Software Listing of Author : "Gianni Schena"

An alternative solution to the MAZE problem on matlab central FEX. (A recent submission to the File exchange on MATLAB central File ID: #27175 ). The present solution uses an Immiscible Lattice Boltzmann framework to simulate the flow of a blue fluid in a complex pipeline; a red bubble is added at the inlet that serves as tracer to identify the fastest way out to the maze i.e. the path to the outlet. The implementation is based on a method described in Rothman, D.H. and Keller, J.M., ``Immiscible cellular-automaton fluids,'' Journal of Statistical Physics 52, 1119-1127, August 1988. and Gunstensen, A. and Rothman, D.H., ``A lattice-gas model for three immiscible fluids,'' Physica D 47, 47-52, January, 1991. Periodic boundary conditions are applied at the inlet and outlet. in order to run the code type : Run_Maze_solution_ILB a...

  • Platform: Matlab, Scripts

The model is also referred to as color model or chromodynamic model or ILB (immiscible LB). It will save all the generated frames of the simulation in an .AVI video file.

  • Platform: Matlab, Scripts

The present matlab code derives from the basic Lattice Boltzmann code named LB BGK D2Q9 and submitted on 2005-02-10 (see Matlab Central). This version is particularly tailored to porous systems. Indeed, rather than keeping in memory values of density calculated in both wet and dry locations (i.e. area interested by the fluid flow and area occupied by solid obstacles), it keeps track of wet locations only (i.e. the pore space only). Thus it allows important saving in variable storage in cases of low porosity. This memory saving is achieved at the expenses of minor extra computations of wet location indices. A look-up table of absolute locations is used. A recent version of Image Processing Toolbox is needed because IPT functions are used to identify the boundaries of the obstacles (i.e. the so called bounce-back pixels). The new code...

  • Platform: Matlab, Scripts

The script uses distance transform instead of thinning base as the primary method for skeletonization. The method is sensitive to the value of the user defined Thinness Parameter (TP). An alternative approach to 3D skeletonization that use the gradient and divergence of the distance transform is also given.

  • Platform: Matlab, Scripts
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