391876807.8,0.000195662)
,(396002134.8,0.000236034)
,(400156366.9,0.000274896)
,(404364179.3,0.000320196)
,(408461306.2,0.000360489)
,(412538692.9,0.000403802)
,(416613612.2,0.000446796)
,(420720256.6,0.000492176)
,(424757105.7,0.000537554)
,(428728389.5,0.000582456)
,(432717650.8,0.000626484)
,(436730529.8,0.000672499)
,(440637305.8,0.000722726)
,(444633264.7,0.000770251)
,(448551320.7,0.000823418)
,(452401696.4,0.000873407)
,(456291552.3,0.000920772)
,(460163078.1,0.000971714)
,(463956348.5,0.001022418)
,(467738338.9,0.001078447)
,(471550996.9,0.001128197)
,(475281169.6,0.001187563)
,(479051879.9,0.001242638)
,(482704854.7,0.001297315)
,(486380389.6,0.001353502)
,(489974496.5,0.001413822)
,(493546395.9,0.001472394)
,(497074937.6,0.001532793)
,(500617226.9,0.001589219)
,(504085490.8,0.00165232)
,(507512864.5,0.001718362)
,(510969848.3,0.001777967)
,(514380654.4,0.001843133)
,(517610627.2,0.001913945)
,(520945645.5,0.001977525)
,(524142130.6,0.002044917)
,(527424273.6,0.002115645)
,(530530870.8,0.002190033)
,(533635000.5,0.002256153)
,(536719390,0.002331097)
,(539789679.6,0.002403021)
,(542724255.9,0.002478757)
,(545653192.3,0.002555213)
,(548560978.5,0.002633573)
,(551351029.2,0.002712169)
,(554149892.5,0.002795537)
,(556921613.1,0.002877873)
,(559670068.6,0.002960521)
,(562278228.4,0.003045241)
,(564902955.8,0.003131073)
,(567457887.9,0.003220877)
,(569900724.4,0.003311157)
,(572410888.8,0.003401281)
,(574835395.3,0.003494025)
,(577180236.3,0.003589869)
,(579484539.7,0.003684281)
,(581741255.4,0.003776629)
,(583899623.1,0.003876369)
,(586031553.2,0.003979761)
,(588236098.6,0.004077989)
,(590242185.6,0.004178761)
,(592279997.7,0.004284541)
,(594190556.8,0.004392385)
,(596168443.6,0.004500469)
,(598024364.9,0.004608153)
,(599864776.1,0.004718621)
,(601649492,0.004828293)
,(603335860,0.004940349)
,(605033508,0.005053837)
,(606707538.4,0.005167245)
,(608308601,0.005287489)
,(609943151.2,0.005401293)
,(611402508.1,0.005516689)
,(612932365.4,0.005640029)
,(614410052.4,0.005762021)
,(615865179.2,0.005880277)
,(617267430.9,0.006003457)
,(618549126.9,0.006129265)
,(619935868.5,0.006255389)
,(621239772.2,0.006380321)
,(622545438.3,0.006504773)
,(623730196.4,0.006635985)
,(624939277.1,0.006763617)
,(626058469.9,0.006892601)
,(627300685.8,0.007025797)
,(628387800.9,0.007155737)
,(629498533.7,0.007284801)
,(630548988.7,0.007416805)
,(631600853.6,0.007551509)
,(632602310.9,0.007684785)
,(633675325.9,0.007818697)
,(634598527.8,0.007954201)
,(635611265.1,0.008091133)
,(636524596.9,0.008227825)
,(637443216.3,0.008366981)
,(638425285.9,0.008503993)
,(639215242.1,0.008642117)
,(640083806.2,0.008779289)
,(640954837.9,0.008919797)
,(641806481.9,0.009060225)
,(642684916,0.009199857)
,(643511179.9,0.009341797)
,(644281748.6,0.009486677)
,(645081574.9,0.009629169)
,(645812663.3,0.009771905)
,(646611079.6,0.009916225)
,(647342168.1,0.010061981)
,(648087356.6,0.010203281)
,(648845235.2,0.010352133)
,(649566453.6,0.010496377)
,(650254184.3,0.010644357)
,(650937685.1,0.010792017)
,(651632465.8,0.010936577)
,(652332886.7,0.011088769)
,(652995589.8,0.011235793)
,(653650890.4,0.011380037)
,(654296673.4,0.011526741)
,(654941046.5,0.011681317)
,(655542061.8,0.011828661)
,(656189254.9,0.011975369)
,(656799787.8,0.012127401)
,(657414550.7,0.012278717)
,(658016976,0.012428441)
,(658601071.3,0.012576737)
,(659138988.8,0.012727417)
,(659800282,0.012878813)
,(660317049.4,0.013028541)
,(660902554.7,0.013183357)
