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An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

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IB2d

Author: Nicholas A. Battista, Ph.D.
Email: battistn[at]tcnj.edu
Website: http://battistn.pages.tcnj.edu
Department: Mathematics & Statistics (TCNJ MATH)
Institution: The College of New Jersey (TCNJ)

An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

If you use this software for research, educational, or recreational purposes, please let Nick Battista (battistn[at]tcnj.edu) know!


If you use the code for research, please cite the following papers:

N.A. Battista, A.J. Baird, L.A. Miller, A mathematical model and MATLAB code for muscle-fluid-structure simulations, Integ. Comp. Biol. 55(5):901-911 (2015), LINK

N.A. Battista, W.C. Strickland, L.A. Miller, IB2d:a Python and MATLAB implementation of the immersed boundary method,, Bioinspiration and Biomemetics 12(3): 036003 (2017), LINK

N.A. Battista, W.C. Strickland, A. Barrett, L.A. Miller, IB2d Reloaded: a more powerful Python and MATLAB implementation of the immersed boundary method, in press Math. Method. Appl. Sci. 41:8455-8480 (2018) LINK


IB2d Video Tutorials:

Tutorial 1: https://youtu.be/PJyQA0vwbgU
An introduction to the immersed boundary method, fiber models, open source IB software, IB2d​, and some FSI examples!

Tutorial 2: https://youtu.be/jSwCKq0v84s
A tour of what comes with the IB2d software, how to download it, what Example subfolders contain and what input files are necessary to run a simulation

Tutorial 3: https://youtu.be/I3TLpyEBXfE
An overview of how to construct immersed boundary geometries and create the input files (.vertex, .spring, etc.) for an IB2d simulation to run using the oscillating rubberband example from Tutorial 2 as a guide.

Tutorial 4: https://youtu.be/4D4ruXbeCiQ
The basics of visualizing data using open source visualization software called VisIt (by Lawrence Livermore National Labs), visualizing the Lagrangian Points and Eulerian Data (colormaps for scalar data and vector fields for fluid velocity vectors)


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An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

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  • MATLAB 70.6%
  • Mathematica 19.0%
  • Python 9.8%
  • C 0.5%
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