SIAM Journal on Scientific Computing
Efficient management of parallelism in object-oriented numerical software libraries
Modern software tools for scientific computing
Mathematical physiology
An adaptive version of the immersed boundary method
Journal of Computational Physics
A Cartesian grid finite-volume method for the advection-diffusion equation in irregular geometries
Journal of Computational Physics
A cell-centered adaptive projection method for the incompressible Euler equations
Journal of Computational Physics
Accurate projection methods for the incompressible Navier—Stokes equations
Journal of Computational Physics
Two- and Three-Dimensional Poisson–Nernst–Planck Simulations of Current Flow Through Gramicidin A
Journal of Scientific Computing
Adaptive Methods for Partial Differential Equations
Adaptive Methods for Partial Differential Equations
Approximate Projection Methods: Part I. Inviscid Analysis
SIAM Journal on Scientific Computing
hypre: A Library of High Performance Preconditioners
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Simulating the blood-muscle-valve mechanics of the heart by an adaptive and parallel version of the immersed boundary method
Unconditionally stable discretizations of the immersed boundary equations
Journal of Computational Physics
Managing complex data and geometry in parallel structured AMR applications
Engineering with Computers
An adaptive, formally second order accurate version of the immersed boundary method
Journal of Computational Physics
2-D Parachute Simulation by the Immersed Boundary Method
SIAM Journal on Scientific Computing
Local adaptive mesh refinement for shock hydrodynamics
Journal of Computational Physics
Journal of Computational Physics
Hi-index | 31.45 |
We describe an immersed boundary method for problems of fluid-solute-structure interaction. The numerical scheme employs linearly implicit timestepping, allowing for the stable use of timesteps that are substantially larger than those permitted by an explicit method, and local mesh refinement, making it feasible to resolve the steep gradients associated with the space charge layers as well as the chemical potential, which is used in our formulation to control the permeability of the membrane to the (possibly charged) solute. Low Reynolds number fluid dynamics are described by the time-dependent incompressible Stokes equations, which are solved by a cell-centered approximate projection method. The dynamics of the chemical species are governed by the advection-electrodiffusion equations, and our semi-implicit treatment of these equations results in a linear system which we solve by GMRES preconditioned via a fast adaptive composite-grid (FAC) solver. Numerical examples demonstrate the capabilities of this methodology, as well as its convergence properties.