,(661485239.9,0.013334909)
,(662000597.4,0.013487021)
,(662576232.6,0.013639609)
,(663083482.5,0.013788461)
,(663670397.8,0.013944229)
,(664160727.6,0.014092049)
,(664703932.6,0.014244161)
,(665201312.5,0.014395873)
,(665694462.3,0.014548221)
,(666183382.1,0.014699377)
,(666733637.2,0.014852445)
,(667187659.4,0.015005509)
,(667726634.4,0.015157065)
,(668186296.6,0.015308301)
,(668642786.3,0.015466293)
,(669152856.2,0.015615701)
,(669666803.6,0.015766381)
,(670067245.5,0.015924613)
,(670531137.7,0.016077281)
,(671008777.5,0.016228197)
,(671492057.2,0.016380945)
,(671948546.9,0.016539097)
,(672398339,0.016692321)
,(672902416.4,0.016846497)
,(673312728.3,0.017003457)
,(673745600.4,0.017154933)
,(674189752.5,0.017312525)
,(674594424.4,0.017462253)
,(675000858.8,0.017619769)
,(675467218.5,0.017778873)
,(675871890.4,0.017931541)
,(676366450.3,0.018089693)
,(676734814.5,0.018247365)
,(677169096.6,0.018398841)
,(677555790.9,0.018556517)
,(677992540.5,0.018714905)
,(678344337.1,0.018874961)
,(678779676.7,0.019031921)
,(679183291.1,0.019188641)
,(679560115.4,0.019348781)
,(679936939.7,0.019507569)
,(680337381.6,0.019668181)
,(680702925.8,0.019827921)
,(681112180.2,0.019992669)
,(681483364.5,0.020154873)
,(681869706.3,0.020321053)
,(682264860.7,0.020483969)
,(682662482.6,0.020649513)
,(682973741.5,0.020814657)
,(683316725.6,0.020977973)
,(683724570.1,0.021145581)
,(684036886.6,0.021310489)
,(684428868.4,0.021486917)
,(684797232.6,0.021659613)
,(685061961.4,0.021829685)
,(685499063.5,0.022005481)
,(685858967.7,0.022176821)
,(686150486.5,0.022351425)
,(686545288.4,0.022518953)
,(686852317.4,0.022689661)
,(687178733.9,0.022863069)
,(687479770.3,0.023031949)
,(687843904.5,0.023206157)
,(688209448.8,0.023373125)
,(688589093.1,0.023547649)
,(688885899.5,0.023721457)
,(689205266,0.023901225)
,(689508064.9,0.024085441)
,(689817561.4,0.024274509)
,(690157725.5,0.024457933)
,(690464754.4,0.024648505)
,(690736180.7,0.024835349)
,(691136975.1,0.025019805)
,(691412983.9,0.025204817)
,(691702740.3,0.025383709)
,(692046076.9,0.025563797)
,(692298115.6,0.025736013)
,(692647092.3,0.025913557)
,(692950948.7,0.026087445)
,(693298162.8,0.026263077)
,(693542094,0.026431877)
,(693818102.8,0.026600441)
,(694109269.2,0.026767333)
,(694444145.8,0.026935737)
,(694669394.3,0.027100085)
,(694972193.3,0.027267693)
,(695287329.7,0.027428073)
,(695566158.6,0.027592657)
,(695788587.1,0.027758361)
,(696146023.8,0.027920961)
,(696368452.4,0.028084517)
,(696703328.9,0.028248549)
,(696891212.3,0.028411073)
,(697189428.7,0.028572561)
,(697434769.9,0.028733889)
,(697756603.9,0.028897761)
,(697983615,0.029057581)
,(698238473.7,0.029220105)
,(698577580.3,0.029385169)
,(698786261.3,0.029539665)
,(699055220.1,0.029706401)
,(699317128.8,0.029870669)
,(699573397.5,0.030028581)
,(699776438.5,0.030189437)
,(700111315,0.030350765)
,(700335506.1,0.030512017)
,(700590364.8,0.030673425)
,(700838173.5,0.030835705)
,(701100082.2,0.030991553)
,(701324273.3,0.031154553)
,(701532954.3,0.031317233)
,(701799093,0.031473477)
,(702070871.8,0.031635205)
,(702240425.1,0.031796533)
,(702510793.9,0.031956753)
,(702743445,0.032118481)
,(702975743.6,0.032278301)
,(703216854.7,0.032435177)
,(703411435.7,0.032596905)
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,(723686979,0.092056749)
,(723572063.5,0.092255189)
,(723584401,0.092449429)
,(723443047.9,0.092647709)
,(723410970.2,0.092845989)
,(723289004.6,0.093044429)
,(723248466.9,0.093236909)
