pass
else:
test_id.append([words[1], float(words[2]), words[0]])
gms.close()
#adjust ruaumoko input file based on ground motion
##################################################
for i in range(len(test_id)):
test_ID = test_id[i][0]+'_'+str(int(test_id[i][1]*100))
if ground_motions == 'orig': # run original EQ file
earthquake = cH.calleqdata(test_id[i][0])
acceleration = earthquake['Data']*earthquake['Scale_Factor']*test_id[i][1] # g
NPTS = earthquake['NPTS']
DT = earthquake['DT']
elif ground_motions == 'recD':
DT = 0.005
channel = cH.calltestdata(frame_type, test_ID)
disp = CompareRecords(channel['Table_displacement']/1000, channel['Table_displacement']/1000, DT, DT)
disp.Remove_average()
disp.Butter_pass([0.1, 20])
displacement = disp.motions[0]
int_vel = np.zeros(len(displacement))
int_vel[0] = 0.0
int_accel = np.zeros(len(displacement))
int_accel[0] = 0.0
for k in range(len(displacement)-1):
int_vel[k+1] = (displacement[k+1]-displacement[k])/DT
int_accel[k+1] = (int_vel[k+1]-int_vel[k])/DT/9.81
acceleration = int_accel
NPTS = len(acceleration)
elif ground_motions == 'pushover':
acceleration = np.array([0.0, 0.1, 0.1])
spectra = {'EQ':"Spectra"}
EQlist = []
# save_data = open(filelocation+'/floor_analysis/'+frame_type+'.txt', 'w')
for mag in range(len(test_sequence)):
print test_sequence[mag][0], float(test_sequence[mag][2])
if 'white' in test_sequence[mag][0]:
pass
elif 'sine' in test_sequence[mag][0]:
pass
elif 'fv' in test_sequence[mag][0]:
pass
else:
record = test_sequence[mag][1]+'_'+str(int(float(test_sequence[mag][2])*100))
EQlist.append([test_sequence[mag][1], float(test_sequence[mag][2])])
channel = cH.calltestdata(frame_type, record)
# peak floor acceleration
# accF = CompareRecords(channel['Accel_Bottom_floor_pair']*9.81, channel['Accel_Top_floor_pair']*9.81, DT, DT)
# accF.Remove_average()
# accF.Butter_pass(BP)
# A1 = max(abs(accF.motions[0]))/9.81
# A2 = max(abs(accF.motions[1]))/9.81
#beam acceleration spectra
accb = CompareRecords(channel['Accel_Bottom_beam_pair']*9.81, channel['Accel_Top_beam_pair']*9.81, DT, DT)
accb.Remove_average()
accb.Butter_pass(BP)
[pSA, pSD, pSA2, pSD2, Tt] = accb.ResponseSpectrum()
spectra[record] = [pSA, pSA2, test_sequence[mag][1]]
import matplotlib.pyplot as plt
import numpy as np
import call_HDF as cH
import scipy.signal as sp
Channel = cH.calltestdata('Hyb_UFP', 'white_noise_25')
acc = Channel['Accel_Top_beam_pair']*9.81
win = np.arange(0,30, 0.05)
[f, Pxx] = sp.welch(acc, fs=200, window=win)
for i in Pxx:
print i
Pmax = max(Pxx)
middle = Pxx.argmax()
a = max(Pxx)/np.sqrt(2)
f1 = f[0:middle+1]
Pxx1 = Pxx[0:middle+1]
f2 = f[middle:-1]
Pxx2 = Pxx[middle:-1]
b1 = np.interp(a, Pxx1, f1)
b2 = np.interp(-a, -Pxx2, f2)
# print f[middle]
# print a, b1, b2
zi = np.round((b2-b1)/(2*f[middle])*100,2)
print 'zi = ',zi, ' %'
Magnitude = float(words[2])
test_id.append([record_name, Magnitude])
gms.close()
###################################################################################
# call test data
Earthquake = {'Earthquake':'Channel'}
for i in frame_type:
test_ID = test_id[frame_type.index(i)][0]+'_'+str(int(test_id[frame_type.index(i)][1]*100))
Magnitude = test_id[frame_type.index(i)][1]
try:
table_acceleration = np.loadtxt(filelocation+'table_acceleration/'+i+'/'+test_name+'.txt')*-1
except:
table_acceleration = np.array([0, 0, 0])
channel = cH.calltestdata(i, test_ID)
channel['Time'] = np.arange(0, len(channel['Load_Cell_Lower_S'])*DT, DT)
channel['Time_ta'] = np.arange(2.035, len(table_acceleration)*DT_ta+2.035, DT_ta)
channel['Table_acceleration'] = np.interp(channel['Time'], channel['Time_ta'], table_acceleration)
Earthquake[i] = channel
# design spectra
[T, dSA, dSD, eta]=design_spectra()
#####################################################################################
# Figure stuff
fontsize = 8
rcParams['axes.labelsize'] = fontsize
rcParams['xtick.labelsize'] = fontsize
rcParams['ytick.labelsize'] = fontsize
