Cascades of bubbles in turbulent breaking waves
ORAL
Abstract
Turbulent breaking waves entrain air cavities that break up and coalesce to form polydisperse clouds of bubbles. A bubble-tracking algorithm is developed to identify bubble breakup and coalescence events in interface-capturing two-phase numerical simulations, and to quantify the resulting transfers of air between bubbles of different sizes. The time evolution of the volume- and ensemble-averaged bubble size distribution resulting from imbalances of the averaged transfer fluxes is described by a population balance equation with models for breakup and coalescence kernels. The formalism resembles the phenomenology of the Richardson-Kolmogorov energy cascade in single-phase turbulence. In order to demonstrate the presence of a bubble cascade, the transfer of air mass in bubble-size space by breakup and coalescence is examined for an ensemble of simulations of turbulent breaking waves. For breakup, a quasi-local transfer is observed in which the net transfer of air across a certain bubble size primarily depends on the number and breakup frequency of bubbles of similar sizes. This quasi-locality suggests that the statistics of bubble breakup at intermediate sizes are largely independent of the smallest and largest bubbles, in support of the idea of a bubble breakup cascade.
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Authors
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Wai Hong Ronald Chan
Center for Turbulence Research, Stanford University
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Perry Johnson
Center for Turbulence Research, Stanford University, Stanford University
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Javier Urzay
Center for Turbulence Research, Stanford University, Center for Turbulence Research, Center for Turbulence Research, Stanford University, Stanford CA 94305
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Parviz Moin
Center for Turbulence Research, Stanford University, Center for Turbulence Research, Center for Turbulence Research, Stanford University, Stanford CA 94305, Stanford University, Center for Turbulence Research, Stanford University, California 94305