Merge 92f4b58 into 63f9512

wisdem/floatingse/floating_frame.py

@@ -12,9 +12,6 @@
 RIGID = 1e30
 EPS = 1e-6
 
-# TODO:
-# - Added mass, hydro stiffness for tower sim
-
 
 class PlatformFrame(om.ExplicitComponent):
     def initialize(self):
@@ -104,12 +101,11 @@ def setup(self):
         self.add_output("platform_variable_capacity", np.zeros(n_member), units="m**3")
 
         self.node_mem2glob = {}
-        # self.node_glob2mem = {}
 
     def compute(self, inputs, outputs, discrete_inputs, discrete_outputs):
-        # This shouldn't change during an optimization, so save some time?
-        if len(self.node_mem2glob) == 0:
-            self.set_connectivity(inputs, outputs)
+        # Seems like we have to run this each time as numbering can change during optimization
+        self.node_mem2glob = {}
+        self.set_connectivity(inputs, outputs)
 
         self.set_node_props(inputs, outputs)
         self.set_element_props(inputs, outputs, discrete_inputs, discrete_outputs)
@@ -956,6 +952,7 @@ def compute(self, inputs, outputs):
             # Add the load case and run
             myframe.addLoadCase(load_obj)
             # myframe.write(f"{frame}.3dd")
+            # myframe.draw()
             displacements, forces, reactions, internalForces, mass, modal = myframe.run()
 
             # natural frequncies

wisdem/pyframe3dd/pyframe3dd.py

@@ -1194,6 +1194,31 @@ def write(self, fname):
         f.write("# End of input data file\n")
         f.close()
 
+    def draw(self):
+        # Visualization for debugging
+        import matplotlib.pyplot as plt
+
+        nnode = len(self.nx)
+        node_array = np.zeros((nnode, 3))
+        mynodes = {}
+        for k in range(nnode):
+            temp = np.r_[self.nx[k], self.ny[k], self.nz[k]]
+            mynodes[self.nnode[k]] = temp
+            node_array[k, :] = temp
+        myelem = []
+        for k in range(len(self.eN1)):
+            myelem.append((self.eN1[k], self.eN2[k]))
+
+        fig = plt.figure()
+        ax = fig.add_subplot(111, projection="3d")
+        for e in myelem:
+            xs = np.array([mynodes[e[0]][0], mynodes[e[1]][0]])
+            ys = np.array([mynodes[e[0]][1], mynodes[e[1]][1]])
+            zs = np.array([mynodes[e[0]][2], mynodes[e[1]][2]])
+            ax.plot(xs, ys, zs, "b-")
+        ax.plot(node_array[:, 0], node_array[:, 1], node_array[:, 2], ".k", markersize=10)
+        plt.show()
+
 
 class StaticLoadCase(object):
     """docstring"""