[HTML][HTML] Contribution of initial bubble radius distribution to weakly nonlinear waves with a long wavelength in bubbly liquids
T Kanagawa, R Ishitsuka, S Arai, T Ayukai - Physics of Fluids, 2022 - pubs.aip.org
In this study, the weakly nonlinear propagation of plane progressive pressure waves in an
initially quiescent liquid was theoretically investigated. This liquid contains several small …
initially quiescent liquid was theoretically investigated. This liquid contains several small …
[HTML][HTML] SPARSE–R: A point-cloud tracer with random forcing
D Domínguez-Vázquez, GB Jacobs - International Journal of Multiphase …, 2024 - Elsevier
A predictive, point-cloud tracer is presented that determines with a quantified uncertainty the
Lagrangian motion of a group of point-particles within a finite region. The tracer assumes a …
Lagrangian motion of a group of point-particles within a finite region. The tracer assumes a …
A seven-equation diffused interface method for resolved multiphase flows
A Panchal, SH Bryngelson, S Menon - Journal of Computational Physics, 2023 - Elsevier
The seven-equation model is a compressible multiphase formulation that allows for phasic
velocity and pressure disequilibrium. These equations are solved using a diffused interface …
velocity and pressure disequilibrium. These equations are solved using a diffused interface …
Liouville models of particle-laden flow
D Domínguez-Vázquez, GB Jacobs… - Physics of Fluids, 2024 - pubs.aip.org
Langevin (stochastic differential) equations are routinely used to describe particle-laden
flows. They predict Gaussian probability density functions (PDFs) of a particle's trajectory …
flows. They predict Gaussian probability density functions (PDFs) of a particle's trajectory …
Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands
A Sinha, SH Bryngelson - arXiv preprint arXiv:2404.05938, 2024 - arxiv.org
We demonstrate that neural networks can be FLOP-efficient integrators of one-dimensional
oscillatory integrands. We train a feed-forward neural network to compute integrals of highly …
oscillatory integrands. We train a feed-forward neural network to compute integrals of highly …
Numerical modeling and simulation of cavitating flows in different regimes
FL Brandao - 2023 - search.proquest.com
The objective of this dissertation is to develop numerical methodologies for large eddy
simulation (LES) of multiphase cavitating flows over different cavitation regimes …
simulation (LES) of multiphase cavitating flows over different cavitation regimes …
[PDF][PDF] STOCHASTIC COMPUTATIONAL METHODS FOR CAVITATION INCEPTION
A Radhakrishnan, S Bryngelson - researchgate.net
Cavitation inception has various applications, ranging from underwater ship propulsion to
medicine. Sub-grid scale models are used to amortize the high computational cost …
medicine. Sub-grid scale models are used to amortize the high computational cost …
[引用][C] Effect of initial bubble radius distribution on weakly nonlinear waves in bubbly liquids
T Kanagawa, R Ishitsuka, S Arai, T Ayukai