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A Unified Numerical Framework for Turbulent Convection and Phase-Change Dynamics in Coupled Fluid-Porous Systems

Rongfu Guo, Yantao Yang

TL;DR

The paper develops a unified single-domain framework for simulating turbulent convection and phase-change dynamics in coupled fluid–porous systems with variable porosity and high solid–to–fluid conductivity contrasts. It combines a Darcy–Brinkman momentum model with a modified phase-field approach, augmented by a thermal-dispersion correction and a robust RK3 temporal scheme with operator factorization to achieve second-order accuracy efficiently. The framework is validated across diverse benchmarks—channel flow over permeable substrates, thermally driven fluid–porous convection, 1D Stefan and 2D pure-water freezing, double-diffusive convection in porous media, and seawater freezing with mushy-layer formation—showing excellent agreement with theory, experiments, and prior simulations. This unified, highly scalable approach enables accurate, computationally efficient simulation of complex multi-physics mushy-layer problems, with broad relevance to geothermal processes, sea-ice dynamics, and materials processing.

Abstract

We present a unified numerical framework for simulating turbulent thermal convection and phase-change dynamics in coupled fluid-porous media systems. The framework is designed to handle high solid-to-fluid thermal conductivity contrast and spatiotemporally varying porosity. It combines a Darcy-Brinkman formulation with a modified phase-field method to achieve smooth two-way coupling across transitioning interfaces. The model integrates momentum, energy, solute transport, and phase evolution equations. A factorized operator-splitting approach with second-order temporal accuracy is employed to ensure computational efficiency. The numerical method is rigorously validated using a range of benchmark problems. These include channel flow over permeable substrates, thermal convection in porous-fluid layers, 1D Stefan and 2D pure-water phase changing, double-diffusive convection in porous media, and seawater solidification. The results show good agreement with existing experiments and simulations.

A Unified Numerical Framework for Turbulent Convection and Phase-Change Dynamics in Coupled Fluid-Porous Systems

TL;DR

The paper develops a unified single-domain framework for simulating turbulent convection and phase-change dynamics in coupled fluid–porous systems with variable porosity and high solid–to–fluid conductivity contrasts. It combines a Darcy–Brinkman momentum model with a modified phase-field approach, augmented by a thermal-dispersion correction and a robust RK3 temporal scheme with operator factorization to achieve second-order accuracy efficiently. The framework is validated across diverse benchmarks—channel flow over permeable substrates, thermally driven fluid–porous convection, 1D Stefan and 2D pure-water freezing, double-diffusive convection in porous media, and seawater freezing with mushy-layer formation—showing excellent agreement with theory, experiments, and prior simulations. This unified, highly scalable approach enables accurate, computationally efficient simulation of complex multi-physics mushy-layer problems, with broad relevance to geothermal processes, sea-ice dynamics, and materials processing.

Abstract

We present a unified numerical framework for simulating turbulent thermal convection and phase-change dynamics in coupled fluid-porous media systems. The framework is designed to handle high solid-to-fluid thermal conductivity contrast and spatiotemporally varying porosity. It combines a Darcy-Brinkman formulation with a modified phase-field method to achieve smooth two-way coupling across transitioning interfaces. The model integrates momentum, energy, solute transport, and phase evolution equations. A factorized operator-splitting approach with second-order temporal accuracy is employed to ensure computational efficiency. The numerical method is rigorously validated using a range of benchmark problems. These include channel flow over permeable substrates, thermal convection in porous-fluid layers, 1D Stefan and 2D pure-water phase changing, double-diffusive convection in porous media, and seawater solidification. The results show good agreement with existing experiments and simulations.
Paper Structure (29 sections, 47 equations, 12 figures)

This paper contains 29 sections, 47 equations, 12 figures.

Figures (12)

  • Figure 1: Schematic illustration of the solidification problem involving a binary fluid. The mushy domain $\Omega_m$ is separated from the liquid domain $\Omega_l$ by the liquid-solid interface $\Gamma$. The temperature $T_{l,m}$ and the concentration $S_{l,m}$ are solved in the two domains.
  • Figure 2: Schematic of the validation setup for turbulent channel flow over a permeable substrate, following Breugem06. The domain has a height of $2\delta$, bounded by an impermeable wall at the top and a permeable layer of thickness $h=2\delta$ and porosity $\phi$ at the bottom. An interfacial layer of thickness $\delta_i$ facilitates a smooth transition in porosity and permeability.
  • Figure 3: Validation of the mean and fluctuating velocity profiles for channel flow over a permeable substrate with porosity $\phi=0.8$. (a) Mean velocity profile normalized by the bulk velocity $U_b$ as a function of dimensionless height $z/H$. (b) Root mean square velocity fluctuations in wall units. Symbols denote the reference data from Breugem06 obtained using the Volume-Averaged Navier-Stokes (VANS) equations.
  • Figure 4: Schematic of the two-layer system for validating thermally driven convection, after Reun21. The domain of total height $2h$ consists of a fluid-saturated porous medium of depth $h$ in the lower half ($-h\le z<0$) and a free fluid layer of depth $h$ in the upper half ($0<z\le h$). The interface is at $z=0$. The system is driven by a temperature difference between the hot bottom ($T_b$) and cold top ($T_t$) boundaries.
  • Figure 5: Numerical results for coupled convection in a fluid-porous layer. (a) Snapshot of the temperature field $\theta$. (b) Horizontally averaged temperature profile.
  • ...and 7 more figures