Simultaneous multidirectional loading
Moderators: silvia, selimgunay, Moderators
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- Posts: 9
- Joined: Tue Jun 13, 2023 4:15 am
Simultaneous multidirectional loading
Hi All,
Does anyone have experience of applying simultaneous multidirectional loads in a transient analysis to a structure in Opensees?
I would like to apply loading at 3 points onto the structure, and have time series for the x,y, and z component of the loads.
To do this I am using the below in my script, these seem to be ok if you print the model (see print out below the script), but I want to check if all these load patterns are actually being applied simultaneously, or it is just the last load pattern before the analysis call that is actually applied.
Many thanks if you have tried this or similar / have any suggestions.
# Time series
ops.timeSeries('Path', 1000, '-values','-time', '-filePath', 'T1_x_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 2000, '-values','-time', '-filePath', 'T1_y_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 3000, '-values','-time', '-filePath', 'T1_z_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 4000, '-values','-time', '-filePath', 'T2_x_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 5000, '-values','-time', '-filePath', 'T2_y_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 6000, '-values','-time', '-filePath', 'T2_z_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 7000, '-values','-time', '-filePath', 'T3_x_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 8000, '-values','-time', '-filePath', 'T3_y_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 9000, '-values','-time', '-filePath', 'T3_z_Int_001.txt', '-fileTime', 'time_0.001.txt')
#T1
ops.pattern('Plain', 1, 1000)
ops.load(31755, 1.0, 0.0, 0.0) # Load in X direction
ops.pattern('Plain', 2, 2000)
ops.load(31755, 0.0, 1.0, 0.0) # Load in Y direction
ops.pattern('Plain', 3, 3000)
ops.load(31755, 0.0, 0.0, 1.0) # Load in Z direction
#T2
ops.pattern('Plain', 4, 4000)
ops.load(32045, 1.0, 0.0, 0.0) # Load in X direction
ops.pattern('Plain', 5, 5000)
ops.load(32045, 0.0, 1.0, 0.0) # Load in Y direction
ops.pattern('Plain', 6, 6000)
ops.load(32045, 0.0, 0.0, 1.0) # Load in Z direction
#T3
ops.pattern('Plain', 7, 7000)
ops.load(31947, 1.0, 0.0, 0.0) # Load in X direction
ops.pattern('Plain', 8, 8000)
ops.load(31947, 0.0, 1.0, 0.0) # Load in Y direction
ops.pattern('Plain', 9, 9000)
ops.load(31947, 0.0, 0.0, 1.0) # Load in Z direction
ops.analyze(10000, 0.001)
Model print out:
LOAD PATTERNS: numPatterns: 9
numComponents: 9
Load Pattern: 1
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31755 load : 1 0 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 2
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31755 load : 0 1 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 3
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31755 load : 0 0 1
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 4
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 32045 load : 1 0 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 5
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 32045 load : 0 1 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 6
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 32045 load : 0 0 1
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 7
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31947 load : 1 0 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 8
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31947 load : 0 1 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 9
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31947 load : 0 0 1
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
PARAMETERS: numParameters: 0
numComponents: 0
Does anyone have experience of applying simultaneous multidirectional loads in a transient analysis to a structure in Opensees?
I would like to apply loading at 3 points onto the structure, and have time series for the x,y, and z component of the loads.
To do this I am using the below in my script, these seem to be ok if you print the model (see print out below the script), but I want to check if all these load patterns are actually being applied simultaneously, or it is just the last load pattern before the analysis call that is actually applied.
Many thanks if you have tried this or similar / have any suggestions.
# Time series
ops.timeSeries('Path', 1000, '-values','-time', '-filePath', 'T1_x_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 2000, '-values','-time', '-filePath', 'T1_y_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 3000, '-values','-time', '-filePath', 'T1_z_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 4000, '-values','-time', '-filePath', 'T2_x_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 5000, '-values','-time', '-filePath', 'T2_y_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 6000, '-values','-time', '-filePath', 'T2_z_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 7000, '-values','-time', '-filePath', 'T3_x_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 8000, '-values','-time', '-filePath', 'T3_y_Int_001.txt', '-fileTime', 'time_0.001.txt')
ops.timeSeries('Path', 9000, '-values','-time', '-filePath', 'T3_z_Int_001.txt', '-fileTime', 'time_0.001.txt')
#T1
ops.pattern('Plain', 1, 1000)
ops.load(31755, 1.0, 0.0, 0.0) # Load in X direction
ops.pattern('Plain', 2, 2000)
ops.load(31755, 0.0, 1.0, 0.0) # Load in Y direction
ops.pattern('Plain', 3, 3000)
ops.load(31755, 0.0, 0.0, 1.0) # Load in Z direction
#T2
ops.pattern('Plain', 4, 4000)
ops.load(32045, 1.0, 0.0, 0.0) # Load in X direction
ops.pattern('Plain', 5, 5000)
ops.load(32045, 0.0, 1.0, 0.0) # Load in Y direction
ops.pattern('Plain', 6, 6000)
ops.load(32045, 0.0, 0.0, 1.0) # Load in Z direction
#T3
ops.pattern('Plain', 7, 7000)
ops.load(31947, 1.0, 0.0, 0.0) # Load in X direction
ops.pattern('Plain', 8, 8000)
ops.load(31947, 0.0, 1.0, 0.0) # Load in Y direction
ops.pattern('Plain', 9, 9000)
ops.load(31947, 0.0, 0.0, 1.0) # Load in Z direction
ops.analyze(10000, 0.001)
Model print out:
LOAD PATTERNS: numPatterns: 9
numComponents: 9
Load Pattern: 1
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31755 load : 1 0 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 2
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31755 load : 0 1 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 3
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31755 load : 0 0 1
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 4
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 32045 load : 1 0 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 5
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 32045 load : 0 1 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 6
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 32045 load : 0 0 1
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 7
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31947 load : 1 0 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 8
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31947 load : 0 1 0
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
Load Pattern: 9
Scale Factor: 1
Path Time Series: constant factor: 1 Nodal Loads:
numComponents: 1
Nodal Load: 31947 load : 0 0 1
Elemental Loads:
numComponents: 0
Single Point Constraints:
numComponents: 0
PARAMETERS: numParameters: 0
numComponents: 0
-
- Posts: 9
- Joined: Tue Jun 13, 2023 4:15 am
Re: Simultaneous multidirectional loading
Great - thankyou!!!
Re: Simultaneous multidirectional loading
If you have doubts, perform simple analyses and check reactions and other easily verifiable responses.
-
- Posts: 9
- Joined: Tue Jun 13, 2023 4:15 am
Re: Simultaneous multidirectional loading
Yes I had tried each line separately and in combination to check the node reactions. There is a large increase in reaction on application of the load, which then dissipates, I guess as the structure reacts and displaces. But in a simpler model, the affect would be much clearer. Many thanks again for your response!
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- Posts: 3
- Joined: Mon Jan 08, 2024 11:35 pm
Re: Simultaneous multidirectional loading
That's great! space bar clicker