A sub-grid scale cavitation inception model

Unresolved pressure fluctuations at the sub-grid scale (SGS) level of large eddy simulation (LES) or Reynolds-averaged Navier–Stokes computations affect cavitation inception predictions, as SGS low pressures are simply ignored. We present a framework to take unresolved flow into account. Representing canonical turbulence, in this paper, homogeneous isotropic turbulence (HIT), fluctuations, and transport cavitating behavior nuclei such can be evaluated from direct numerical simulations (DNS) used create model that accounts for fluctuations. To accomplish this, different sizes were transported DNS HIT using their history drive Rayleigh–Plesset equation simulates bubble dynamics. In way, expected average frequencies tabulated range Taylor Reynolds numbers ([Formula: see text]), nucleus size, turbulent kinetic energy dissipation rate, mean pressure. The uses table estimate event rate each cell computational fluid dynamics solution. Inception then predicted by comparing total with detection criterion. is first assessed on two cases (at [Formula: text] = 240 324) statistics, which it predicts LES runs against statistics DNS. Then, high (1660–1880) simulated LES, events compared experimental data. successfully rates flow.