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The immersed boundary method for advection-electrodiffusion with implicit timestepping and local mesh refinement
Pilhwa Lee1, Boyce E Griffith, Charles S Peskin
1Department of Cell Biology, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030-3505.
A new immersed boundary method enables stable, large timesteps for fluid-solute-structure interaction simulations. This approach accurately models steep gradients in space charge layers and chemical potential for membrane permeability.
Area of Science:
- Computational fluid dynamics
- Multiphysics simulation
- Biomembranes and transport
Background:
- Fluid-solute-structure interaction presents significant computational challenges.
- Accurate modeling of membrane permeability and charged solute transport is crucial.
- Existing numerical methods often struggle with large timesteps and resolving steep gradients.
Purpose of the Study:
- To develop an efficient and stable numerical method for fluid-solute-structure interaction.
- To accurately simulate transport phenomena across membranes, including charged species.
- To enable larger timesteps and local mesh refinement for complex simulations.
Main Methods:
- An immersed boundary method is employed for fluid-solute-structure interaction.
- Linearly implicit timestepping allows for substantially larger stable timesteps.
- Local mesh refinement resolves steep gradients in space charge layers and chemical potential.
Main Results:
- The numerical scheme demonstrates stability with large timesteps compared to explicit methods.
- Accurate resolution of steep gradients associated with space charge layers and chemical potential is achieved.
- The method effectively models membrane permeability control via chemical potential.
Conclusions:
- The developed immersed boundary method offers a robust approach for fluid-solute-structure interaction problems.
- The methodology shows promise for simulating complex transport phenomena in biological and engineered systems.
- Numerical examples confirm the method's capabilities and convergence properties.
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