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ReadASC.py
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ReadASC.py
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import numpy as np
import matplotlib.pyplot as plt
from itertools import islice
from tkinter import *
from tkinter import ttk
from tkinter import filedialog as fd
from tkinter.messagebox import showinfo
from tkinter import messagebox
from RS_function import RS_function
import urllib.request as ur
import json as js
import webbrowser
import os
import scipy.integrate as it
import math
def openMap():
webbrowser.open('http://www.google.com/maps/place/'+ str(latitude) +','+str(longitude)+'/@'+ str(latitude) +','+str(longitude)+',12z', new=2)
def argmedian(x):
return np.argpartition(x, len(x) // 2)[len(x) // 2]
def absmaxND(a):
amax = np.max(a)
amin = np.min(a)
return np.where(-amin > amax, -amin, amax)
def chunkstring(string, length):
return (float(string[0+i:length+i]) for i in range(0, len(string), length))
def readchunk(f, numofLines):
x=[]
for line in islice(f, 0, numofLines):
x = x + list(chunkstring(line[0:len(line)-1],20))
#print(x)
return x
def lines(points):
if points % 8 == 0:
nLines = int(points/8)
else:
nLines = int(points/8)+1
return nLines
def scaleValue(units):
if units =="cm/sec2":
return 1/980.665
elif units == "cm/s^2":
return 1/980.665
else:
return 1.0
def maxaccel(x, t):
ymax = max(x)
xpos = x.index(ymax); xmax = t[xpos]
return [xmax, ymax]
def maxSA(x, t):
ymax = np.amax(x)
xpos = np.argmax(x); xmax = t[xpos]
return [xmax, ymax]
def minaccel(x, t):
ymin = min(x)
xpos = x.index(ymin); xmin = t[xpos]
return [xmin, ymin]
def accelim(x,y,z):
xmax = max([abs(i) for i in x])
ymax = max([abs(i) for i in y])
zmax = max([abs(i) for i in z])
return max([xmax,ymax,zmax])
def on_click():
#%% Parameters of the response spectra
if EOF == 1:
noSubplotsRows = 1 + win.plotVel.get() + win.plotDisp.get() + win.plotFFT.get()
noSubplotsCols = 1
subplotCounter = 1
plt.figure(1, figsize=(14,10))
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.title(nameCh1)
plt.xlabel('Time (secs)')
plt.ylabel('Accel(g)')
plt.plot(T1,scaledAccel1, label="Channel1", color= 'Red', linewidth=1.0)
amax=maxaccel(scaledAccel1, T1); plt.annotate(str(round(amax[1],3)), xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
amin=minaccel(scaledAccel1, T1); plt.annotate(str(round(amin[1],3)), xy=(amin[0], amin[1]), xytext=(amin[0], amin[1]), verticalalignment='top')
plt.xlim([float(win.entry_Lowxlim.get()), float(win.entry_Highxlim.get())])
if str(win.plotVel.get()) =="1":
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel('Velocity '+ unitsVel1)
plt.plot(T1,vel1, label="Channel1", color= 'Blue', linewidth=1.0)
plt.xlim([float(win.entry_Lowxlim.get()), float(win.entry_Highxlim.get())])
if str(win.plotDisp.get()) =="1":
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel("Disp "+ unitsDispl1)
plt.plot(T1,displ1, label="Channel1", color= 'Green', linewidth=1.0)
plt.xlim([float(win.entry_Lowxlim.get()), float(win.entry_Highxlim.get())])
if str(win.plotFFT.get()) =="1":
fourierTransform = np.fft.fft(scaledAccel1)/len(scaledAccel1) # Normalize amplitude
fourierTransform = fourierTransform[range(int(len(scaledAccel1)/2))] # Exclude sampling frequency
tpCount = len(scaledAccel1)
values = np.arange(int(tpCount/2))
timePeriod = tpCount*dtAccel1
frequencies = values/timePeriod
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
#plt.title('FFT of Acceleration')
plt.grid()
plt.plot(frequencies, abs(fourierTransform),color= 'Red', linewidth=1.0)
plt.xlabel('Frequency')
plt.ylabel('Normalized Amplitude (FFT of Accel)')
plt.xlim([0, 6])
amax=[frequencies[np.argmax(abs(fourierTransform))], max(abs(fourierTransform))]; plt.annotate(str(round(amax[0],3)) +"Hz", xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
else:
tT = np.concatenate( (np.arange(0.05, 0.1, 0.005) , np.arange (0.1, 0.5, 0.01) , np.arange (0.5, 1, 0.02) , np.arange (1, float(canvas.entry_endPeriod.get()), 0.05) ) ) # Time vector for the spectral response
freq = 1/tT # Frequenxy vector
xi = float(canvas.entry_Damping.get()) # Damping factor
df = 1.0/dtAccel1
Sfin=[]
noSubplotsRows = 1 + canvas.createRS.get()+ canvas.plotVel.get() + canvas.plotDisp.get() + canvas.createRS2.get();noSubplotsCols = 3;subplotCounter = 1
yaxislimit = round(accelim(scaledAccel1, scaledAccel2, scaledAccel3)*1.1,2)
nyaxislimit = 0.0 - yaxislimit
plt.figure(figsize=(18,8 + 2*noSubplotsRows))
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.title(nameCh1)
plt.xlabel('Time (secs)')
plt.ylabel('Accel(g)')
plt.plot(T1,scaledAccel1, label="Channel1", color= 'Red', linewidth=1.0)
amax=maxaccel(scaledAccel1, T1); plt.annotate(str(round(amax[1],3)), xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
amin=minaccel(scaledAccel1, T1); plt.annotate(str(round(amin[1],3)), xy=(amin[0], amin[1]), xytext=(amin[0], amin[1]), verticalalignment='top')
plt.ylim([nyaxislimit, yaxislimit])
