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# OMFlut
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OMFlut is a framework built on top of OpenMDAO and is designed to perform flutter analysis and flutter-constrained optimization calculations. The package interfaces a structural solver, an aerodynamic solver, a transfer scheme and a flutter solution method.
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## Install and run
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If you only want to use OMFlut, you can install it using
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```bash
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python3 -m pip install . [--user]
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```
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and then run a case using
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```bash
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python3 path/to/case.py
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```
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If you need to develop in OMFlut before using it, you do not need to install anything, and you can just run your case from the repo folder using
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```bash
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python3 run.py path/to/case.py
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```
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## Use
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OMFlut being built on top of OpenMDAO, any model must derive from an OpenMDAO group. The flutter calculation is carried out in the class `FlutterGroup`, which is also OpenMDAO group. The class requires four underlying builders: structural, aerodynamic, transfer scheme and flutter computation. These builders must instantiate and initialize all the components required by each individual methodology. A template for building custom builders is provided with the code and examples of already existing builders can be found in their respective repository.
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A typical model for computing flutter will look like:
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```python
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from omflut import FlutterGroup
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import openmdao.api as om
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class MyModel(om.Group):
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def setup(self):
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s = StructuralBuilder(...)
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a = AerodynamicBuilder(...)
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x = XferBuilder(s, a, ...)
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f = FlutterBuilder(...)
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self.add_subsystem('flutter', FlutterGroup(struct=s, xfer=x, aero=a, flutter=f))
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```
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## Interfaced codes
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Structural solvers:
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- [TACS](https://github.com/acrovato/tacs)
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- OMFlut's fake structural solver (reads a modal solution from disk)
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Aerodynamic solvers:
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- [SDPM](https://gitlab.uliege.be/am-dept/sdpm) (panel method)
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Transfer schemes:
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- OMFlut's RBF (interface to scipy RBF)
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Flutter solutions:
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# OMFlut
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|
OMFlut is a framework built on top of OpenMDAO and is designed to perform flutter analysis and flutter-constrained optimization calculations. The package interfaces a structural solver, an aerodynamic solver, a transfer scheme and a flutter solution method.
|
|
|
|
|
|
|
|
## Install and run
|
|
|
|
If you only want to use OMFlut, you can install it using
|
|
|
|
```bash
|
|
|
|
python3 -m pip install . [--user]
|
|
|
|
```
|
|
|
|
and then run a case using
|
|
|
|
```bash
|
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|
python3 path/to/case.py
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|
|
```
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|
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If you need to develop in OMFlut before using it, you do not need to install anything, and you can just run your case from the repo folder using
|
|
|
|
```bash
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python3 run.py path/to/case.py
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```
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## Use
|
|
|
|
OMFlut being built on top of OpenMDAO, any model must derive from an OpenMDAO group. The flutter calculation is carried out in the class `FlutterGroup`, which is also OpenMDAO group. The class requires four underlying builders: structural, aerodynamic, transfer scheme and flutter computation. An optional geometry builder can also be provided. These builders must instantiate and initialize all the components required by each individual methodology. A template for building custom builders is provided with the code and examples of already existing builders can be found in their respective repository.
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A typical model for computing flutter will look like:
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```python
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from omflut import FlutterGroup
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import openmdao.api as om
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class MyModel(om.Group):
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def setup(self):
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g = GeometryBuilder(...) # optional
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s = StructuralBuilder(...)
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a = AerodynamicBuilder(...)
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x = XferBuilder(s, a, ...)
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f = FlutterBuilder(...)
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self.add_subsystem('flutter', FlutterGroup(struct=s, xfer=x, aero=a, flutter=f, geo=g))
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```
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## Interfaced codes
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Structural solvers:
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- [TACS](https://github.com/smdogroup/tacs) (structural solver, builder currently stored in this repo)
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- OMFlut's fake structural solver (reads a modal solution from disk)
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Aerodynamic solvers:
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- [SDPM](https://gitlab.uliege.be/am-dept/sdpm) (panel method)
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Transfer schemes:
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- OMFlut's RBF (interface to scipy RBF)
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Flutter solutions:
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- [PyPK](https://gitlab.uliege.be/am-dept/pypk) (collection of p-k methods) |
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\ No newline at end of file |
