Review of Deterministic and AI-Based Methods for Fluid Motion Modelling and Sloshing Analysis

Grzegorz Filo (), Paweł Lempa and Konrad Wisowski
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Grzegorz Filo: Faculty of Mechanical Engineering, Cracow University of Technology, 31-864 Cracow, Poland
Paweł Lempa: Faculty of Mechanical Engineering, Cracow University of Technology, 31-864 Cracow, Poland
Konrad Wisowski: Faculty of Mechanical Engineering, Cracow University of Technology, 31-864 Cracow, Poland

Energies, 2025, vol. 18, issue 5, 1-21

Abstract: Contemporary fluid motion modelling techniques, including the phenomenon of liquid sloshing in tanks, are increasingly associated with the use of artificial intelligence methods. In addition to the still frequently used traditional analysis methods and techniques, such as FEM, CFD, VOF and FSI, there is an increasing number of publications that use elements of artificial intelligence. Among others, artificial neural networks and deep learning techniques are used here in the field of prediction and approximation, as well as genetic and other multi-agent algorithms for optimization. This article analyses of the current state of research using the above techniques and the possibilities and main directions of their further development.

Keywords: liquid sloshing; modelling; artificial intelligence; neural networks; deep learning (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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