Learning the single-dominant modal system on resonant sloshing in a rectangular tank
DOI:
https://doi.org/10.15407/dopovidi2022.06.046Keywords:
sloshing, machine learning, dampingAbstract
A machine learning technique is proposed to derive the damping rate functions in the co-called single-dominant modal system describing the resonant liquid sloshing in a rectangular tank performing harmonic longitudinal motions. Its implementation is demonstrated for the steady-state (periodic) resonance waves when the modal system admits an analytical asymptotic solution depending on the introduced damping rate functions. Recent experiments by Bäuerlein & Avila (2021) are employed to show that the viscous damping of the higher natural sloshing modes matters, and the damping functions depend on the wave amplitude.
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