,(723143421.4,0.093435589)
,(723087373.7,0.093634069)
,(722969638.1,0.093834309)
,(722933330.4,0.094026309)
,(722817004.9,0.094225709)
,(722772237.2,0.094425349)
,(722703499.4,0.094625709)
,(722585763.8,0.094825749)
,(722545226.1,0.095018709)
,(722469438.3,0.095218109)
,(722343595.2,0.095423229)
,(722245599.7,0.095619189)
,(722165581.8,0.095816629)
,(722061946.3,0.096014909)
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,(721892393,0.096414509)
,(721846215.3,0.096616429)
,(721720372.2,0.096817909)
,(721631894.3,0.097019269)
,(721494771.1,0.097219469)
,(721398185.7,0.097419669)
,(721354475.5,0.097618109)
,(721231452.4,0.097815349)
,(721091156.7,0.098018789)
,(720990341.3,0.098221709)
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,(720823608,0.098630829)
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,(720044931.8,0.100029389)
,(719876788.5,0.100229269)
,(719792893.1,0.100430669)]
elif HL == 'X52':
self.__hardLaw = [(358990000,0)
,(362190000,0.00023)
,(365390000,0.00048)
,(368590000,0.00076)
,(371790000,0.00106)
,(374990000,0.00139)
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,(410190000,0.00762)
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,(426190000,0.01294)
,(429390000,0.01428)
,(432590000,0.01573)
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,(442190000,0.02081)
,(445390000,0.02278)
,(448590000,0.0249)
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,(454990000,0.02966)
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,(474190000,0.04895)
,(477390000,0.05305)
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,(496590000,0.08474)
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,(506190000,0.10619)
,(509390000,0.11436)
,(512590000,0.12309)
,(515790000,0.13241)
,(518990000,0.14237)
,(522190000,0.15299)
,(525390000,0.16433)
,(528590000,0.17643)
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,(534990000,0.20307)
,(538190000,0.21771)
,(541390000,0.2333)
,(544590000,0.2499)
,(547790000,0.26757)
,(550990000,0.28637)
,(554190000,0.30635)
,(557400000,0.3276)
,(560600000,0.35018)
,(563800000,0.37417)
,(567000000,0.39964)
,(570200000,0.42668)
,(573400000,0.45538)
,(576600000,0.48583)
,(579800000,0.51812)
,(583000000,0.55235)
,(586200000,0.58864)
,(589400000,0.62708)
,(592600000,0.6678)
,(595800000,0.71092)
,(599000000,0.75657)
,(602200000,0.80487)
,(605400000,0.85597)
,(608600000,0.91002)
,(611800000,0.96716)
,(615000000,1.02756)
,(618200000,1.09138)
,(621400000,1.15881)
,(624600000,1.23001)
,(627800000,1.30519)
,(631000000,1.38453)
,(634200000,1.46826)
,(637400000,1.55659)
,(640600000,1.64975)
,(643800000,1.74797)
,(647000000,1.8515)
,(650200000,1.96061)
,(653400000,2.07555)
,(656600000,2.19663)
,(659800000,2.32411)
,(663000000,2.45833)
,(666200000,2.59959)]
elif HL == 'X60':
self.__hardLaw = [(414000000,0)
,(417433333.33,0.000228)
,(420866666.66,0.000477)
,(424300000,0.000748)
,(427733333.33,0.001043)
,(431166666.66,0.001364)
,(434600000,0.001713)
,(438033333.33,0.002094)
,(441466666.66,0.002508)
,(444900000,0.002958)
,(448333333.33,0.003447)
,(451766666.66,0.003978)
,(455200000,0.004555)
,(458633333.33,0.005182)
,(462066666.66,0.005861)
,(465500000,0.006599)
,(468933333.33,0.007398)
,(472366666.66,0.008264)
,(475800000,0.009203)
,(479233333.33,0.010218)
,(482666666.66,0.011318)
,(486100000,0.012507)
,(489533333.33,0.013792)
,(492966666.66,0.015182)
,(496400000,0.016682)
,(499833333.33,0.018302)
,(503266666.66,0.020051)
