Oceanus Lingose To run through the list of node labels and extract the field output values for each node, use a for loop in Python. Here's an example of how to accomplish it:

# Get the field output values for each node in the list

node_labels = [1, 2, 3, 4, 5, ...] # replace with your list of node labels

step = 'xxx' # replace with the name of the step you want to retrieve the field output values from

frame = 1 # replace with the frame number you want to retrieve the field output values from

field_output = 'S' # replace with the name of the field output you want to retrieve

for node_label in node_labels:

# Find the value object for the current node label

value = odb.steps[step].frames[frame].fieldOutputs[field_output].getSubset(nodeLabel=node_label)

# Extract the mises value

mises = value.values[0].mises

print(f'Node label: {node_label}, Mises: {mises}')

This script will go through the node label list, obtaining the field output value object for each node label and extracting the mises value. The node label and mises value for each node will then be printed.

Other features of the field output value object, such as the von Mises stress, coordinates, and so on, can also be extracted.

You may also use numpy to store the values and do further computations.

import numpy as np

node_labels = [1, 2, 3, 4, 5, ...] # replace with your list of node labels

step = 'xxx' # replace with the name of the step you want to retrieve the field output values from

frame = 1 # replace with the frame number you want to retrieve the field output values from

field_output = 'S' # replace with the name of the field output you want to retrieve

mises_values = np.array([])

for node_label in node_labels:

# Find the value object for the current node label

value = odb.steps[step].frames[frame].fieldOutputs[field_output].getSubset(nodeLabel=node_label)

# Extract the mises value

mises = value.values[0].mises

mises_values = np.append(mises_values,mises)

print(f'Node label: {node_label}, Mises: {mises}')

I hope this was helpful.

Qamar Ul Islam Thanks for your answer, but it doesn't work.

TypeError: keyword error on nodeLabel

>>> prettyPrint(odb.steps['step1'].frames[1].fieldOutputs['S'])

({'baseElementTypes': 'tuple object',

'bulkDataBlocks': 'Sequence object',

'componentLabels': 'tuple object',

'description': 'Stress components',

'isComplex': OFF,

'locations': 'FieldLocationArray object',

'name': 'S',

'type': TENSOR_2D_PLANAR,

'validInvariants': 'tuple object',

'values': 'FieldValueArray object'})

>>>node_labels = [1, 2, 3, 4, 5]

>>> prettyPrint(odb.steps['step1'].frames[1].fieldOutputs['S'].getSubset(nodeLabel = node_labels[1]))

TypeError: keyword error on nodeLabel

Oceanus Lingose The error message indicates that the keyword input "nodeLabel" is not acceptable for the "FieldOutput" object's "getSubset" function. You appear to be attempting to extract a subset of the field output data for specified nodes, and it appears that the "getSubset" function lacks the "nodeLabel" input.

Check the documentation for the program you're using (Abaqus, for example) to see whether there is another method or parameter that may be used to retrieve field output data for certain nodes. You might also try extracting the whole field output data and then manually picking the data for the exact nodes that interest you.