Numerical Simulation Method of Fractal Dimension of Percolation Cluster in Porous Mediums
Yangsheng Zhao
Abstract
Yangsheng Zhao
Abstract
The basic theory of porous mediums in 2D condition is introduced and the theory of Renormalization method is applied to research the percolation.Based on numerical simulation experiment,this paper demonstrates the fractal characteristic of percolation cluster and drew the relationship curve between the number of percolation cluster: M(L) and L.deduced the function: M(L)=0.353?8L~(1.937?9)(site percolation),M(L)=0.711?2L~(1.905?4)(bond percolation).the fractal dimension of percolation is D=1.937?9(site percolation).D=1.905?4(bond percolation).We compared the result of numerical simulation experiment with accurate value.and analyzed the reason for the error.At the same time this paper explicated how to write the program in detail.how to experiment by using numerical simulation step by step.The essential preparative is order to our research in the future.
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The basic theory of porous mediums in 2D condition is introduced and the theory of Renormalization method is applied to research the percolation.Based on numerical simulation experiment,this paper demonstrates the fractal characteristic of percolation cluster and drew the relationship curve between the number of percolation cluster: M(L) and L.deduced the function: M(L)=0.353?8L~(1.937?9)(site percolation),M(L)=0.711?2L~(1.905?4)(bond percolation).the fractal dimension of percolation is D=1.937?9(site percolation).D=1.905?4(bond percolation).We compared the result of numerical simulation experiment with accurate value.and analyzed the reason for the error.At the same time this paper explicated how to write the program in detail.how to experiment by using numerical simulation step by step.The essential preparative is order to our research in the future.
Key concepts: Percolation (cognitive psychology), Percolation critical exponents, Percolation theory, Continuum percolation theory, Fractal dimension, Fractal, Percolation threshold, Statistical physics