,(506700000,0.021936)
,(510133333.33,0.02397)
,(513566666.66,0.026161)
,(517000000,0.028521)
,(520433333.33,0.031062)
,(523866666.66,0.033796)
,(527300000,0.036738)
,(530733333.33,0.039901)
,(534166666.66,0.0433)
,(537599999.99,0.046952)
,(541033333.33,0.050873)
,(544466666.66,0.055082)
,(547899999.99,0.059597)
,(551333333.33,0.06444)
,(554766666.66,0.069631)
,(558199999.99,0.075194)
,(561633333.33,0.081152)
,(565066666.66,0.087531)
,(568499999.99,0.094358)
,(571933333.33,0.101662)
,(575366666.66,0.109472)
,(578799999.99,0.117821)
,(582233333.33,0.126743)
,(585666666.66,0.136272)
,(589099999.99,0.146447)
,(592533333.33,0.157307)
,(595966666.66,0.168895)
,(599399999.99,0.181253)
,(602833333.33,0.194429)
,(606266666.66,0.208472)
,(609699999.99,0.223433)
,(613133333.33,0.239367)
,(616566666.66,0.256331)
,(619999999.99,0.274386)
,(623433333.33,0.293595)
,(626866666.66,0.314025)
,(630299999.99,0.335746)
,(633733333.33,0.358833)
,(637166666.66,0.383362)
,(640599999.99,0.409417)
,(644033333.33,0.437083)
,(647466666.66,0.466449)
,(650899999.99,0.497612)
,(654333333.33,0.530669)
,(657766666.66,0.565727)
,(661199999.99,0.602894)
,(664633333.33,0.642286)
,(668066666.66,0.684023)
,(671499999.99,0.728232)
,(674933333.33,0.775045)
,(678366666.66,0.824602)
,(681799999.99,0.877048)
,(685233333.33,0.932536)
,(688666666.66,0.991226)
,(692099999.99,1.053285)
,(695533333.33,1.118889)
,(698966666.66,1.18822)
,(702399999.99,1.261472)
,(705833333.33,1.338845)
,(709266666.66,1.420549)
,(712699999.99,1.506804)
,(716133333.33,1.597839)
,(719566666.66,1.693896)
,(722999999.99,1.795224)
,(726433333.33,1.902086)
,(729866666.66,2.014756)
,(733299999.99,2.133521)
,(736733333.33,2.258678)
,(740166666.66,2.390541)
,(743599999.99,2.529434)]
elif HL == 'X65':
self.__hardLaw = [(448000000, 0)
,(450733333.33, 0.000202)
,(453466666.66, 0.000421)
,(456200000, 0.000659)
,(458933333.33, 0.000915)
,(461666666.66, 0.001193)
,(464400000, 0.001494)
,(467133333.33, 0.001819)
,(469866666.66, 0.00217)
,(472600000, 0.00255)
,(475333333.33, 0.00296)
,(478066666.66, 0.003404)
,(480800000, 0.003883)
,(483533333.33, 0.0044)
,(486266666.66, 0.004959)
,(489000000, 0.005562)
,(491733333.33, 0.006212)
,(494466666.66, 0.006914)
,(497200000, 0.00767)
,(499933333.33, 0.008486)
,(502666666.66, 0.009365)
,(505400000, 0.010312)
,(508133333.33, 0.011332)
,(510866666.66, 0.01243)
,(513600000, 0.013612)
,(516333333.33, 0.014883)
,(519066666.66, 0.016251)
,(521800000, 0.017721)
,(524533333.33, 0.019302)
,(527266666.66, 0.021)
,(530000000, 0.022824)
,(532733333.33, 0.024783)
,(535466666.66, 0.026885)
,(538200000, 0.029141)
,(540933333.33, 0.031561)
,(543666666.66, 0.034156)
,(546400000, 0.036939)
,(549133333.33, 0.03992)
,(551866666.66, 0.043114)
,(554600000, 0.046535)
,(557333333.33, 0.050197)
,(560066666.66, 0.054117)
,(562800000, 0.058311)
,(565533333.33, 0.062797)
,(568266666.66, 0.067593)
,(571000000, 0.072721)
,(573733333.33, 0.0782)
,(576466666.66, 0.084054)
,(579200000, 0.090305)
,(581933333.33, 0.096979)
,(584666666.66, 0.104103)
,(587400000, 0.111704)
,(590133333.33, 0.119812)
,(592866666.66, 0.128458)
,(595600000, 0.137676)
,(598333333.33, 0.1475)
,(601066666.66, 0.157967)
,(603800000, 0.169116)
,(606533333.33, 0.180988)
,(609266666.66, 0.193627)
,(612000000, 0.207078)
,(614733333.33, 0.22139)
,(617466666.66, 0.236614)
,(620200000, 0.252802)
,(622933333.33, 0.270013)
,(625666666.66, 0.288305)
,(628400000, 0.307742)
