Numerical Methods for Fluid Dynamics and Multiphase Flow

Report on Current Developments in the Research Area

General Direction of the Field

The recent advancements in the research area are characterized by a strong emphasis on developing innovative numerical methods and computational tools to address complex fluid dynamics and multiphase flow problems. The field is moving towards more efficient and accurate simulation techniques, with a particular focus on structure-preserving algorithms, adaptive mesh refinement, and decoupling strategies for coupled systems. These developments are driven by the need to handle the increasing complexity of physical models and to reduce computational costs while maintaining high accuracy.

One of the key trends is the integration of advanced numerical techniques with theoretical analysis to ensure stability, convergence, and energy preservation in simulations. This is evident in the use of exponential time differencing methods, Galerkin discretizations, and iterative decoupling algorithms, which aim to maintain the physical properties of the models at the discrete level. Additionally, there is a growing interest in adaptive mesh refinement methods that can dynamically adjust the computational grid to focus on regions of interest, thereby optimizing computational resources.

Another significant direction is the development of novel splitting methods and Robin-Robin schemes for fluid-poroelastic interactions, which offer a more efficient way to handle the coupling between different physical domains. These methods are designed to be unconditionally stable and exhibit high-order time accuracy, making them suitable for large-scale simulations.

Noteworthy Papers

  1. Galerkin Method of Regularized Stokeslets for Procedural Fluid Flow with Control Curves: This paper introduces a novel procedural tool for designing incompressible velocity fields, combining Galerkin discretization with the Method of Regularized Stokeslets. The method is robust and efficient, making it a valuable contribution to fluid flow simulation.

  2. Adaptive Mesh Refinement for Two-Phase Viscoelastic Fluid Mixture Models: The development of an adaptive mesh refinement method for multiphase flows is a significant advancement, offering up to 10x speedup in simulations while maintaining high accuracy. This work is particularly noteworthy for its potential impact on industrial and biomedical applications.

  3. A structure-preserving implicit exponential time differencing scheme for Maxwell-Amp`ere Nernst-Planck model: The proposed decoupled structure-preserving scheme for the Maxwell-Ampere Nernst-Planck model ensures positivity and energy dissipation, making it a robust tool for simulating charged particle transport in complex systems.

Sources

Galerkin Method of Regularized Stokeslets for Procedural Fluid Flow with Control Curves

Crank-Nicolson-type iterative decoupled algorithms for Biot's consolidation model using total pressure

A Robin-Robin splitting method for the Stokes-Biot fluid-poroelastic structure interaction model

Numerical approximation of the insitu combustion model using the nonlinear mixed complementarity method

Adaptive Mesh Refinement for Two-Phase Viscoelastic Fluid Mixture Models

A structure-preserving implicit exponential time differencing scheme for Maxwell-Amp`ere Nernst-Planck model

A structure-preserving parametric finite element method for solid-state dewetting on curved substrates

Adaptive Finite Element Method for Phase Field Fracture Models Based on Recovery Error Estimates

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