abaqus模态分析自动后处理输出模态振型和频率
可以使用Abapy库实现这个功能。下面是一个简单的示例代码。
首先,我们需要导入必要的库和模块。Abapy库是处理Abaqus数据的Python库。
```python
from abaqus import *
from abaqusConstants import *
from odbAccess import *
```
然后,我们需要打开ODB文件和模态分析结果集,并读取节点和模态振型。
```python
odb = openOdb(path='myODB.odb')
stepName = odb.steps.keys()[-1]
step = odb.steps[stepName]
frame = step.frames[-1]
frequency = frame.frequency
nodeSet = odb.rootAssembly.instances['myInst'].nodeSets['myNodeSet']
eigenResult = frame.fieldOutputs['EIGEN']
eigenResults = eigenResult.getSubset(region=nodeSet)
eigenVectors = eigenResults.values
```
接下来,我们将模态频率和振型写入文本文件中。
```python
filename = 'modeShapes.txt'
with open(filename, 'w') as file:
file.write('Modal frequencies (Hz):\n')
for i, freq in enumerate(frequency):
file.write('{:>3d}: {:>10.4f}\n'.format(i+1, freq))
file.write('\n')
file.write('Modal vectors:\n')
for i, vector in enumerate(eigenVectors):
file.write('Vector {:>2d}:\n'.format(i+1))
for j, displacement in enumerate(vector.data):
file.write('{:>8.4f}'.format(displacement))
if (j+1) % 6 == 0:
file.write('\n')
file.write('\n')
```
这样,我们就成功地输出了模态频率和振型。
完整的代码示例如下:
```python
from abaqus import *
from abaqusConstants import *
from odbAccess import *
odb = openOdb(path='myODB.odb')
stepName = odb.steps.keys()[-1]
step = odb.steps[stepName]
frame = step.frames[-1]
frequency = frame.frequency
nodeSet = odb.rootAssembly.instances['myInst'].nodeSets['myNodeSet']
eigenResult = frame.fieldOutputs['EIGEN']
eigenResults = eigenResult.getSubset(region=nodeSet)
eigenVectors = eigenResults.values
filename = 'modeShapes.txt'
with open(filename, 'w') as file:
file.write('Modal frequencies (Hz):\n')
for i, freq in enumerate(frequency):
file.write('{:>3d}: {:>10.4f}\n'.format(i+1, freq))
file.write('\n')
file.write('Modal vectors:\n')
for i, vector in enumerate(eigenVectors):
file.write('Vector {:>2d}:\n'.format(i+1))
for j, displacement in enumerate(vector.data):
file.write('{:>8.4f}'.format(displacement))
if (j+1) % 6 == 0:
file.write('\n')
file.write('\n')
```
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