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.title(nameCh2)
plt.xlabel('Time (secs)')
plt.ylabel('Accel(g)')
plt.plot(T1,scaledAccel2, label="Channel2", color= 'Red', linewidth=1.0)
amax=maxaccel(scaledAccel2, T2); plt.annotate(str(round(amax[1],3)), xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
amin=minaccel(scaledAccel2, T2); plt.annotate(str(round(amin[1],3)), xy=(amin[0], amin[1]), xytext=(amin[0], amin[1]), verticalalignment='top')
plt.ylim([nyaxislimit, yaxislimit])
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.title(nameCh3)
plt.xlabel('Time (secs)')
plt.ylabel('Accel(g)')
plt.plot(T1,scaledAccel3, label="Channel3", color= 'Red', linewidth=1.0)
amax=maxaccel(scaledAccel3, T3); plt.annotate(str(round(amax[1],3)), xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
amin=minaccel(scaledAccel3, T3); plt.annotate(str(round(amin[1],3)), xy=(amin[0], amin[1]), xytext=(amin[0], amin[1]), verticalalignment='top')
plt.ylim([nyaxislimit, yaxislimit])
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
if str(canvas.createRS2.get()) =="1":
subplotCounter+=1
ax =plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(accel1, df, tT, xi, Resp_type = 'SA')
S=Sfin[0,:]*scaleValue(unitsAccel1)
plt.xlabel('Period (secs)')
plt.ylabel('SA (g)')
ax.plot(tT,S,color= 'Red', linewidth=1.0)
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
subplotCounter+=1
ax=plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(accel2, df, tT, xi, Resp_type = 'SA')
S=Sfin[0,:]*scaleValue(unitsAccel2)
plt.xlabel('Period (secs)')
plt.ylabel('SA (g)')
ax.plot(tT,S,color= 'Red', linewidth=1.0)
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
subplotCounter+=1
ax=plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(accel3, df, tT, xi, Resp_type = 'SA')
S=Sfin[0,:]*scaleValue(unitsAccel3)
plt.xlabel('Period (secs)')
plt.ylabel('SA (g)')
ax.plot(tT,S,color= 'Red', linewidth=1.0)
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
if str(canvas.createRS.get()) =="1":
#win.Labelplot["text"]="This may take some time"
subplotCounter+=1
ax =plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(accel1, df, tT, xi, Resp_type = 'PSASD')
S=Sfin[0,:]*scaleValue(unitsAccel1)
area= round(np.trapz(Sfin[0,:],Sfin[1,:])/10000,2)
#print(area)
plt.xlabel('Peak D (cm)')
plt.ylabel('Peak PSA (g)')
ax.plot(Sfin[1,:],S,color= 'Red', linewidth=1.0)
SfinClosed = np.append(np.insert(Sfin[1,:],0,0.0),0.0)
SClosed = np.append(np.insert(S,0,0.0),0.0)
plt.fill(SfinClosed,SClosed, "r", alpha=0.5)
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
#amax=maxSA(Sfin, Sfin2); plt.annotate(str(round(amax[0],3)) + " secs", xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
radialPeriods(1/scaleValue(unitsAccel1),plt, ax)
ax.text(x_right/3, y_high/3, str(area) + r"$(m/s)^2$", horizontalalignment='center', fontsize=10, color ='Blue')
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
subplotCounter+=1
ax=plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(accel2, df, tT, xi, Resp_type = 'PSASD')
S=Sfin[0,:]*scaleValue(unitsAccel2)
area= round(np.trapz(Sfin[0,:],Sfin[1,:])/10000,2)
#print(area)
plt.xlabel('Peak D (cm)')
plt.ylabel('Peak PSA (g)')
ax.plot(Sfin[1,:],S,color= 'Red', linewidth=1.0)
SfinClosed = np.append(np.insert(Sfin[1,:],0,0.0),0.0)
SClosed = np.append(np.insert(S,0,0.0),0.0)
plt.fill(SfinClosed,SClosed, "r", alpha=0.5)
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
#amax=maxSA(Sfin, Sfin2); plt.annotate(str(round(amax[0],3)) + " secs", xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
radialPeriods(1/scaleValue(unitsAccel2),plt, ax)
ax.text(x_right/3, y_high/3, str(area) + r"$(m/s)^2$", horizontalalignment='center', fontsize=10, color ='Blue')
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
subplotCounter+=1
ax=plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(accel3, df, tT, xi, Resp_type = 'PSASD')
S=Sfin[0,:]*scaleValue(unitsAccel3)
area= round(np.trapz(Sfin[0,:],Sfin[1,:])/10000,2)
#print(area)
plt.xlabel('Peak D (cm)')
plt.ylabel('Peak PSA (g)')
SfinClosed = np.append(np.insert(Sfin[1,:],0,0.0),0.0)
SClosed = np.append(np.insert(S,0,0.0),0.0)
plt.fill(SfinClosed,SClosed, "r", alpha=0.5)
ax.plot(Sfin[1,:],S,color= 'Red', linewidth=1.0)
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
#amax=maxSA(Sfin, Sfin2); plt.annotate(str(round(amax[0],3)) + " secs", xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
radialPeriods(1/scaleValue(unitsAccel3),plt, ax)
ax.text(x_right/3, y_high/3, str(area) + r"$(m/s)^2$", horizontalalignment='center', fontsize=10, color ='Blue')
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
if str(canvas.plotVel.get()) =="1":
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel('Velocity '+unitsVel1)
plt.plot(T1,vel1, label="Channel1", color= 'Blue', linewidth=1.0)
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel('Velocity '+unitsVel2)
plt.plot(T1,vel2, label="Channel2", color= 'Blue', linewidth=1.0)
