MyJournals Home  

RSS FeedsEnergies, Vol. 15, Pages 9053: Application of LSTM Approach for Predicting the Fission Swelling Behavior within a CERCER Composite Fuel (Energies)

 
 

29 november 2022 15:51:24

 
Energies, Vol. 15, Pages 9053: Application of LSTM Approach for Predicting the Fission Swelling Behavior within a CERCER Composite Fuel (Energies)
 


Irradiation-induced swelling plays a key role in determining fuel performance. Due to their high cost and time demands, experimental research methods are ineffective. Knowledge-based multiscale simulations are also constrained by the loss of trustworthy theoretical underpinnings. This work presents a new trial of integrating knowledge-based finite element analysis (FEA) with a data-driven deep learning framework, to predict the hydrostatic-pressure–temperature dependent fission swelling behavior within a CERCER composite fuel. We employed the long short-term memory (LSTM) deep learning network to mimic the history-dependent behaviors. Training of the LSTM is achieved by processing the sequential order of the inputs to do the forecasting; the input features are fission rate, fission density, temperature, and hydrostatic pressure. We performed the model training based on a leveraged dataset of 8000 combinations of a wide range of input states and state evaluations that were generated by high-fidelity simulations. When replicating the swelling plots, the trained LSTM deep learning model exhibits outstanding prediction effectiveness. For various input variables, the model successfully pinpoints when recrystallization first occurs. The preliminary study for model interpretation suggests providing quantified insights into how those features affect solid and gaseous portions of swelling. The study demonstrates the efficacy of combining data-driven and knowledge-based modeling techniques to assess irradiation-induced fuel performance and enhance future design.


 
49 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 15, Pages 9051: Elaboration of Energy Balance: A Model for the Brazilian States (Energies)
Energies, Vol. 15, Pages 9052: Geometrical Optimization of Pelton Turbine Buckets for Enhancing Overall Efficiency by Using a Parametric ModelA Case Study: Hydroelectric Power Plant “Illuchi N2” from Ecuador (Energies)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2023 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten