Immersed Boundary Method

The immersed boundary method (IBM) is a numerical method that is considered to be promising and efficient. It was introduced by Peskin in 2002 and involves the use of a computational grid that is not aligned with the boundaries of the physical domain. This method is particularly useful for simulating fluid-structure interactions and other problems where the boundaries are complex or irregular.From: Computational Fluid Dynamics for Mechanical Engineering [2021], Simulations of self-propelled anguilliform swimming using the immersed boundary method in OpenFOAM [2019]

Rational Design of Polymeric Nanoconstructs for Drug Delivery and Biomedical Imaging

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Published in Dan Peer, Handbook of Harnessing Biomaterials in Nanomedicine, 2021

Anna Lisa Palange, Miguel Ferreira, Daniele Di Mascolo, Roberto Palomba, Pietro Lenarda, Alexander Cook, Paolo Decuzzi

In the last years, the Lattice Boltzmann method (LBM), as a fluid solver for the Navier–Stokes equations, and the immersed boundary method (IBM) have been extensively documented in simulating the transport of blood cells and particles in microcapillaries. For instance, lattice Boltzmann-based models were used to determine platelets margination in whole blood flow [77]; predict the adhesion dynamics of deformable microcapsules on capillary walls under different flow conditions [78, 79]; and characterize the formation of the cell-free layer [80, 81].

Simulations of self-propelled anguilliform swimming using the immersed boundary method in OpenFOAM

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Published in Engineering Applications of Computational Fluid Mechanics, 2019

Hui Feng, Zhaomeng Wang, Peter A. Todd, Heow Pueh Lee

Problems related to deformable-shape objects moving in fluids are of practical interest for many kinds of applications, such as vibration of underwater oil pipes, the transformation of red blood cells, and locomotion of birds and marine animals. For some of these applications, numerical methods can be applied to provide more detailed information. However, to solve these fluid-structure interactions (FSI) numerically, the huge computational cost is a challenge. To reduce the computational cost, several relatively new numerical algorithms have been developed. One of the most promising and efficient numerical methods is the immersed boundary method (IBM).

Immersed Boundary Method

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Rational Design of Polymeric Nanoconstructs for Drug Delivery and Biomedical Imaging

Simulations of self-propelled anguilliform swimming using the immersed boundary method in OpenFOAM