Ofertes treballs fi d'estudis
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Director/a: Lopez Carreño, Ruben-daniel
Email del professor/a: ruben.daniel.lopez@upc.edu
Departament del professor/a: 758-EPC
- 2010 - GRAU EN ENGINYERIA EN TECNOLOGIES AEROESPACIALS
- 2010 - GRAU EN ENGINYERIA EN TECNOLOGIES INDUSTRIALS
- 2010 - GRAU EN ENGINYERIA EN VEHICLES AEROESPACIALS
- 2014 - MÀSTER UNIVERSITARI EN ENGINYERIA AERONÀUTICA
- 2021 - MÀSTER UNIVERSITARI EN RECERCA EN ENGINYERIA MECÀNICA
Identificador de l'oferta: 205-05038
Modalitat: Universitat
Possibilitat de beca/finançament: No
- Català
- Espanyol
- Anglès
Paraules clau:
PROGRAMACIÓ CFD INTEL.LIGÈNCIA ARTIFICALDescripció:
The integration of physics-based principles with machine learning techniques is a new and promising approach to modeling airflow patterns and indoor air quality. This hybrid approach has significant potential to improve the accuracy and efficiency of Computational Fluid Dynamics (CFD) predictive models, which play a key role in designing healthier indoor environments. However, due to its novelty and the constantly evolving nature of machine learning algorithms, there is still a lack of widespread application of physics-informed machine learning (PIML) techniques. The objective of this study is to analyse the current state of PIML, its potential for airflow and air quality modeling, and to develop and test a PIML algorithm for a real case study.
Objectius:
The aim of this work is to analyse the potential of existing physics-informed machine learning (PIML) techniques for CFD modeling and to develop a PIML algorithm to predict airflow and air quality, which will be assessed in a real case study.
Tasques a realitzar / Característiques:
1. Literature review and information gathering: Information will be collected on PIML techniques and traditional airflow and air quality modelling. 2. Acquire a fundamental understanding of PIML and its differences compared to traditional modelling. 3. Develop and code a PIML algorithm to solve an airflow and air quality problem using MATLAB, Python or similar programming languages. 4. Selection of a real problem of airflow and air quality to study the PIML and traditional modelling approaches. 5. Adapt the PIML algorithm to the real case and perform simulations. 6. Perform simulations using traditional approaches, such as CFDs, for the same real case. 7. Comparative analysis of the performance of PIML and traditional approaches. 8. Preparation of the corresponding documents for the Master's Thesis (TFM).
Tema: ENGINYERIA AERONÀUTICA
Tipus: Estudi
Càrrega de treball:
The workload will depend on the Bachelor or Master degree the student is enrolled in.
Requisits:
Knowledge of CFD modelling and programming with MATLAB or Python
Temàtica ambiental: No
Confidencial (informatiu): No
Ambit de cooperació: No
Publicació: 27/06/2024
Caducitat: 28/05/2025
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