,(631133333.33, 0.328389)
,(633866666.66, 0.350316)
,(636600000, 0.373597)
,(639333333.33, 0.398309)
,(642066666.66, 0.424533)
,(644800000, 0.452354)
,(647533333.33, 0.481864)
,(650266666.66, 0.513156)
,(653000000, 0.54633)
,(655733333.33, 0.58149)
,(658466666.66, 0.618747)
,(661200000, 0.658216)
,(663933333.33, 0.700019)
,(666666666.66, 0.744282)
,(669400000, 0.791141)
,(672133333.33, 0.840736)
,(674866666.66, 0.893213)
,(677600000, 0.948729)
,(680333333.33, 1.007446)
,(683066666.66, 1.069535)
,(685800000, 1.135173)
,(688533333.33, 1.204551)
,(691266666.66, 1.277863)
,(694000000, 1.355316)
,(696733333.33, 1.437127)
,(699466666.66, 1.523523)
,(702200000, 1.61474)
,(704933333.33, 1.711027)
,(707666666.66, 1.812646)
,(710400000, 1.919869)]
elif HL.lower() == 'elastic':
self.__hardLaw = []
elif HL.upper() == 'X42_RO':
self.__hardLaw = [[289.e6,12.03,2.55]]
elif HL.upper() == 'X46_RO':
self.__hardLaw = [[317.e6,13.67,2.23]]
elif HL.upper() == 'X52_RO':
self.__hardLaw = [[358.e6,17.99,1.86]]
elif HL.upper() == 'X56_RO':
self.__hardLaw = [[386.e6,18.44,1.66]]
elif HL.upper() == 'X60_RO':
self.__hardLaw = [[413.e6,18.99,1.48]]
elif HL.upper() == 'X65_RO':
self.__hardLaw = [[448.e6,25.58,1.29]]
elif HL.upper() == 'X70_RO':
self.__hardLaw = [[482.e6,27.13,1.13]]
elif HL.upper() == 'X80_RO':
self.__hardLaw = [[551.e6,37.,0.86]]
else:
self.__hardLaw = []
raise Exception("Unknown hardening law")
return self.__hardLaw
Introduce Yourself (Example Post)
This is an example post, originally published as part of Blogging University. Enroll in one of our ten programs, and start your blog right.
You’re going to publish a post today. Don’t worry about how your blog looks. Don’t worry if you haven’t given it a name yet, or you’re feeling overwhelmed. Just click the “New Post” button, and tell us why you’re here.
Why do this?
- Because it gives new readers context. What are you about? Why should they read your blog?
- Because it will help you focus you own ideas about your blog and what you’d like to do with it.
The post can be short or long, a personal intro to your life or a bloggy mission statement, a manifesto for the future or a simple outline of your the types of things you hope to publish.
To help you get started, here are a few questions:
- Why are you blogging publicly, rather than keeping a personal journal?
- What topics do you think you’ll write about?
- Who would you love to connect with via your blog?
- If you blog successfully throughout the next year, what would you hope to have accomplished?
You’re not locked into any of this; one of the wonderful things about blogs is how they constantly evolve as we learn, grow, and interact with one another — but it’s good to know where and why you started, and articulating your goals may just give you a few other post ideas.
Can’t think how to get started? Just write the first thing that pops into your head. Anne Lamott, author of a book on writing we love, says that you need to give yourself permission to write a “crappy first draft”. Anne makes a great point — just start writing, and worry about editing it later.
When you’re ready to publish, give your post three to five tags that describe your blog’s focus — writing, photography, fiction, parenting, food, cars, movies, sports, whatever. These tags will help others who care about your topics find you in the Reader. Make sure one of the tags is “zerotohero,” so other new bloggers can find you, too.
MyTech 