import matplotlib
if not hasattr(matplotlib.RcParams, "_get"):
    matplotlib.RcParams._get = dict.get

Displacement#

Click –> Live Code on the top right corner of this screen to investigate some influence lines!

figuur 1

import micropip
await micropip.install("ipympl")
import numpy as np
import sympy as sym
import matplotlib.pylab as plt
from ipywidgets import widgets, interact
from matplotlib.patches import Arc,StepPatch

%matplotlib inline
EI, x = sym.symbols('EI, x',real=True)
Av, Bv = sym.symbols('Av, Bv',real=True)
a, L= sym.symbols('a, L ',positive=True,real=True)
C1, C2, C3, C4 = sym.symbols('C1, C2, C3, C4')
q = -Bv * sym.SingularityFunction(x,L,-1) - Av * sym.SingularityFunction(x,0,-1) + 1 * sym.SingularityFunction(x,a,-1)
V = -sym.integrate(q,x)+C1
M = sym.integrate(V,x)+C2
kappa = M / EI
phi = sym.integrate(kappa,x)+C3
w = - sym.integrate(phi,x)+C4
eq1 = sym.Eq(w.subs(x,0),0)
eq2 = sym.Eq(w.subs(x,L),0)
eq3 = sym.Eq(M.subs(x,0),0)
eq4 = sym.Eq(M.subs(x,L),0)
eq5 = sym.Eq(V.subs(x,-1),0)
eq6 = sym.Eq(V.subs(x,L+1),0)
sol = sym.solve([eq1,eq2,eq3,eq4,eq5,eq6],[C1,C2,C3,C4,Av,Bv])
V_sol = V.subs(sol)
V_subs = V_sol.subs([(L,5),(a,2),(EI,5000)])
V_numpy = sym.lambdify([L,a,EI,x],V_sol.rewrite(sym.Piecewise))
M_sol = M.subs(sol)
M_subs = M_sol.subs([(L,5),(a,2),(EI,5000)])
M_numpy = sym.lambdify([L,a,EI,x],M_sol.rewrite(sym.Piecewise))
Av_sol = sol[Av].rewrite(sym.Piecewise)
Av_numpy = sym.lambdify([L,a,EI],Av_sol)
Bv_sol = sol[Bv].rewrite(sym.Piecewise)
Bv_numpy = sym.lambdify([L,a,EI],Bv_sol)

Find displacement \(w\)#

q = -Bv * sym.SingularityFunction(x,L,-1) - Av * sym.SingularityFunction(x,0,-1) + 1 * sym.SingularityFunction(x,a,-1)
V = -sym.integrate(q,x)+C1
M = sym.integrate(V,x)+C2
kappa = M / EI
phi = sym.integrate(kappa,x)+C3
w = -sym.integrate(phi,x)+C4
eq1 = sym.Eq(w.subs(x,0),0)
eq2 = sym.Eq(w.subs(x,L),0)
eq3 = sym.Eq(M.subs(x,0),0)
eq4 = sym.Eq(M.subs(x,L),0)
eq5 = sym.Eq(V.subs(x,-1),0)
eq6 = sym.Eq(V.subs(x,L+1),0)
sol = sym.solve([eq1,eq2,eq3,eq4,eq5,eq6],[C1,C2,C3,C4,Av,Bv])
w_sol = w.subs(sol)
w_subs = w_sol.subs([(L,5),(a,2),(EI,5000)])
w_numpy = sym.lambdify([L,a,EI,x],w_sol.rewrite(sym.Piecewise))
phi_sol = phi.subs(sol)
phi_subs = phi_sol.subs([(L,5),(a,2),(EI,5000)])
phi_numpy = sym.lambdify([L,a,EI,x],phi_sol.rewrite(sym.Piecewise))

