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Percolation
Filtration of fluids through porous materials From Wikipedia, the free encyclopedia
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In physics, chemistry, and materials science, percolation (from Latin percolare 'to filter, trickle through') refers to the movement and filtering of fluids through porous materials. It is described by Darcy's law. Broader applications have since been developed that cover connectivity of many systems modeled as lattices or graphs, analogous to connectivity of lattice components in the filtration problem that modulates capacity for percolation.


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Background
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The concept of percolation was first introduced by Flory[1] in 1941 in the context of cross-linking and polymer gelation. However, the first rigorous mathematical formulation of percolation was provided by Broadbent and Hammersley[2] in 1957 to understand the motion of gas molecules as they navigate the maze of pores within the carbon granules used to fill a gas mask. During the last decades, percolation theory, the mathematical study of percolation, has brought new understanding and techniques to a broad range of topics in physics, materials science, complex networks, epidemiology, and other fields. For example, in geology, percolation refers to filtration of water through soil and permeable rocks. The water flows to recharge the groundwater in the water table and aquifers. In places where infiltration basins or septic drain fields are planned to dispose of substantial amounts of water, a percolation test is needed beforehand to determine whether the intended structure is likely to succeed or fail.
In their seminal work on percolation, the original authors noted that the model possessed both mathematical interest and practical applications.[3] During the 1960s and 1970s, the subject attracted considerable attention from physicists such as Cyril Domb, Michael Fisher, John Essam, and M. F. Sykes. Their contributions helped establish percolation as a paradigmatic model for the study of phase transitions and critical phenomena. In particular, they developed important theoretical tools, including finite-size scaling and the renormalization group.[4][5][6][7][8]
Since then, percolation theory has been studied extensively by both physicists and mathematicians. Beyond its role as a canonical framework for critical phenomena, the notion of percolation appears in a wide variety of contexts. Applications include the spread of computer viruses, epidemics, the propagation of forest fires, and the flow of fluids through porous media.[9][10][11][12][13]
In two dimensional square lattice percolation is defined as follows. A site is "occupied" with
probability p or "empty" (in which case its edges are removed) with probability 1 – p; the
corresponding problem is called site percolation, see Fig. 2.
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Definition of percolation
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To define percolation, one needs to specify a set of rules and a skeleton on which rules are applied. The classical rule is the one where sites or bonds of the chosen skeleton are occupied with probability p and remain empty with probability 1-p. The most widely used skeletons are spatially embedded regular lattices such as square lattice, triangular lattice, cubic lattice, kagome lattice etc. For more than 60 years percolation theory has been studied extensively since it is considered as paradigmatic model for phase transition, typically second order or continuous phase transition.
Recently, network as a skeleton are getting more popular such as random network, scale-free network, small-world network etc. However Recently, we have witnessed a very interesting variants of percolation theorywhich is widely known as explosive percolation based on Achlioptas process[14].
Percolation typically exhibits universality. Statistical physics concepts such as scaling theory, renormalization, phase transition, critical phenomena and fractals are used to characterize percolation properties.
Combinatorics is commonly employed to study percolation thresholds.
Due to the complexity involved in obtaining exact results from analytical models of percolation, computer simulations are typically used. The current fastest algorithm for percolation was published in 2000 by Mark Newman and Robert Ziff.[15]
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Examples
- Coffee percolation (see Fig. 1), where the solvent is water, the permeable substance is the coffee grounds, and the soluble constituents are the chemical compounds that give coffee its color, taste, and aroma.
- Movement of weathered material down on a slope under the earth's surface.
- Cracking of trees with the presence of two conditions, sunlight and pressure.
- Collapse and robustness of biological virus shells to random subunit removal (experimentally-verified fragmentation of viruses).[16][17][18]
- Transport in porous media.
- Spread of diseases.[19][20]
- Surface roughening.[citation needed]
- Dental percolation, increase rate of decay under crowns because of a conducive environment for strep mutants and lactobacillus
- Potential sites for septic systems are tested by the "perc test". Example/theory: A hole (usually 6–10 inches in diameter) is dug in the ground surface (usually 12–24" deep). Water is filled in to the hole, and the time is measured for a drop of one inch in the water surface. If the water surface quickly drops, as usually seen in poorly-graded sands, then it is a potentially good place for a septic "leach field". If the hydraulic conductivity of the site is low (usually in clayey and loamy soils), then the site is undesirable.
See also
- Branched polymer
- Conductance
- Critical exponents
- Fragmentation
- Gelation
- Giant component
- Groundwater recharge
- Immunization
- Network theory
- Percolation critical exponents
- Percolation theory
- Percolation threshold
- Polymerization
- Self-organization
- Self-organized criticality
- Septic tank
- Supercooled water
- Water pipe percolator
References
Further reading
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