149130 20251017144549.0 doi 10.1007/s00466-019-01705-3 sideral 111497 ART-2019-111497 eng Moya, B. Universidad de Zaragoza (orcid)0000-0001-5483-6012 Learning slosh dynamics by means of data 2019 Access copy available to the general public Unrestricted In this work we study several learning strategies for fluid sloshing problems based on data. In essence, a reduced-order model of the dynamics of the free surface motion of the fluid is developed under rigorous thermodynamics settings. This model is extracted from data by exploring several strategies. First, a linear one, based on the employ of Proper Orthogonal Decomposition techniques is analyzed. Second, a strategy based on the employ of Locally Linear Embedding is studied. Finally, Topological Data Analysis is employed to the same end. All the three distinct possibilities rely on a numerical integration scheme to advance the dynamics in time. This thermodynamically consistent integrator is developed on the basis of the General Equation for Non-Equilibrium Reversible–Irreversible Coupling, GENERIC [M. Grmela and H.C Oettinger (1997). Phys. Rev. E. 56 (6): 6620–6632], framework so as to guarantee the satisfaction of first principles (particularly, the laws of thermodynamics). We show how the resulting method employs a few degrees of freedom, while it allows for a realistic reconstruction of the fluid dynamics of sloshing processes under severe real-time constraints. The proposed method is shown to run faster than real time in a standard laptop. info:eu-repo/grantAgreement/ES/DGA/T24-17R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.459 2019 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 13 / 105 = 0.124 2019 Q1 T1 MECHANICS 25 / 136 = 0.184 2019 Q1 T1 1.612 2019 Applied Mathematics 2019 Q1 Computational Mathematics 2019 Q1 Ocean Engineering 2019 Q1 Computational Theory and Mathematics 2019 Q1 Mechanical Engineering 2019 Q1 Computational Mechanics 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Gonzalez, D. Universidad de Zaragoza (orcid)0000-0003-3003-5856 Alfaro, I. Universidad de Zaragoza (orcid)0000-0002-9135-866X Chinesta, F. Cueto, E. Universidad de Zaragoza (orcid)0000-0003-1017-4381 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 64 (2019), 511–523 Comput. mech. COMPUTATIONAL MECHANICS 0178-7675 1685437 http://zaguan.unizar.es/record/149130/files/texto_completo.pdf Postprint 2158390 http://zaguan.unizar.es/record/149130/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:149130 articulos driver 2025-10-17-14:11:17 ARTICLE