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Projecte ofert

Títol: Exploration of Machine Learning Data-Driven Models for Aeronautical Applications

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Departament: DECA

Títol: Exploration of Machine Learning Data-Driven Models for Aeronautical Applications

Data inici oferta: 19-04-2024     Data finalització oferta: 19-12-2024

Estudis d'assignació del projecte:
Tipus: Individual
Lloc de realització: EETAC
Paraules clau:
Machine Learning, Data Driven, Non-intrusive, Reduced Order Modelling
Descripció del contingut i pla d'activitats:
The work is dedicated to investigating the potential application, for problems relevant for Aeronautical Engineering, of machine learning data-driven models also known as non-intrusive reduced order models (ROMs). These methods consist in performing the training of a machine learning model using as training data the results of a computationally expensive numerical model, for a set ofrelevant parameters. Once the training has been successful, the trained model is used to efficiently obtain approximated solutions for unseen parameters.

Objectives and Tasks

1. Familiarization with the relevant literature on Machine Learning Data-Driven Models.

2. Development of a comprehensive framework using libraries such as EZyRB,

TensorFlow, PyTorch, etc. The framework should incorporate among others, the following methodologies:

' Auto Encoders (AE)
' Radial Basis Functions (RBF)
' Proper Orthogonal Decomposition (POD)
' Gaussian Process Regresion (GPR)

3. Apply the developed framework on a set of benchmark Examples. Evaluate the performance of the framework using metrics for speedup, accuracy

and efficiency.
4. Produce a demonstrator using the developed framework and a library for visualization of numerical simulations' results (e.g. PyVista, vedo)
Orientació a l'estudiant:
Some programming skills
Requereix activitats hardware: No
Requereix activitats software: No
Horari d'atenció a estudiants per a l'assignació de projecte:

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