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel('Velocity '+unitsVel3)
plt.plot(T1,vel3, label="Channel3", color= 'Blue', linewidth=1.0)
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
if str(canvas.plotDisp.get()) =="1":
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel('Disp '+unitsDispl1)
plt.plot(T1,displ1, label="Channel1", color= 'Green', linewidth=1.0)
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel('Disp '+unitsDispl2)
plt.plot(T1,displ2, label="Channel2", color= 'Green', linewidth=1.0)
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.xlabel('Time (secs)')
plt.ylabel('Disp '+unitsDispl3)
plt.plot(T1,displ3, label="Channel3", color= 'Green', linewidth=1.0)
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
if EOF == 0 and str(canvas.plotOrbit.get()) =="1":
plt.figure(2,figsize=(14,10))
noSubplotsRows = 1;noSubplotsCols = 1;subplotCounter = 1
locanvasdex1=int(float(canvas.entry_Lowxlim.get())/dtDispl1); highIndex1=int(float(canvas.entry_Highxlim.get())/dtDispl1);
locanvasdex2=int(float(canvas.entry_Lowxlim.get())/dtDispl2); highIndex2=int(float(canvas.entry_Highxlim.get())/dtDispl2);
locanvasdex3=int(float(canvas.entry_Lowxlim.get())/dtDispl3); highIndex3=int(float(canvas.entry_Highxlim.get())/dtDispl3);
if str(canvas.plotOrbit.get()) =="1":
ax = plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter, projection='3d')
if "Up" in nameCh1 or "HNZ" in nameCh1:
ax.set_xlabel(nameCh2, fontsize=6)
ax.set_ylabel(nameCh3, fontsize=6)
ax.set_zlabel(nameCh1, fontsize=6)
ax.plot(displ2[locanvasdex2:highIndex2],displ3[locanvasdex3:highIndex3],displ1[locanvasdex1:highIndex1], label="Orbitplot", color= 'Black', linewidth=0.5)
elif "Up" in nameCh2 or "HNZ" in nameCh2:
ax.set_xlabel(nameCh1, fontsize=6)
ax.set_ylabel(nameCh3, fontsize=6)
ax.set_zlabel(nameCh2, fontsize=6)
ax.plot(displ1[locanvasdex1:highIndex1],displ3[locanvasdex3:highIndex3],displ2[locanvasdex2:highIndex2], label="Orbitplot", color= 'Black', linewidth=0.5)
elif "Up" in nameCh3 or "HNZ" in nameCh3:
ax.set_xlabel(nameCh1, fontsize=6)
ax.set_ylabel(nameCh2, fontsize=6)
ax.set_zlabel(nameCh3, fontsize=6)
ax.plot(displ1[locanvasdex1:highIndex1],displ2[locanvasdex2:highIndex2],displ3[locanvasdex3:highIndex3], label="Orbitplot", color= 'Black', linewidth=0.5)
plt.subplots_adjust(left=0.1, right=0.95, top=0.95, bottom=0.05)
plt.show()
def rotatedplots(plt, ax, T1, resAccelmax, noSubplotsRows,noSubplotsCols, subplotCounter,rotType):
if str(canvas.includeASCE.get())=="1":
asceSpect = ASCE722Spectra()
subplotCounter+=1
plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.grid()
plt.title(rotType)
plt.xlabel('Time (secs)')
plt.ylabel('Accel(g)')
plt.plot(T1,resAccelmax , label="Resultant", color= 'Red', linewidth=1.0)
amax=[T1[np.argmax(resAccelmax)], np.max(resAccelmax)]; plt.annotate(str(round(amax[1],3)), xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
amin=[T1[np.argmin(resAccelmax)], np.min(resAccelmax)]; plt.annotate(str(round(amin[1],3)), xy=(amin[0], amin[1]), xytext=(amin[0], amin[1]), verticalalignment='top')
plt.xlim([float(canvas.entry_Lowxlim.get()), float(canvas.entry_Highxlim.get())])
resAccelmax = resAccelmax/scaleValue(unitsAccel1)
tT = np.concatenate( (np.arange(0.05, 0.1, 0.005) , np.arange (0.1, 0.5, 0.01) , np.arange (0.5, 1, 0.02) , np.arange (1, float(canvas.entry_endPeriod.get()), 0.05) ) ) # Time vector for the spectral response
freq = 1/tT # Frequenxy vector
xi = float(canvas.entry_Damping.get()) # Damping factor
df = 1.0/dtAccel1
Sfin=[]
if str(canvas.createRS2.get()) =="1":
subplotCounter+=1
ax =plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(resAccelmax, df, tT, xi, Resp_type = 'SA')
S=Sfin[0,:]*scaleValue(unitsAccel1)
plt.xlabel('Period (secs)')
plt.ylabel('SA (g)')
ax.plot(tT,S,color= 'Red', linewidth=1.0, label = "Resultant Response Spectrum")
if str(canvas.includeASCE.get())=="1":
ax.plot(asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["periods"],\
asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["ordinates"],color= 'blue',linewidth=0.5,label="ASCE7-22 Multiperiod Spectrum")
ax.plot(asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["periods"],\
asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["ordinates"],color= 'green',linewidth=0.5,label="ASCE7-22 2-period Spectrum")
ax.plot(asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["periods"],\
asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["ordinates"],color= 'blue', linestyle="--",linewidth=0.5,label="MCE Multiperiod Spectrum")
ax.plot(asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["periods"],\
asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["ordinates"],color= 'green',linestyle="--", linewidth=0.5,label="MCE2 2-period Spectrum")
ax.set_xlim(0,float(canvas.entry_endPeriod.get()))
plt.legend(loc="center right",fontsize = 'x-small')
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
if str(canvas.createRS.get()) =="1":
