r[2] += force * (b[2] - a[2]) / length
return r
# clear the Rhino model
compas_rhino.clear()
# create a network
# with 5 nodes and 4 edges
network = Network()
network.update_dna(is_anchor=False)
network.update_dna(rx=0, ry=0, rz=0)
network.update_dea(f=1)
a = network.add_node(x=0, y=0, z=0, is_anchor=True)
b = network.add_node(x=10, y=0, z=10, is_anchor=True)
c = network.add_node(x=10, y=10, z=0, is_anchor=True)
d = network.add_node(x=0, y=10, z=10, is_anchor=True)
e = network.add_node(x=5, y=5, z=0)
network.add_edge(a, e)
network.add_edge(b, e)
network.add_edge(c, e)
network.add_edge(d, e)
# compute all residuals in the current geometry
network.edge_attribute(edge, 'q', Q[index])
network.edge_attribute(edge, 'f', F[index])
# clear the Rhino model
compas_rhino.clear()
# create a network
network = Network()
network.update_dna(is_anchor=False)
network.update_dna(rx=0, ry=0, rz=0)
network.update_dna(px=0, py=0, pz=0)
network.update_dea(f=0, q=1)
a = network.add_node(x=0, y=0, z=0, is_anchor=True)
b = network.add_node(x=10, y=0, z=10, is_anchor=True)
c = network.add_node(x=10, y=10, z=0, is_anchor=True)
d = network.add_node(x=0, y=10, z=10, is_anchor=True)
e = network.add_node(x=5, y=5, z=0)
network.add_edge(a, e, q=random.randint(1, 10))
network.add_edge(b, e, q=random.randint(1, 10))
network.add_edge(c, e, q=random.randint(1, 10))
network.add_edge(d, e, q=random.randint(1, 10))
# numerical data
compas_rhino.rs.Redraw()
compas_rhino.wait()
# clear the Rhino model
compas_rhino.clear()
# create a network
network = Network()
network.update_dna(is_anchor=False)
network.update_dna(rx=0, ry=0, rz=0)
network.update_dna(px=0, py=0, pz=0)
network.update_dea(q=1)
a = network.add_node(x=0, y=0, z=0, is_anchor=True)
b = network.add_node(x=10, y=0, z=10, is_anchor=True)
c = network.add_node(x=10, y=10, z=0, is_anchor=True)
d = network.add_node(x=0, y=10, z=10, is_anchor=True)
e = network.add_node(x=5, y=5, z=0)
network.add_edge(a, e, q=2)
network.add_edge(b, e, q=5)
network.add_edge(c, e, q=3)
network.add_edge(d, e)
# numerical data