Prediction of failure of Composite materials using FEA and Probabilistic analysis Steps:
- Finite element analysis implementation
- Monte-Carlo stimulation by providing different sets of properties drawn from probability distribution
- Separate MCS data into training and validation sets.
- Train DL, ML models using the training set.
- Compare with the results with MCS and check if the model accuracy is closer to MCS accuracy.
For details, check the BTP Presentation file.