#canvas.Labelplot["text"]="This may take some time"
subplotCounter+=1
ax =plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(resAccelmax, df, tT, xi, Resp_type = 'PSASD')
S=Sfin[0,:]*scaleValue(unitsAccel1)
area= round(np.trapz(Sfin[0,:],Sfin[1,:])/10000,2)
#print(area)
plt.xlabel('Peak D (cm)')
plt.ylabel('Peak PSA (g)')
ax.plot(Sfin[1,:],S,color= 'Red', linewidth=1.0, label = "Resultant Response Spectrum")
SfinClosed = np.append(np.insert(Sfin[1,:],0,0.0),0.0)
SClosed = np.append(np.insert(S,0,0.0),0.0)
plt.fill(SfinClosed,SClosed, "r", alpha=0.5)
if str(canvas.includeASCE.get())=="1":
mPS, tPS, MmPS, MtPS = convertADRS(asceSpect)
ax.plot(mPS[0,:],mPS[1,:], color='blue', linewidth =0.5,label="ASCE7-22 Multiperiod Spectrum")
ax.plot(tPS[0,:],tPS[1,:], color='green', linewidth =0.5,label="ASCE7-22 2-period Spectrum")
ax.plot(MmPS[0,:],MmPS[1,:], color='blue',linestyle="--", linewidth =0.5,label="MCE Multiperiod Spectrum")
ax.plot(MtPS[0,:],MtPS[1,:], color='green',linestyle="--", linewidth =0.5,label="MCE2 2-period Spectrum")
#plt.legend(loc="center right",fontsize = 'xx-small')
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
#amax=maxSA(Sfin, Sfin2); plt.annotate(str(round(amax[0],3)) + " secs", xy=(amax[0], amax[1]), xytext=(amax[0], amax[1]))
radialPeriods(1/scaleValue(unitsAccel1),plt, ax)
ax.text(x_right/4, y_high/4, str(area) + r"$(m/s)^2$", horizontalalignment='center', fontsize=10, color ='Blue')
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
if str(canvas.createTrip.get()) =="1":
subplotCounter+=1
ax =plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
Sfin= RS_function(resAccelmax, df, tT, xi, Resp_type = 'SA')
S=Sfin[0,:]/(2*np.pi/tT)
plt.xlabel('Period (secs)')
plt.ylabel('Psuedo Velocity cm/sec')
plt.grid()
ax.plot(tT,S,color= 'Red', linewidth=1.0, label = "Resultant Response Spectrum")
x_left = np.min(tT); x_right =max(tT)
if str(canvas.includeASCE.get())=="1":
tasce =np.delete(np.array(asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'blue',linewidth=1.0,label="ASCE7-22 Multiperiod Spectrum")
tasce =np.delete(np.array(asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'green',linewidth=1.0,label="ASCE7-22 2-period Spectrum")
tasce =np.delete(np.array(asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'blue', linestyle="--",linewidth=1.0,label="MCE Multiperiod Spectrum")
tasce =np.delete(np.array(asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'green', linestyle="--",linewidth=1.0,label="MCE2 2-period Spectrum")
plt.xscale("log")
plt.yscale("log")
#plt.legend(loc="center",fontsize = 'x-small')
ax.text(0.03, 0.90, 'Damping=' + str(round(xi,3)), horizontalalignment='left', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
tripartitegrids(1/scaleValue(unitsAccel1),plt,ax,x_left,x_right)
ax.set_xlim(x_left,x_right)
plt.subplots_adjust(left=0.1, right=0.95, top=0.95, bottom=0.05)
plt.show()
def on_clickRot():
#%% Parameters of the response spectra
horRec=np.zeros((2,len(scaledAccel1)))
if EOF == 0:
if "Up" in nameCh1 or "HNZ" in nameCh1:
horRec[0,:] = scaledAccel2
horRec[1,:] = scaledAccel3
horRec1=nameCh2;horRec2=nameCh3
elif "Up" in nameCh2 or "HNZ" in nameCh2:
horRec[0,:] = scaledAccel1
horRec[1,:] = scaledAccel3
horRec1=nameCh1;horRec2=nameCh3
elif "Up" in nameCh3 or "HNZ" in nameCh3:
horRec[0,:] = scaledAccel1
horRec[1,:] = scaledAccel2
horRec1=nameCh1;horRec2=nameCh2
plt.close(3)
plt.figure(3,figsize=(14,15))
noSubplotsRows = 1 + math.ceil((canvas.createRS.get()+canvas.createRS2.get()+canvas.createTrip.get())/2);noSubplotsCols = 2;subplotCounter = 1
ax = plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.title("Orbit plot for acceleration")
plt.plot(horRec[0,:], horRec[1,:])
rotmaxLoc = np.argmax(np.sqrt(np.square(horRec[0,:])+np.square(horRec[1,:])))
resAccelmax = np.sqrt(np.square(horRec[0,rotmaxLoc])+np.square(horRec[1,rotmaxLoc]))
resAngle = np.arctan2(horRec[1,rotmaxLoc],horRec[0,rotmaxLoc])
#print(resAccelmax, horRec[0,rotmaxLoc]*np.cos(resAngle)+horRec[1,rotmaxLoc]*np.sin(resAngle) )
plt.plot([0,horRec[0,rotmaxLoc]], [0, horRec[1,rotmaxLoc]], color='red',linewidth=2.0 )
plt.annotate(round(resAccelmax,3), xy=(horRec[0,rotmaxLoc], horRec[1,rotmaxLoc]), xytext=(horRec[0,rotmaxLoc], horRec[1,rotmaxLoc]), fontsize=10, color= 'Blue')
plt.xlabel(horRec1); plt.ylabel(horRec2)
maxLimit = max(np.max(horRec), np.abs(np.min(horRec)))/0.95
plt.xlim(-maxLimit, maxLimit)
plt.ylim(-maxLimit, maxLimit)
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
resAccelmax = (horRec[0,:]*np.cos(resAngle)+horRec[1,:]*np.sin(resAngle))
rotType="Resultant Acceleration in direction of maximum acceleration"
rotatedplots(plt, ax, T1, resAccelmax, noSubplotsRows,noSubplotsCols, subplotCounter,rotType)
def on_clickRotD50():
#%% Parameters of the response spectra
horRec=np.zeros((2,len(scaledAccel1)))
res = messagebox.askyesno("RotD50","This is a computational intensive process \nand will take some time (3 to 10 mins)\nContinue?")
