Learning experimental data to predict fluid-elastic instability and optimize configuration of tube arrays

• Published in: Annals of nuclear energy Vol. 208; p. 110754
• Main Authors: Zhao, Xielin, Guo, Ruiwen, Liu, Tongwei, Zhou, Jinxiong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024
• Subjects: Critical velocity; Deep neural network (DNN); Fluid-elastic instability (FEI); Genetic algorithm (GA); Steam generators; Tube array configurations; Genetic algorithm (GA); Fluid-elastic instability (FEI); Tube array configurations; Critical velocity; Deep neural network (DNN); Steam generators

Fluid-elastic instability (FEI) poses a particularly significant challenge to the safety of steam generators, given its potential to cause substantial damage in short periods. The tube bundle system model is inherently complex, resulting in expensive costs for experiments and numerical simulations d...