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G2 Example 10
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from G2AnalysisSDOFNonlinearDynamic import * | |
from G2MaterialBilinear import * | |
import numpy as np | |
import matplotlib.pyplot as plt | |
# Target natural period of structure | |
structuralPeriod = 0.5 | |
# Material parameters [N, m] | |
E = 1e4 | |
alpha = 0.05 | |
# Mass [kg] | |
M = (structuralPeriod/2/np.pi)**2 * E | |
# Damping ratio | |
dampingRatio = 0.05 | |
# Calculate natural period of structure | |
naturalPeriod = 2*np.pi/np.sqrt(E/M) | |
# Print information about the structure | |
refg = 0.5 | |
Fref = M*9.81*refg | |
print('\n'"K=%.0fkN/m, M=%.2fkg, Tn=%.3fsec, F(%.1fg)=%.2fkN, u(F(%.1fg))=%.3fm" % (E/1000, M, naturalPeriod, refg, Fref/1000, refg, Fref/E)) | |
# Ground motion scaling | |
gmScaling = 1 | |
# Delta-t | |
dt = 0.02 | |
# Define DDM parameters | |
DDMparameters = [['Material', 'E'], ['Material', 'fy'], ['Material', 'alpha'], ['Mass'], ['Damping'], ['GroundMotion', 'Scaling']] | |
numBasicParameters = 6 | |
parameterNames = ['Stiffness', 'Strength', 'Hardening', 'Mass', 'Damping', 'Scaling'] | |
# Ground motion file | |
groundMotion = "GroundMotionElCentro.txt" | |
# Set the coefficient of variation | |
covSpec = 0.1 | |
# Plotting colours | |
colours = ['blue', 'red', 'green', 'orange', 'magenta', 'gray', 'cyan', 'purple', 'pink'] | |
# Yield displacement | |
uy = 0.03 | |
fy = E * uy | |
parameters = [E, fy, alpha, M, dampingRatio, gmScaling] | |
# Load and plot ground motion | |
gm = [] | |
f = open(groundMotion, "r") | |
lines = f.readlines() | |
for oneline in lines: | |
splitline = oneline.split() | |
for j in range(len(splitline)): | |
value = 9.81 * float(splitline[j]) * gmScaling | |
gm.append(value) | |
gm = np.array(gm) | |
duration = dt * (len(gm)-1) | |
plt.ion() | |
plt.figure() | |
plt.autoscale(True) | |
plt.grid(True) | |
plt.xlabel("Time [sec.]") | |
plt.ylabel("$\ddot{u}_g [m/s^2$]") | |
plt.title("Ground Motion ($\ddot{u}_{g,max}=%.2fg$)" % (np.max(np.abs(gm))/9.81)) | |
plt.plot(np.linspace(0.0, duration, len(gm)), gm, 'k-', linewidth=1.0) | |
plt.savefig('Figure1.pdf', format='pdf') | |
print('\n'"Click somewhere in the plot to continue...") | |
plt.waitforbuttonpress() | |
# Run analysis | |
material = bilinearMaterial(['Bilinear', E, fy, alpha]) | |
t, uTrack, vTrack, aTrack, dudx, dvdx, dadx, dnl = nonlinearDynamicSDOFAnalysis(duration, dt, material, M, dampingRatio, gm, gmScaling, DDMparameters) | |
# Plot displacement response | |
plt.ion() | |
plt.figure() | |
plt.autoscale(True) | |
plt.grid(True) | |
plt.xlabel("Time [sec.]") | |
plt.ylabel("u [m]") | |
plt.title("Displacement Response ($u_{max}=%.2fmm$)" % (np.max(np.abs(uTrack))*1000)) | |
for i in range(1, len(uTrack)): | |
if dnl[i] < 1: | |
plt.plot([t[i-1], t[i]], [uTrack[i-1], uTrack[i]], 'r-', linewidth=1.0) | |
else: | |
plt.plot([t[i-1], t[i]], [uTrack[i-1], uTrack[i]], 'k-', linewidth=1.0) | |
plt.savefig('Figure2.pdf', format='pdf') | |
print('\n'"Click somewhere in the plot to continue...") | |
plt.waitforbuttonpress() | |
# Plot velocity response | |
plt.ion() | |
plt.figure() | |
plt.autoscale(True) | |
plt.grid(True) | |
plt.xlabel("Time [sec.]") | |
plt.ylabel("$\dot{u}$ [m/s]") | |
plt.title("Velocity Response ($\dot{u}_{max}=%.2fm/s$)" % (np.max(np.abs(vTrack)))) | |
plt.plot(t, vTrack, 'k-', linewidth=1.0) | |
plt.savefig('Figure3.pdf', format='pdf') | |
print('\n'"Click somewhere in the plot to continue...") | |
plt.waitforbuttonpress() | |
# Plot total acceleration | |
plt.ion() | |
plt.figure() | |
plt.autoscale(True) | |
plt.grid(True) | |
plt.xlabel("Time [sec.]") | |
plt.ylabel("$\ddot{u}$ [m/s^2]") | |
plt.title("Total Acceleration ($\ddot{u}_{max}=%.2fg$)" % (np.max(np.abs(aTrack))/9.81)) | |
plt.plot(t, aTrack, 'k-', linewidth=1.0) | |
plt.savefig('Figure4.pdf', format='pdf') | |
print('\n'"Click somewhere in the plot to continue...") | |
plt.waitforbuttonpress() | |
# Plot response sensitivities as (du/dx)*sigma | |
plt.ion() | |
plt.figure() | |
for j in range(numBasicParameters): | |
theLabel = parameterNames[j] | |
if np.max(np.abs(dudx[j,:])) != 0: | |
plt.plot(t, dudx[j, :]*covSpec*parameters[j], '-', linewidth=1.0, color=colours[j], label=theLabel) | |
plt.autoscale(True) | |
plt.grid(True) | |
plt.xlabel("Time [sec.]") | |
plt.ylabel("$(\partial u / \partial x_i) \cdot \sigma_i$ ") | |
plt.title("Response Sensitivities") | |
plt.legend(loc='lower left', prop={'size': 9}) | |
print('\n'"Click somewhere in the plot to continue...") | |
plt.waitforbuttonpress() |
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