display(sym.simplify(w_subs.rewrite(sym.Piecewise)))
plt.figure()
x_plot = np.linspace(0,5,100)
plt.plot([0,5],[0,0],color='black',linewidth=2)
plt.plot(x_plot,w_numpy(L=5,a=2,EI=5000,x=x_plot),color="blue")
plt.xlabel('$x$')
plt.ylabel('displacement')
axs = plt.gca()
axs.grid()
axs.invert_yaxis()
axs.spines['right'].set_color('none')
axs.spines['top'].set_color('none')
axs.spines['bottom'].set_position('zero')
axs.spines['left'].set_position('zero')
title0 = 'Displacement for force at $x_F =  2 $'
axs.set_title(title0);
plt.show()
\[\begin{split}\displaystyle \begin{cases} \frac{7 \cdot \left(5 - x\right)}{25000} & \text{for}\: x > 5 \\\frac{x^{3} - 15 x^{2} + 54 x - 20}{75000} & \text{for}\: x > 2 \\\frac{x \left(16 - x^{2}\right)}{50000} & \text{for}\: x > 0 \\\frac{x}{3125} & \text{otherwise} \end{cases}\end{split}\]
../../_images/d1bcf8ea17a68bf645fd6a34e56d34d10be69a3fb0c6dbfaf1686e6ba62027c0.png

Find influence line \(w\)#

display(sym.simplify(w_subs.rewrite(sym.Piecewise)))
x_plot = np.linspace(0,5,100)
plt.figure()
plt.plot([0,5],[0,0],color='black',linewidth=2)
plt.plot(x_plot,w_numpy(L=5,a=2,EI=5000,x=x_plot),color="blue")
plt.xlabel('$x_F$')
plt.ylabel('Influence factor displacement')
axs = plt.gca()
axs.grid()
axs.invert_yaxis()
title0 = 'Influence line for displacement at $x_w =  2 $'
axs.set_title(title0);
axs.spines['right'].set_color('none')
axs.spines['top'].set_color('none')
axs.spines['bottom'].set_position('zero')
axs.spines['left'].set_position('zero')
plt.show()
\[\begin{split}\displaystyle \begin{cases} \frac{7 \cdot \left(5 - x\right)}{25000} & \text{for}\: x > 5 \\\frac{x^{3} - 15 x^{2} + 54 x - 20}{75000} & \text{for}\: x > 2 \\\frac{x \left(16 - x^{2}\right)}{50000} & \text{for}\: x > 0 \\\frac{x}{3125} & \text{otherwise} \end{cases}\end{split}\]
../../_images/93f149472de8f425f4b17b1431548a2d0f587a709000fb6f33f5265d7bda2734.png

Comparison displacement and influence line for displacement at \(x = ...\)#

%matplotlib widget
from matplotlib.patches import Polygon

x = np.linspace(0,5.0001,100)
fig = plt.figure(figsize=(12, 6))
fig.canvas.toolbar_visible = False

gs = fig.add_gridspec(2,2)
axs0 = fig.add_subplot(gs[0, 1])
axs1 = fig.add_subplot(gs[0, 0])
axs2 = fig.add_subplot(gs[1, 0])
axs3 = fig.add_subplot(gs[1, 1])
def func(a,b):
    axs0.clear()
    axs1.clear()  # Clear the existing plot
    axs2.clear()
    axs3.clear()
    
    axs0.plot([0,5],[0,0],color='black',linewidth=2)
    L_i = 0
    y = np.array([[-1/6+L_i,1/4], [L_i,0], [1/6+L_i,1/4]])
    p = Polygon(y, facecolor = '#00CC99',edgecolor='black')
    axs0.plot([-0.25+L_i,0.25+L_i],[0.25,0.25],color='black')
    axs0.add_patch(p)
    L_i = 5
    y = np.array([[-1/6+L_i,1/4], [L_i,0], [1/6+L_i,1/4]])
    p = Polygon(y, facecolor = '#00CC99',edgecolor='black')
    axs0.plot([-0.25+L_i,0.25+L_i],[0.25,0.25],color='black')
    axs0.plot([-0.25+L_i,0.25+L_i],[0.3,0.3],color='black')
    axs0.add_patch(p)
    axs0.annotate('1 kN',xy = [b+0.1,-1],ha='left',va='top')
    
