Update plot

Author: diehlpk

hard/plot-plate-hard-initial-crack.py

@@ -0,0 +1,122 @@
+import matplotlib.pyplot as plt
+import numpy as np 
+import pickle 
+import sys
+from matplotlib import rc
+from matplotlib.colors import LinearSegmentedColormap
+
+rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
+rc('text', usetex=True)
+rc('font', size=17)
+
+
+def grayscale_cmap(cmap):
+    """Return a grayscale version of the given colormap"""
+    cmap = plt.cm.get_cmap(cmap)
+    colors = cmap(np.arange(cmap.N))
+    
+    # convert RGBA to perceived grayscale luminance
+    # cf. http://alienryderflex.com/hsp.html
+    RGB_weight = [0.299, 0.587, 0.114]
+    luminance = np.sqrt(np.dot(colors[:, :3] ** 2, RGB_weight))
+    colors[:, :3] = luminance[:, np.newaxis]
+        
+    return LinearSegmentedColormap.from_list(cmap.name + "_gray", colors, cmap.N)
+    
+
+
+if __name__=="__main__": 
+
+
+    h = float(sys.argv[1])
+    delta_factor = int(sys.argv[2])
+    iter = int(sys.argv[3])
+
+    n = int(15/h) + 1
+
+
+    nodes = []
+
+
+    filehandler = open("bond-based-2d-plate-"+str(h)+"-"+str(delta_factor)+"-"+str(iter)+"-displacement-hard.npy", "rb")
+    uCurrent = np.load(filehandler, allow_pickle=True)
+
+    filehandler = open("bond-based-2d-plate-"+str(h)+"-"+str(delta_factor)+"-"+str(iter)+"-damage-hard.npy", "rb")
+    damage = np.load(filehandler, allow_pickle=True)
+
+    for i in range(0,n):
+        for j in range(0,n+2*delta_factor):
+            nodes.append([i*h,(j-delta_factor)*h])
+  
+    nodes = np.array(nodes)
+
+    #plt.figure(figsize=(20,1))
+
+    nodes_small = []
+    u_small = []
+    d_small = []
+
+    for i in range(0,len(nodes)):
+        if nodes[i][1] >=0 and nodes[i][1] <= 15:
+            
+            nodes_small.append(nodes[i])
+            u_small.append(uCurrent[i])
+            d_small.append(damage[i])
+
+    max_d = max(d_small)
+    d_pos = []
+   
+    for i in range(0,len(d_small)):
+        if d_small[i] <= 0.75 * max_d :
+            d_small[i] = 0
+        else:
+            d_pos.append(nodes[i,0]+u_small[i][0])
+
+    print(max(d_pos))
+    print(d_pos)
+
+    nodes_small = np.array(nodes_small)
+    u_small = np.array(u_small)
+    d_small = np.array(d_small)
+
+
+    #plt.quiver(nodes_small[:,0],nodes_small[:,1],u_small[:,0],u_small[:,1])
+    #plt.show()
+            
+          
+    ax = plt.gca()
+    plt.scatter(nodes_small[:,0]+u_small[:,0],nodes_small[:,1]+u_small[:,1],c=u_small[:,1],cmap=grayscale_cmap("viridis"),marker="s",s=np.sqrt(30)) 
+    #ax.xaxis.tick_top()
+    #ax.xaxis.set_label_position('top') 
+    fig = plt.gcf()
+    ax.set_facecolor('#F0F8FF')
+    plt.xlabel(r"Position $x$")
+    plt.ylabel(r"Poistion $y$")
+    #plt.ylim([-2,21])
+    #plt.xlim([0,max(nodes[:,1]+uCurrent[:,1])])
+    v = np.linspace(min(u_small[:,1]), max(u_small[:,1]), 6, endpoint=True)
+    clb = plt.colorbar(ticks=v,format='%.1e')
+    clb.set_label(r'Displacement $u_y$')
+    #plt.show()
+    plt.savefig("bond-based-2d-plate-"+str(h)+"-"+str(delta_factor)+"-"+str(iter)+"-u-y-rotated-hard.pdf",bbox_inches='tight')
+    plt.clf()
+
+    #plt.figure(figsize=(20,1)) grayscale_cmap(plt.get_cmap("viridis"))
+    plt.scatter(nodes_small[:,0],nodes_small[:,1],c=d_small,cmap=grayscale_cmap("viridis"),marker="s",s=np.sqrt(30))
+    ax = plt.gca()
+    #ax.xaxis.tick_top()
+    #ax.xaxis.set_label_position('top') 
+    fig = plt.gcf()
+    ax.set_facecolor('#F0F8FF')
+    plt.xlabel(r"Position $x$")
+    plt.ylabel(r"Poistion $y$")
+    #plt.ylim([-2,21])
+    #plt.xlim([0,max(nodes[:,1])])
+    v = np.linspace(min(d_small), max(d_small), 6, endpoint=True)
+    clb = plt.colorbar(ticks=v,format='%.1e')
+    clb.set_label(r'Damage')
+    ax.hlines(y=7.5, xmin=0, xmax=7.5, linewidth=2, color='#FF7E00')
+    plt.savefig("bond-based-2d-plate-"+str(h)+"-"+str(delta_factor)+"-"+str(iter)+"-d-rotated-hard.pdf",bbox_inches='tight')
+
+
+