14.7.1. A Procedure to Render 2D or 3D OpenSees Model and Mode Shapes

  1. The source code is developed by Anurag Upadhyay from University of Utah.
  2. The source code can be downloaded here.
  3. Below is an example showing how to visualize an OpenSeesPy model.
  4. Import by writing in the model file, “from openseespy.postprocessing.Get_Rendering import * “. (see line 11 in below example)
  5. Plot the model by writing “plot_model()” after defining all the nodes and elements. (see line 115 in below example)
  6. Plot mode shapes by writing “plot_modeshape(mode_number)” after performing the eigen analysis. (see line 114 in below example)
  7. Update openseespy to the latest version to get this function.
../_images/Model_Plot3D.png ../_images/ModeShape_5_Plot3D.png
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##################################################################
## 3D frame example to show how to render opensees model and 
## plot mode shapes
##
## By - Anurag Upadhyay, PhD Candidate, University of Utah.
## Updated - 09/10/2020
##################################################################

import openseespy.postprocessing.Get_Rendering as opsplt
import openseespy.opensees as ops

import numpy as np

from math import asin, sqrt

# set some properties
ops.wipe()

ops.model('Basic', '-ndm', 3, '-ndf', 6)

# properties
# units kip, ft

numBayX = 2
numBayY = 2
numFloor = 7

bayWidthX = 120.0
bayWidthY = 120.0
storyHeights = [162.0, 162.0, 156.0, 156.0, 156.0, 156.0, 156.0, 156.0, 156.0, 156.0, 156.0]

E = 29500.0
massX = 0.49
M = 0.
coordTransf = "Linear"  # Linear, PDelta, Corotational
massType = "-lMass"  # -lMass, -cMass

nodeTag = 1

# add the nodes
#  - floor at a time
zLoc = 0.
for k in range(0, numFloor + 1):
	xLoc = 0. 
	for i in range(0, numBayX + 1):
		yLoc = 0.
		for j in range(0, numBayY + 1):
			ops.node(nodeTag, xLoc, yLoc, zLoc)
			ops.mass(nodeTag, massX, massX, 0.01, 1.0e-10, 1.0e-10, 1.0e-10)
			if k == 0:
				ops.fix(nodeTag, 1, 1, 1, 1, 1, 1)
				
			yLoc += bayWidthY
			nodeTag += 1
			
		xLoc += bayWidthX

	if k < numFloor:
		storyHeight = storyHeights[k]
	
	zLoc += storyHeight

# add column element
ops.geomTransf(coordTransf, 1, 1, 0, 0)
ops.geomTransf(coordTransf, 2, 0, 0, 1)

eleTag = 1
nodeTag1 = 1

for k in range(0, numFloor):
	for i in range(0, numBayX+1):
		for j in range(0, numBayY+1):
			nodeTag2 = nodeTag1 + (numBayX+1)*(numBayY+1)
			iNode = ops.nodeCoord(nodeTag1)
			jNode = ops.nodeCoord(nodeTag2)
			ops.element('elasticBeamColumn', eleTag, nodeTag1, nodeTag2, 50., E, 1000., 1000., 2150., 2150., 1, '-mass', M, massType)
			eleTag += 1
			nodeTag1 += 1


nodeTag1 = 1+ (numBayX+1)*(numBayY+1)
#add beam elements
for j in range(1, numFloor + 1):
	for i in range(0, numBayX):
		for k in range(0, numBayY+1):
			nodeTag2 = nodeTag1 + (numBayY+1)
			iNode = ops.nodeCoord(nodeTag1)
			jNode = ops.nodeCoord(nodeTag2)
			ops.element('elasticBeamColumn', eleTag, nodeTag1, nodeTag2, 50., E, 1000., 1000., 2150., 2150., 2, '-mass', M, massType)
			eleTag += 1
			nodeTag1 += 1
		
	nodeTag1 += (numBayY+1)

nodeTag1 = 1+ (numBayX+1)*(numBayY+1)
#add beam elements
for j in range(1, numFloor + 1):
	for i in range(0, numBayY+1):
		for k in range(0, numBayX):
			nodeTag2 = nodeTag1 + 1
			iNode = ops.nodeCoord(nodeTag1)
			jNode = ops.nodeCoord(nodeTag2)
			ops.element('elasticBeamColumn', eleTag, nodeTag1, nodeTag2, 50., E, 1000., 1000., 2150., 2150., 2, '-mass', M, massType)
			eleTag += 1
			nodeTag1 += 1
		nodeTag1 += 1

# calculate eigenvalues & print results
numEigen = 7
eigenValues = ops.eigen(numEigen)
PI = 2 * asin(1.0)

###################################
#### Display the active model with node tags only
opsplt.plot_model("nodes")

####  Display specific mode shape with scale factor of 300 using the active model
opsplt.plot_modeshape(5, 300)

###################################
# To save the analysis output for deformed shape, use createODB command before running the analysis
# The following command saves the model data, and output for gravity analysis and the first 3 modes 
# in a folder "3DFrame_ODB"

opsplt.createODB("3DFrame", "Gravity", Nmodes=3)


# Define Static Analysis
ops.timeSeries('Linear', 1)
ops.pattern('Plain', 1, 1)
ops.load(72, 1, 0, 0, 0, 0, 0)
ops.analysis('Static')

# Run Analysis
ops.analyze(10)

# IMPORTANT: Make sure to issue a wipe() command to close all the recorders. Not issuing a wipe() command
# ... can cause errors in the plot_deformedshape() command.

ops.wipe()

####################################
### Now plot mode shape 2 with scale factor of 300 and the deformed shape using the recorded output data

opsplt.plot_modeshape(2, 300, Model="3DFrame")
opsplt.plot_deformedshape(Model="3DFrame", LoadCase="Gravity")