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Development of a neural network for Critical Heat Flux predictions

estero Tesi all'estero


Gruppi di ricerca Nemo

Descrizione - Title of the research
Development of a neural network for Critical Heat Flux predictions
(duration: around 8 months, starting period: February-April 2023)

- Context of the research
The Critical Heat Flux (CHF) is a physical phenomenon that may cause the deterioration of the heat transfer in the core of nuclear reactors, potentially leading to core damage. Its accurate prediction is therefore a crucial issue in nuclear reactor safety.

- Objectives of the research
The proposed internship concerns the development of a neural network to predict the occurrence of the CHF. It will be realized in preparation of an international OECD/NEA project on the development and application of Artificial Intelligence methodologies for nuclear engineering.

- Work phases
Within this framework, the intern will:
*Perform a preliminary literature review on artificial intelligence methodologies.
*Analyze the available experimental CHF database to understand the physical phenomenon and to verify the coherence and exploitability of the experimental data.
*Test the existing CHF correlations and the prediction on the selected database of the thermal-hydraulic code CATHARE, the reference code for the safety analysis of French nuclear reactors.
*Develop a neural network to predict as accurately as possible the CHF. Different approaches (e.g. different split in training and validation database, number of neurons) will be tested to determine the optimal solution.
*Compare the performance of the newly developed neural networks against the existing models and identify the advantage/disadvantages associated to the usage of artificial intelligence.
*Present and discuss his/her work during technical meetings and write a final report.

- Internship/company description
The internship work will be conducted at the Department of Thermal-hydraulics and Fluid dynamics (STMF – Service de Thermohydraulique et de Mécanique de Fluide) within the Energy Division (DES - Direction des Énergies). The department develops and qualifies the simulation tools for the design and the safety analysis of the French nuclear power systems, such as the system thermal-hydraulic code CATHARE. These studies are performed within the framework of internal CEA projects or in collaboration with several industrial partners (e.g. EDF, Framatome and TechnicAtome) and international partners.

For further information, please contact:
Prof. Nicola Pedroni (nicola.pedroni@polito.it)

Vedi anche  tesi_cea_ann_for_criticalheatflux.pdf 

Note (duration: around 8 months, starting period: February-April 2023)

Scadenza validita proposta 15/12/2023      PROPONI LA TUA CANDIDATURA

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