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Effective Conductivity of an Isotropic Heterogeneous Medium of Lognormal Conductivity Distribution
78
Citations
16
References
2003
Year
EngineeringEffective ConductivityMathematical Statistical PhysicLognormal Conductivity DistributionStatistical Field TheoryIntegrable ProbabilityTransport PhenomenaStochastic GeometryMaterials ScienceIsotropic Heterogeneous MediumElectrical EngineeringPhysicsEffective Conductivity KefProbability TheoryElectrical PropertyDiffusion ResistanceEntropyApplied PhysicsSpherical InclusionsRandom MatrixElectrical Insulation
The study aims at deriving the effective conductivity Kef of a three-dimensional heterogeneous medium whose local conductivity K(x) is a stationary and isotropic random space function of lognormal distribution and finite integral scale IY. We adopt a model of spherical inclusions of different K, of lognormal pdf, that we coin as a multi-indicator structure. The inclusions are inserted at random in an unbounded matrix of conductivity K 0 within a sphere $\Omega $, of radius R 0, and they occupy a volume fraction n. Uniform flow of flux $% U_{\infty }$ prevails at infinity. The effective conductivity is defined as the equivalent one of the sphere $\Omega ,$ under the limits $n\rightarrow 1$ and $R_{0}/I_{Y}\rightarrow \infty .$ Following a qualitative argument, we derive an exact expression of Kef by computing it at the dilute limit $% n\rightarrow 0.$ It turns out that Kef is given by the well-known self-consistent or effective medium argument. The above result is validated by accurate numerical simulations for $\sigma _{Y}^{2}$ $\leq $ 10 and for spheres of uniform radii. By using a faced-centered cubic lattice arrangement, the values of the volume fraction are in the interval 0<n < 0.7. The simulations are carried out by the means of an analytic element procedure. To exchange space and ensemble averages, a large number N=10000 of inclusions is used for most simulations. We surmise that the self-consistent model is an exact one for this type of medium that is different from the multi-Gaussian one.
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