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Autori principali: Fabusola, Gbenga, Simon, Cory M.
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2408.14503
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author Fabusola, Gbenga
Simon, Cory M.
author_facet Fabusola, Gbenga
Simon, Cory M.
contents We aim to reconstruct the shape of an exogenous, heavy solid contained in a tank from measurements of the liquid level in the tank as it drains (driven by gravity) through a small orifice in its side. (Because the solid displaces liquid, the rate of decrease of the liquid level provides information about the cross-sectional area of the solid at that height; as the liquid level drops, it "scans" the area of the solid as a function of height.) We combine mathematical modeling, Bayesian statistical inversion, Monte Carlo simulation, and wet experiments of a tank draining of water to demonstrate and test our ability to infer the cross-sectional area of the exogenous solid as a function of height. In our experiment, the posterior distribution over the [held-out] shape of the solid (a bottle) agreed reasonably well with our length-measurements (<10% mean reconstruction error on its radius). Our approach may be practically useful to non-destructively characterize the geometry of an unknown solid, or a packed bed of solid particles, contained in an opaque tank.
format Preprint
id arxiv_https___arxiv_org_abs_2408_14503
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Inferring the shape of a solid inside a draining tank from its liquid level dynamics
Fabusola, Gbenga
Simon, Cory M.
Fluid Dynamics
We aim to reconstruct the shape of an exogenous, heavy solid contained in a tank from measurements of the liquid level in the tank as it drains (driven by gravity) through a small orifice in its side. (Because the solid displaces liquid, the rate of decrease of the liquid level provides information about the cross-sectional area of the solid at that height; as the liquid level drops, it "scans" the area of the solid as a function of height.) We combine mathematical modeling, Bayesian statistical inversion, Monte Carlo simulation, and wet experiments of a tank draining of water to demonstrate and test our ability to infer the cross-sectional area of the exogenous solid as a function of height. In our experiment, the posterior distribution over the [held-out] shape of the solid (a bottle) agreed reasonably well with our length-measurements (<10% mean reconstruction error on its radius). Our approach may be practically useful to non-destructively characterize the geometry of an unknown solid, or a packed bed of solid particles, contained in an opaque tank.
title Inferring the shape of a solid inside a draining tank from its liquid level dynamics
topic Fluid Dynamics
url https://arxiv.org/abs/2408.14503