A URANS-based three-phase mixture model simulates hydraulic jumps and air entrainment for Froude numbers 1.98-8.48, matching experimental data and IDDES accuracy at roughly 300 times lower computational cost.
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Physics-constrained ML with a fractal prior outperforms purely data-driven models for subgrid interfacial area density in corrugation regimes of multiphase flows but shows no gain in fragmentation regimes.
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Numerical Modeling of Flow and Air Entrainment in Hydraulic Jumps for a Wide Range of Froude Numbers
A URANS-based three-phase mixture model simulates hydraulic jumps and air entrainment for Froude numbers 1.98-8.48, matching experimental data and IDDES accuracy at roughly 300 times lower computational cost.
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Learning subgrid interfacial area in two-phase flows with regime-dependent inductive biases
Physics-constrained ML with a fractal prior outperforms purely data-driven models for subgrid interfacial area density in corrugation regimes of multiphase flows but shows no gain in fragmentation regimes.