    axs0.annotate(text='', xy=(b,0), xytext=(b,-1), arrowprops=dict(arrowstyle='simple'))
    axs0.set_ylim([-1,1])
    axs0.set_aspect('equal')
    axs0.invert_yaxis()
    axs0.axis('off')

    axs3.plot([0,5],[0,0],color='black',linewidth=2)
    L_i = 0
    y = np.array([[-1/6+L_i,1/4], [L_i,0], [1/6+L_i,1/4]])
    p = Polygon(y, facecolor = '#00CC99',edgecolor='black')
    axs3.plot([-0.25+L_i,0.25+L_i],[0.25,0.25],color='black')
    axs3.add_patch(p)
    L_i = 5
    y = np.array([[-1/6+L_i,1/4], [L_i,0], [1/6+L_i,1/4]])
    p = Polygon(y, facecolor = '#00CC99',edgecolor='black')
    axs3.plot([-0.25+L_i,0.25+L_i],[0.25,0.25],color='black')
    axs3.plot([-0.25+L_i,0.25+L_i],[0.3,0.3],color='black')
    axs3.add_patch(p)
    axs3.annotate('1 kN',xy = [a+0.1,-1],ha='left',va='top')
    
    axs3.annotate(text='', xy=(a,0), xytext=(a,-1), arrowprops=dict(arrowstyle='simple'))
    axs3.set_ylim([-1,1])
    axs3.set_aspect('equal')
    axs3.invert_yaxis()
    axs3.axis('off')

    axs1.plot([0,5],[0,0],color='black',linewidth=2)
    axs1.grid()
    axs1.plot(x,w_numpy(5,b,5000,x),color='blue')
    axs1.plot(a,w_numpy(5,b,5000,a),marker='o')
    axs1.annotate('%.2f mm' % np.round(w_numpy(5,b,5000,a)*1000,2),xy = [a,w_numpy(5,b,5000,a)-0.00005])
    #axs1.annotate(text='', xy=(b,0), xytext=(b,-0.0001), arrowprops=dict(arrowstyle='simple'))
    axs1.set_ylim([-0.00005,0.0006])
    axs1.invert_yaxis()
    title0 = 'Displacement for force at at $x_F = '+str(b)+'$, showing displacement at $x_w = '+str(a)+'$'
    axs1.set_title(title0)
    axs2.plot([0,5],[0,0],color='black',linewidth=2)
    axs2.grid()
    axs2.plot(x,w_numpy(5,a,5000,x),color='blue')
    axs2.plot(b,w_numpy(5,a,5000,b),marker='o')
    axs2.annotate('%.2f mm' % np.round(w_numpy(5,a,5000,b)*1000,2),xy = [b,w_numpy(5,a,5000,b)-0.00005])
    axs2.set_ylim([-0.00005,0.0006])
    axs2.invert_yaxis()
    title1 = 'Influence line for displacement at $x_w = '+str(a)+'$'
    axs2.set_title(title1)

    axs1.spines['right'].set_color('none')
    axs1.spines['top'].set_color('none')
    axs1.spines['bottom'].set_position('zero')
    axs1.spines['left'].set_position('zero')
    axs2.spines['right'].set_color('none')
    axs2.spines['top'].set_color('none')
    axs2.spines['bottom'].set_position('zero')
    axs2.spines['left'].set_position('zero')
    plt.draw()  

    
interact(func, a = widgets.FloatSlider(min=0, max=5, value=2, step=0.1, description="Location displacement x_w = ... (m)",readout_format='.1f',style= {'description_width': '250px'},layout = {'width': '500px'}),
         b = widgets.FloatSlider(min=0, max=5, value=2, step=0.1, description="Location force x_F = ... (m)",readout_format='.1f',style= {'description_width': '250px'},layout = {'width': '500px'}) );