5 papers
Physics-integrated neural network modeling of heat and mass transfer in cryogenic liquid storage under static and dynamic conditions
Pedro Afonso Marques, Samuel Akatchi Ahizi, Miguel Alfonso Mendez
Accurate system-level prediction of cryogenic liquid storage remains challenging because reduced-order models rely on regime-dependent closures for unresolved heat and mass transfe…
Regime Maps for Sloshing in Horizontal Cylindrical Tanks Under Vertical Acceleration
Francisco Monteiro, Tommaso De Maria, Samuel Ahizi +3
Vertical sloshing in partially filled fuel tanks can significantly impact vehicle stability and structural integrity, particularly under harmonic accelerations near twice the slosh…
Real-time identification of parametric sloshing-induced heat and mass transfer in a horizontally oriented cylindrical tank
Samuel Akatchi Ahizi, Francisco Monteiro, Ramon Abarca +1
Vertical forcing of partially filled tanks can induce parametric sloshing. Under non-isothermal conditions, the resulting mixing can disrupt the thermal stratification between liqu…
Reinforcement Twinning: from digital twins to model-based reinforcement learning
Lorenzo Schena, Pedro Marques, Romain Poletti +3
Digital twins promise to revolutionize engineering by offering new avenues for optimization, control, and predictive maintenance. We propose a novel framework for simultaneously tr…
Real-time data assimilation for the thermodynamic modeling of cryogenic storage tanks
Pedro Afonso Marques, Samuel Ahizi, Miguel Alfonso Mendez
The thermal management of cryogenic storage tanks requires advanced control strategies to minimize the boil-off losses produced by heat leakages and sloshing-enhanced heat and mass…