if res:
if EOF == 0:
if "Up" in nameCh1 or "HNZ" in nameCh1:
horRec[0,:] = scaledAccel2
horRec[1,:] = scaledAccel3
horRec1=nameCh2;horRec2=nameCh3
elif "Up" in nameCh2 or "HNZ" in nameCh2:
horRec[0,:] = scaledAccel1
horRec[1,:] = scaledAccel3
horRec1=nameCh1;horRec2=nameCh3
elif "Up" in nameCh3 or "HNZ" in nameCh3:
horRec[0,:] = scaledAccel1
horRec[1,:] = scaledAccel2
horRec1=nameCh1;horRec2=nameCh2
plt.close(5)
pb.start()
if str(canvas.includeASCE.get())=="1":
asceSpect = ASCE722Spectra()
plt.figure(6,figsize=(14,15))
noSubplotsRows = 2 ;noSubplotsCols = 1 + canvas.createTrip.get();subplotCounter = 1
ax = plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
tT = np.concatenate( (np.arange(0.05, 0.1, 0.01) , np.arange (0.1, 0.5, 0.05) , np.arange (0.5, 1, 0.05) , np.arange (1, float(canvas.entry_endPeriod.get()), 0.1) ) ) # Time vector for the spectral response
freq = 1/tT # Frequenxy vector
xi = float(canvas.entry_Damping.get()) # Damping factor
df = 1.0/dtAccel1
Sfin=[]
rotmax = np.zeros((180,len(tT)))
rotmaxlimit = np.zeros((360,2))
pb.configure(maximum=182)
for i in range(0,180,1):
resAngle = i/180.0 * np.pi
resAccel = np.zeros((len(horRec[0,:])))
resAccel = (horRec[0,:]*np.cos(resAngle)+horRec[1,:]*np.sin(resAngle))
rotmaxlimit[i,:] = absmaxND(resAccel)*np.cos(resAngle), absmaxND(resAccel)*np.sin(resAngle)
rotmaxlimit[i+180,:] = -absmaxND(resAccel)*np.cos(resAngle), -absmaxND(resAccel)*np.sin(resAngle)
Sfin= RS_function(resAccel, df, tT, xi, Resp_type = 'SA')
rotmax[i,:]= Sfin[0,:]
pb.step(1)
win.update_idletasks()
rotD50Spec = np.zeros((len(tT)));rotD100Spec = np.zeros((len(tT)));rotD00Spec = np.zeros((len(tT)))
for i in range(0,len(tT),1):
rotD50Spec[i] = np.median(rotmax[:,i])
rotD100Spec[i] = np.max(rotmax[:,i])
rotD00Spec[i] = np.min(rotmax[:,i])
pb.step(1)
win.update_idletasks()
plt.title("Orbit plot for acceleration")
plt.plot(horRec[0,:], horRec[1,:])
plt.plot(np.append(rotmaxlimit[:,0],rotmaxlimit[-1,0]), np.append(rotmaxlimit[:,1],rotmaxlimit[-1,1]))
plt.xlabel(horRec1); plt.ylabel(horRec2)
maxLimit = max(np.max(horRec), np.abs(np.min(horRec)))/0.95
plt.xlim(-maxLimit, maxLimit)
plt.ylim(-maxLimit, maxLimit)
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
Sfin1= RS_function(horRec[0,:], df, tT, xi, Resp_type = 'SA')
Sfin2= RS_function(horRec[1,:], df, tT, xi, Resp_type = 'SA')
geomeanSpectra = np.sqrt(np.array(Sfin1[0:])*np.array(Sfin2[0,:]))
pb.step(1)
win.update_idletasks()
subplotCounter+=1
ax =plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.xlabel('Period (secs)')
plt.ylabel('SA (g)')
ax.plot(tT,rotD50Spec,color= 'Red', linewidth=1.0, label = "RotD50 Response Spectrum")
ax.plot(tT,rotD100Spec,color= 'Red', linestyle="--", linewidth=1.0, label = "RotD100 Response Spectrum")
ax.plot(tT,rotD00Spec,color= 'Red', linestyle='-.', linewidth=1.0, label = "RotD00 Response Spectrum")
ax.plot(tT,geomeanSpectra[0,:],color= 'k', linewidth=1.0, label = "Geomean Spectra")
if str(canvas.includeASCE.get())=="1":
ax.plot(asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["periods"],\
asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["ordinates"],color= 'blue',linewidth=0.5,label="ASCE7-22 Multiperiod Spectrum")
ax.plot(asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["periods"],\
asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["ordinates"],color= 'green',linewidth=0.5,label="ASCE7-22 2-period Spectrum")
ax.plot(asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["periods"],\
asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["ordinates"],color= 'blue', linestyle="--",linewidth=0.5,label="MCE Multiperiod Spectrum")
ax.plot(asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["periods"],\
asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["ordinates"],color= 'green',linestyle="--", linewidth=0.5,label="MCE2 2-period Spectrum")
ax.set_xlim(0,float(canvas.entry_endPeriod.get()))
plt.legend(loc="center right",fontsize = 'x-small')
ax.text(0.97, 0.97, 'Damping=' + str(round(xi,3)), horizontalalignment='right', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
if str(canvas.createTrip.get()) =="1":
subplotCounter+=1
ax =plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
S=rotD50Spec[:]*(1/scaleValue(unitsAccel1))/(2*np.pi/tT)
plt.xlabel('Period (secs)')
plt.ylabel('Psuedo Velocity cm/sec')
plt.grid()
ax.plot(tT,S,color= 'Red', linewidth=1.0, label = "RotD50 Response Spectrum")
x_left = np.min(tT); x_right =max(tT)
if str(canvas.includeASCE.get())=="1":
tasce =np.delete(np.array(asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'blue',linewidth=1.0,label="ASCE7-22 Multiperiod Spectrum")
tasce =np.delete(np.array(asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'green',linewidth=1.0,label="ASCE7-22 2-period Spectrum")
tasce =np.delete(np.array(asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'blue', linestyle="--",linewidth=1.0,label="MCE Multiperiod Spectrum")
tasce =np.delete(np.array(asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["periods"]),0)
