dynaROM is able to learn the response of a 3D/4D simulation solver:
Even when the available data is limited to a few observations, dynaROM is still able to learn the output of the 3D/4D solver for these observations:
This validates the application of dynaROM to measured data:
The model created by dynaROM from measured data is potentially the restriction of a 3D/4D model to measured quantities.
dynaROM is even better than a 3D/4D model, since the latter has to be calibrated.
dynaROM has been validated on more than 100 test cases
1) Aorta test case
The dynaROM™ product allows one to reproduce simulations of arterial systems.
The average velocity is imposed at the inlet of the aorta. The velocity profile in blue was used to build the dynaROM™ model. The velocity profile in red was used for prediction.
One can see a good agreement between dynaROM™ predictions and the results obtained by Fluent computations.
2) Solid/fluid test case
We consider a coupled solid/fluid case. A flow at given velocity and temperature profile is injected in a cavity. A heated solid bar is fixed in the middle of this cavity. The flow temperature is changing with time. The geometry and mesh are given in the next figure.
The data of a simulation corresponding to the “tri” profile (in red in the figure below) was used by dynaROM™ to generate a dynamic reduced order model. Then the model can predict the flow evolution for three other temperature profiles: square, sqtri, sinus, defined in the following figure.
The results of these simulations are compared to the reference ones in the following videos. Only the temperature part of the field is presented.
- “Sinus” profile
- Sqtri profile
- Square profile
3) Piquage test case
The geometry of the test case is given below.
The dynamical reduced order model is applied to two configurations:
- First configuration
- Second configuration
4) Thermal building
Thanks to its breakthrough technology, ADAGOS is participating in the European CEN/TC89/WG13 and in the international ISO/TC163/SC1/WG16-ISO9869 standardization committees.
In this example, the internal temperature is simulated from the power consumption and some meteorological information.