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Lattice Gas Cellular Automata Fluid Dynamics Case Study
- Source :
- Computing in Science & Engineering. 22:87-91
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- The Navier–Stokes equations are the basis for describing the flow of a viscus material and are used to model fluid motion from weather to air flow over a wing. These equations, however, tend to be notoriously difficult to solve, whether analytically or computationally, even for small systems due to their highly nonlinear nature. Thus, less complicated methods that are more computationally tractable are desirable in domains as varied as hydroelectric power to race car construction. At a fundamental level, fluids are composed of interacting molecules. Lattice Gas Cellular Automata (LGCA) represents an efficient way to simulate these interacting fluid particles on a lattice. LGCA captures the microscopic behavior of the fluid by applying simple collision and propagation rules at each lattice site. This leads to realistic macroscopic behavior that can be used to build insight about real fluid flow. Here, we show the Hardy, Pomeau, and de Pazzis model for simulating a lattice gas. The computational framework presented in this case study can also be expanded to more complicated LGCA.
- Subjects :
- General Computer Science
Computer science
business.industry
General Engineering
Computational fluid dynamics
Cellular automaton
Lattice gas automaton
Physics::Fluid Dynamics
Nonlinear system
symbols.namesake
Maxwell's equations
Lattice (order)
symbols
Fluid dynamics
Statistical physics
business
Navier–Stokes equations
Subjects
Details
- ISSN :
- 1558366X and 15219615
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Computing in Science & Engineering
- Accession number :
- edsair.doi...........ac172de1837d81c8897b91e4b65fbab6