aasce = (1/scaleValue(unitsAccel1)) *np.delete(np.array(asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["ordinates"]),0)/(2*np.pi/tasce)
ax.plot(tasce,aasce,color= 'green', linestyle="--",linewidth=1.0,label="MCE2 2-period Spectrum")
plt.xscale("log")
plt.yscale("log")
#plt.legend(loc="center",fontsize = 'x-small')
ax.text(0.03, 0.90, 'Damping=' + str(round(xi,3)), horizontalalignment='left', verticalalignment='top', fontsize=6, color ='Black',transform=ax.transAxes)
tripartitegrids(1/scaleValue(unitsAccel1),plt,ax,x_left,x_right)
ax.set_xlim(x_left,x_right)
pb.stop()
plt.subplots_adjust(left=0.1, right=0.95, top=0.95, bottom=0.05)
plt.show()
def on_clickRotDisp():
#%% Parameters of the response spectra
horRec=np.zeros((2,len(scaledAccel1)))
horDisp=np.zeros((2,len(displ1)))
if EOF == 0:
if "Up" in nameCh1 or "HNZ" in nameCh1:
horRec[0,:] = scaledAccel2;horDisp[0,:] = displ2
horRec[1,:] = scaledAccel3;horDisp[1,:] = displ3
horRec1=nameCh2;horRec2=nameCh3
elif "Up" in nameCh2 or "HNZ" in nameCh2:
horRec[0,:] = scaledAccel1;horDisp[0,:] = displ1
horRec[1,:] = scaledAccel3;horDisp[1,:] = displ3
horRec1=nameCh1;horRec2=nameCh3
elif "Up" in nameCh3 or "HNZ" in nameCh3:
horRec[0,:] = scaledAccel1;horDisp[0,:] = displ1
horRec[1,:] = scaledAccel2;horDisp[1,:] = displ2
horRec1=nameCh1;horRec2=nameCh2
plt.close(4)
plt.figure(4,figsize=(14,15))
noSubplotsRows = 1 + math.ceil((canvas.createRS.get()+canvas.createRS2.get()+canvas.createTrip.get())/2);noSubplotsCols = 2;subplotCounter = 1
ax = plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.title("Orbit plot for displacement")
plt.plot(horDisp[0,:], horDisp[1,:])
rotmaxLoc = np.argmax(np.sqrt(np.square(horDisp[0,:])+np.square(horDisp[1,:])))
resDispmax = np.sqrt(np.square(horDisp[0,rotmaxLoc])+np.square(horDisp[1,rotmaxLoc]))
resAngle = np.arctan2(horDisp[1,rotmaxLoc],horDisp[0,rotmaxLoc])
#print(resAccelmax, horRec[0,rotmaxLoc]*np.cos(resAngle)+horRec[1,rotmaxLoc]*np.sin(resAngle) )
plt.plot([0,horDisp[0,rotmaxLoc]], [0, horDisp[1,rotmaxLoc]], color='red',linewidth=2.0 )
plt.annotate(round(resDispmax,3), xy=(horDisp[0,rotmaxLoc], horDisp[1,rotmaxLoc]), xytext=(horDisp[0,rotmaxLoc], horDisp[1,rotmaxLoc]), fontsize=10, color= 'Blue')
plt.xlabel(horRec1); plt.ylabel(horRec2)
maxLimit = max(np.max(horDisp), np.abs(np.min(horDisp)))/0.95
plt.xlim(-maxLimit, maxLimit)
plt.ylim(-maxLimit, maxLimit)
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
resAccelmax = (horRec[0,:]*np.cos(resAngle)+horRec[1,:]*np.sin(resAngle))
rotType="Resultant Acceleration in direction of maximum displacement"
rotatedplots(plt, ax, T1, resAccelmax, noSubplotsRows,noSubplotsCols, subplotCounter,rotType)
def on_clickRotVel():
#%% Parameters of the response spectra
horRec=np.zeros((2,len(scaledAccel1)))
horVel=np.zeros((2,len(vel1)))
if EOF == 0:
if "Up" in nameCh1 or "HNZ" in nameCh1:
horRec[0,:] = scaledAccel2;horVel[0,:] = vel2
horRec[1,:] = scaledAccel3;horVel[1,:] = vel3
horRec1=nameCh2;horRec2=nameCh3
elif "Up" in nameCh2 or "HNZ" in nameCh2:
horRec[0,:] = scaledAccel1;horVel[0,:] = vel1
horRec[1,:] = scaledAccel3;horVel[1,:] = vel3
horRec1=nameCh1;horRec2=nameCh3
elif "Up" in nameCh3 or "HNZ" in nameCh3:
horRec[0,:] = scaledAccel1;horVel[0,:] = vel1
horRec[1,:] = scaledAccel2;horVel[1,:] = vel2
horRec1=nameCh1;horRec2=nameCh2
plt.close(5)
plt.figure(5,figsize=(14,15))
noSubplotsRows = 1 + math.ceil((canvas.createRS.get()+canvas.createRS2.get()+canvas.createTrip.get())/2);noSubplotsCols = 2;subplotCounter = 1
ax = plt.subplot(noSubplotsRows,noSubplotsCols,subplotCounter)
plt.title("Orbit plot for Velocity")
plt.plot(horVel[0,:], horVel[1,:])
rotmaxLoc = np.argmax(np.sqrt(np.square(horVel[0,:])+np.square(horVel[1,:])))
resVelmax = np.sqrt(np.square(horVel[0,rotmaxLoc])+np.square(horVel[1,rotmaxLoc]))
resAngle = np.arctan2(horVel[1,rotmaxLoc],horVel[0,rotmaxLoc])
#print(resAccelmax, horRec[0,rotmaxLoc]*np.cos(resAngle)+horRec[1,rotmaxLoc]*np.sin(resAngle) )
plt.plot([0,horVel[0,rotmaxLoc]], [0, horVel[1,rotmaxLoc]], color='red',linewidth=2.0 )
plt.annotate(round(resVelmax,3), xy=(horVel[0,rotmaxLoc], horVel[1,rotmaxLoc]), xytext=(horVel[0,rotmaxLoc], horVel[1,rotmaxLoc]), fontsize=10, color= 'Blue')
plt.xlabel(horRec1); plt.ylabel(horRec2)
maxLimit = max(np.max(horVel), np.abs(np.min(horVel)))/0.95
plt.xlim(-maxLimit, maxLimit)
plt.ylim(-maxLimit, maxLimit)
x_left, x_right = ax.get_xlim()
y_low, y_high = ax.get_ylim()
ax.set_aspect(abs((x_right-x_left)/(y_low-y_high)))
resAccelmax = (horRec[0,:]*np.cos(resAngle)+horRec[1,:]*np.sin(resAngle))
rotType="Resultant Acceleration in direction of maximum Velocity"
rotatedplots(plt, ax, T1, resAccelmax, noSubplotsRows,noSubplotsCols, subplotCounter,rotType)
def onclick2():
plt.close('all')
win.destroy()
def saveFile():
messagebox.showinfo('Save Folder', 'Select folder to save in :\n Format:Time<space>Acceleration')
dir_name = fd.askdirectory()
j=0
saveCh1value = str(canvas.SaveCh1.get())
saveCh2value = str(canvas.SaveCh2.get())
saveCh3value = str(canvas.SaveCh3.get())
#print(saveCh1value)
if saveCh1value == "1":
