Global random walk modeling of transport in complex systems

Abstract

The Global random walk algorithm performs simultaneously the tracking of large collections of particles and permits massive simulations at reasonable costs. Applications were developed for transport in systems with anisotropic, non-homogeneous, and randomly distributed parameters. As a first illustration we present simulations for diffusion in human skin. Further, a case study for contaminant transport in groundwater shows that the realizations of the transport process converge in mean square limit to a Gaussian diffusion. This investigation also indicates that the use of the Kraichnan routine, based on periodic random fields, yields reliable simulations of transport in Gaussian velocity fields.

Authors

N. Suciu
Tiberiu Popoviciu Institute of Numerical Analysis, Cluj Napoca branch of the Romanian Academy

C. Vamoş
Tiberiu Popoviciu, Institutue of Numerical and analysis, Romanian Academiy

I. Turcu
National R&D Institute for Isotopic and Molecular Technologies, Cluj-Napoca, Romania

C.V.L. Pop
National R&D Institute for Isotopic and Molecular Technologies, Cluj-Napoca, Romania

L.I. Ciortea
National R&D Institute for Isotopic and Molecular Technologies, Cluj-Napoca, Romania

Keywords

Global random walk; lattice gas; human skin; groundwater contamination

References

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Cite this paper as:

N. Suciu, C. Vamoş, I. Turcu, C.V.L. Pop, L.I. Ciortea (2007), Global random walk modeling of transport in complex systems, Computing and Visualization in Science, doi: 10.1007/s00791-007-0077-6

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https://link.springer.com/article/10.1007%2Fs00791-007-0077-6

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Journal

Computing and Visualization in Science

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