Engineering Surrogate Models

Aerospace Digital Twin project for optimizing aircraft stress analysis and fatigue life estimation using NASGRO models.

Technical Details: Built with Python and Jupyter Notebook, leveraging NASGRO models for fatigue life estimation.

Challenges: Implementing machine learning to predict crack growth in real-time.

Solutions: Developed a surrogate model using Design of Experiments (DoE) methodology for airframe optimization.