index = len(T1)
#print(index)
with open(dir_name +'/Ch1.txt', 'w') as f:
while j < index:
f.write(str(round(T1[j],3))+ " " + str(scaledAccel1[j])+"\n")
j+= 1
#print(j)
j=0
if saveCh2value == "1":
index = len(T2)
with open(dir_name +'/Ch2.txt', 'w') as f:
while j < index:
f.write(str(round(T2[j],3))+ " " + str(scaledAccel2[j])+"\n")
j+= 1
j=0
if saveCh3value == "1":
index = len(T3)
with open(dir_name +'/Ch3.txt', 'w') as f:
while j < index:
f.write(str(round(T3[j],))+ " " + str(scaledAccel3[j])+"\n")
j+= 1
def radialPeriods(scale, plt, ax):
periodSeries = np.concatenate(( np.arange(0.1,1.0,0.1) , np.arange(1.0,2.0,0.5), np.arange(2.0,5.0,1) ))
#print(periodSeries)
dispLimit, AccelLimit = ax.transData.inverted().transform(ax.transAxes.transform((0.95,0.95)))
w = 2*np.pi/periodSeries
w2 = np.square(w)
a1 = dispLimit*w2/scale
d1 = a1*scale/w2
d2 = AccelLimit*scale/w2
a2 = d2*w2/scale
for i, items in enumerate(d1):
if a1[i] < AccelLimit:
plt.plot([0, d1[i]],[0, a1[i]], linestyle="--", color= 'Blue',linewidth=0.4)
plt.annotate(round(periodSeries[i],1), xy=(d1[i], a1[i]), xytext=(d1[i], a1[i]), fontsize=5, color= 'Blue')
else:
plt.plot([0, d2[i]],[0, a2[i]], linestyle="--", color= 'Blue',linewidth=0.4)
plt.annotate(round(periodSeries[i],1), xy=(d2[i], a2[i]), xytext=(d2[i], a2[i]), fontsize=5, color = 'Blue')
def startlimAccel():
a1 = next(i for i, x in enumerate(accel1) if abs(x) >1)
startTime = max(a1*dtAccel1- 2, 0)
if EOF==0:
a2 = next(i for i, x in enumerate(accel2) if abs(x) >1)
a3 = next(i for i, x in enumerate(accel3) if abs(x) >1)
startTime = max(min(a1*dtAccel1,a2*dtAccel2,a3*dtAccel3) - 2, 0)
return round(startTime,2)
def endlimAccel():
a1 = next(i for i, x in reversed(list(enumerate(accel1))) if abs(x) >1)
endTime = max(a1*dtAccel1+ 2, 0)
if EOF==0:
a2 = next(i for i, x in reversed(list(enumerate(accel2))) if abs(x) >1)
a3 = next(i for i, x in reversed(list(enumerate(accel3))) if abs(x) >1)
endTime = max(min(a1*dtAccel1,a2*dtAccel2,a3*dtAccel3) +2, 0)
return round(endTime,2)
def ASCE722Spectra():
lat = str(canvas.entry_Lat.get())
longt= str(canvas.entry_Long.get())
riskct = str(canvas.SelectedRiskCategory.get())
sitecl = str(canvas.SelectedSiteClass.get())
url = 'https://earthquake.usgs.gov/ws/designmaps/asce7-22.json?latitude='+ lat + '&longitude=' + longt\
+'&riskCategory='+ riskct +'&siteClass=' + sitecl + '&title=Example'
#print(url)
try:
response = ur.urlopen(url)
except ur.error.HTTPError as e:
if hasattr(e, 'reason'):
print('We failed to reach a server.')
print('Reason: ', e.reason)
return()
elif hasattr(e, 'code'):
print('The server couldn\'t fulfill the request.')
print('Error code: ', e.code)
return()
rdata = js.loads(response.read())
#output = 'Output for Latitude = ' + str(latitude) + ' Longitude = ' + str(longitude)
return rdata
def convertADRS(asceSpect):
multiPeriodSpectra = np.zeros((2,len(asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["periods"])))
multiPeriodSpectra[0,:] = asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["periods"]
multiPeriodSpectra[1,:] = asceSpect["response"]["data"]["multiPeriodDesignSpectrum"]["ordinates"]
if multiPeriodSpectra[0,-1] > float(canvas.entry_endPeriod.get()):
a1 =next(i for i,x in enumerate(multiPeriodSpectra[0,:]) if x >= float(canvas.entry_endPeriod.get()))+1
else:
a1 = len(multiPeriodSpectra[0,:])
mPS=np.zeros((2,a1-1))
mPS[0,:] = (1/scaleValue(unitsAccel1))*multiPeriodSpectra[1,1:a1]/np.square(2*np.pi/multiPeriodSpectra[0,1:a1])
mPS[1,:] = multiPeriodSpectra[1,1:a1]
MCEmultiPeriodSpectra = np.zeros((2,len(asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["periods"])))
MCEmultiPeriodSpectra[0,:] = asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["periods"]
MCEmultiPeriodSpectra[1,:] = asceSpect["response"]["data"]["multiPeriodMCErSpectrum"]["ordinates"]
if MCEmultiPeriodSpectra[0,-1] > float(canvas.entry_endPeriod.get()):
a1 =next(i for i,x in enumerate(MCEmultiPeriodSpectra[0,:]) if x >= float(canvas.entry_endPeriod.get()))+1
else:
a1 = len(MCEmultiPeriodSpectra[0,:])
MmPS=np.zeros((2,a1-1))
MmPS[0,:] = (1/scaleValue(unitsAccel1))*MCEmultiPeriodSpectra[1,1:a1]/np.square(2*np.pi/multiPeriodSpectra[0,1:a1])
MmPS[1,:] = MCEmultiPeriodSpectra[1,1:a1]
twopSpectra = np.zeros((2,len(asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["periods"])))
twopSpectra[0,:] = asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["periods"]
twopSpectra[1,:] = asceSpect["response"]["data"]["twoPeriodDesignSpectrum"]["ordinates"]
if twopSpectra[0,-1] > float(canvas.entry_endPeriod.get()):
a2 =next(i for i,x in enumerate(twopSpectra[0,:]) if x >= float(canvas.entry_endPeriod.get()))+1
else:
a2 = len(twopSpectra[0,:])
tPS=np.zeros((2,a2-1))
tPS[0,:] = (1/scaleValue(unitsAccel1))*twopSpectra[1,1:a2]/np.square(2*np.pi/twopSpectra[0,1:a2])
tPS[1,:] =twopSpectra[1,1:a2]
MCEtwopSpectra = np.zeros((2,len(asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["periods"])))
MCEtwopSpectra[0,:] = asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["periods"]
MCEtwopSpectra[1,:] = asceSpect["response"]["data"]["twoPeriodMCErSpectrum"]["ordinates"]
if MCEtwopSpectra[0,-1] > float(canvas.entry_endPeriod.get()):
a2 =next(i for i,x in enumerate(MCEtwopSpectra[0,:]) if x >= float(canvas.entry_endPeriod.get()))+1
else:
a2 = len(MCEtwopSpectra[0,:])
MtPS=np.zeros((2,a2-1))
MtPS[0,:] = (1/scaleValue(unitsAccel1))*MCEtwopSpectra[1,1:a2]/np.square(2*np.pi/MCEtwopSpectra[0,1:a2])
MtPS[1,:] =MCEtwopSpectra[1,1:a2]
return mPS, tPS, MmPS, MtPS
def tripartitegrids(scale,plt,ax,xl,xr):
aSeries = np.array([0.01,0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.09,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1,2,3,4,5,6,7,8,9,10,20,30,40,50,60,70,80,90,100])
dSeries = np.array([0.01,0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.09,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1,2,3,4,5,6,7,8,9,10,20,30,40,50,60,70,80,90,100])
bset= np.array([0.01,0.1,1,10,100])
bset2 = np.array([0.06,0.08,0.09,0.6,0.8,0.9,6,7,8,9,60,80,90])
periodLimit, velLimit = ax.transData.inverted().transform(ax.transAxes.transform((0.95,0.95)))
periodLimit0, velLimit0 = ax.transData.inverted().transform(ax.transAxes.transform((0.0,0.0)))
for i, items in enumerate(aSeries):
t0 =2*np.pi*velLimit0/(aSeries[i]*scale)
t1= 2*np.pi*velLimit/(aSeries[i]*scale)
t=t1;v=velLimit
m = str(aSeries[i])+ "g"
if aSeries[i] in bset:
plt.plot([t0,t],[velLimit0,velLimit], linestyle="--", color= 'k',linewidth=0.3)
if t < 0.95*xr and t > 1.05*xl:
plt.annotate(m, xy=(t,v), xytext=(t,v), fontsize=5, color= 'k')
elif aSeries[i] in bset2:
plt.plot([t0,t1],[velLimit0,velLimit], linestyle="--", color= 'c',linewidth=0.3)
else:
plt.plot([t0,t1],[velLimit0,velLimit], linestyle="--", color= 'c',linewidth=0.3)
if t < 0.95*xr and t > 1.05*xl:
plt.annotate(m, xy=(t,v), xytext=(t,v), fontsize=5, color= 'c')
for i, items in enumerate(dSeries):
t0 =2*np.pi*dSeries[i]/velLimit0
t1= 2*np.pi*dSeries[i]/velLimit
t=t0; v=velLimit0
m= str(dSeries[i])+"cm"
if dSeries[i] in bset:
plt.plot([t0,t1],[velLimit0,velLimit], linestyle="--", color= 'k',linewidth=0.3)
if t < 0.95*xr and t > 1.05*xl:
plt.annotate(m, xy=(t,v), xytext=(t,v), ha='left', va="top",fontsize=5, color= 'k')
elif dSeries[i] in bset2:
plt.plot([t0,t1],[velLimit0,velLimit], linestyle="--", color= 'm',linewidth=0.3)
else:
plt.plot([t0,t1],[velLimit0,velLimit], linestyle="--", color= 'm',linewidth=0.3)
if t < 0.95*xr and t > 1.05*xl:
plt.annotate(m, xy=(t,v), xytext=(t,v), ha='left', va="top",fontsize=5, color= 'm')
def myabout():
messagebox.showinfo('ReadASC', 'Plot and analyze instrument records of earthquakes \nRead 3 x ASC files \
\neg: xx_E.asc, xx_N.asc, xx_U.asc \nShift-select 3 files \nWritten by HXB')
def integrate(x):
global vel1,vel2,vel3,displ1,displ2,displ3
if x =="trap":
vel1 = it.cumtrapz(accel1, T1, initial=0)
vel2 = it.cumtrapz(accel2, T2, initial=0)
vel3 = it.cumtrapz(accel3, T3, initial=0)
displ1 = it.cumtrapz(vel1, T1, initial=0)
displ2 = it.cumtrapz(vel2, T2, initial=0)
displ3 = it.cumtrapz(vel3, T3, initial=0)
elif x=="simpson":
vel1 = it.simpson(accel1, T1, even='avg')
vel1 = it.simpson(accel1, T1, even='avg')
vel1 = it.simpson(accel1, T1, even='avg')
displ1 = it.simpson(vel1, T1, even='avg')
displ2 = it.simpson(vel2, T2, even='avg')
displ3 = it.simpson(vel3, T3, even='avg')
def readFile():
global filenames
global latitude, longitude
global nameCh1,nameCh2,nameCh3,dtAccel1,dtAccel2,dtAccel3,dtDispl1,dtDispl2,dtDispl3,dtAccel1,dtVel2,dtVel3
global numofPointsAccel1, numofPointsAccel2, numofPointsAccel3
global T1,T2,T3
global scaledAccel1, scaledAccel2, scaledAccel3, accel1, accel2, accel3, vel1, vel2, vel3,displ1, displ2, displ3
global EOF
global unitsAccel1, unitsAccel2, unitsAccel3, unitsVel1, unitsVel2, unitsVel3, unitsDispl1, unitsDispl2, unitsDispl3
messagebox.showinfo('ReadASC', 'Plot and analyze instrument records of earthquakes \n \
\nShift-select 3 x ASC files \neg: xx_E.asc, xx_N.asc, xx_U.asc \nWritten by HXB')
filetypes = (
('text files', '*.ASC'),
('All files', '*.*')
)
filenames = fd.askopenfilenames(
title='Open files',
initialdir='./',
filetypes=filetypes)
if len(filenames)!=3:
messagebox.showinfo('Error', '3 files not selected')
exit()
f=open(filenames[0])
#f=open("./ReadV2/ce89781.v2")
# islice (f,start, none)
for line in islice(f, 14, 15):
nameCh1=line.strip()
#print(nameCh1)
for line in islice(f,1,2):
latitude = float(line[line.find("REE:") + 5: ].strip())
for line in islice(f,0,1):
longitude = float(line[line.find("REE:") + 5: ].strip())
for line in islice(f, 1, 2):
nameCh1=nameCh1 + " " + line.strip()
#print(nameCh1)
for line in islice(f, 8, 9):
#print(line)
dtAccel1 = float(line[line.find("VAL_S:") + 6: ].strip())
#print (dtAccel1)
for line in islice(f, 0, 1):
numofPointsAccel1 = int(line[line.find("NDATA:") + 6: ].strip())
#print(numofPointsAccel1)
for line in islice(f, 1, 2):
nameCh1=nameCh1 + " " + line[line.find("STREAM:") + 7: ].strip()
#print(nameCh1)
for line in islice(f, 0, 1):
unitsAccel1 = line[line.find("UNITS:") + 6: line.find(". (")].strip()
#print(unitsAccel1)
for line in islice(f, 30, 31):
EOF =0