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Current distribution in fused electrical networks

Abstract

Electrical networks provide a natural model to study transport processes such us dielectric breakdown and metal insulator transition in disordered inhomogeneous conductors. We present a calculation for current distribution on an infinite hyper-cubic network due to an external applied current. This is used to compute, analytically, the redistribution of current due to variations in the conductance of a finite number of elements of the network.


Current distribution in fused electrical networks

J.S. Espinoza OrtizI; Gemunu H. GunaratneI,II

IDepartment of Physics, University of Houston, Houston, TX77204

IIThe Institute of Fundamental Studies, Kandy 20000, Sri Lanka

ABSTRACT

Electrical networks provide a natural model to study transport processes such us dielectric breakdown and metal insulator transition in disordered inhomogeneous conductors. We present a calculation for current distribution on an infinite hyper-cubic network due to an external applied current. This is used to compute, analytically, the redistribution of current due to variations in the conductance of a finite number of elements of the network.

1 Introduction

Electrical network models can be used to study transport phenomena in disordered systems. Examples of such systems include compacted mixtures of conducting and non-conducting materials or homogeneous multi-phase system with varying conductivity. Applications to disordered networks cover dielectric breakdown [1, 2, 3], metal-insulator transitions [4], and brittle fracture in disordered solids [5, 6, 7, 8]. In particular,such models have provided insights on critical phenomena [9], scale-invariant disorder [10, 9, 3], and size-dependence of the system [11]. In this paper we introduce an exact analytical technique to compute current distributions on model networks.

In the "Effective Medium Theory", the distribution of current in a random network of conductances to which an external current has been applied along a fixed direction must be regarded as due to both an "external field" which increases the mean current, and a "fluctuating local field" due to deviations from a uniform medium. The "mean current" is chosen so that the average of these fluctuation vanish.

We consider fused-conducting networks, where the breakdown currents of an element is assumed to be proportional to its conductance; i.e., breakdown of any conductor occurs when the potential difference across it reaches a fixed pre-set value. In the simplest case, conductances along each axis of a hyper-cube are set equal. In Section II, we calculate how an external current introduced at a node and removed from an adjacent node is distributed on the network [12, 13]. The Green's Function derived for this case can be used to calculate the current distribution due to an external field on a network from which a finite number of conductances are removed. Several examples are shown in Section III, for two and three dimensional networks. Subsequently, in section IV, this method is generalized to consider networks where conductances are reduced (as opposed to vanishing) beyond a critical current. Section V presents discussions and conclusions.

2 Green's Functions for Hyper-cubic Network

Lets us consider an infinite d-dimensional hyper-cubic network where all conductances along the mth direction (ûm) are assumed to be equal to sm (m = 1,2,...,d). In this section we calculate the distribution of current on this network due to a unit external current introduced at the origin and removed from an adjacent node, say a. This result was obtained by using a Green's function method by Kirkpatric [12, 11] and is reproduced here for completeness.

Denote the potential at the node n = (n1,n2,...,nd), by V(n) and the current on the conductor joining nodes n and n + ûm by Jm(n); then,

The potentials V(n) can be obtained using the Kirchhoff's rule at each node; i.e.,

where the term in the right side is the externally applied current. Eqn. (2) is easily solved by using the Fourier transform (k) = ån e-in kV(n), which satisfies

Thus

where km = ûm×k. Hence

and

Next, let us specialize to networks in two dimensions with equal conductances (sm = 1), and define a = û2, a(n)º Jy(n) and b(n)º Jx(n), see Fig. 1. In order to obtain expressions for a¢ s and b¢ s is also necessary to consider implicit symmetries on the networks; i.e.,


These are easily obtained by taking into account the flux of current in the OABC cell and by reflecting it with respect to OA, see Fig. 1.

Combining Eqns. (5) and (6) gives

This analysis can be easily extended to compute the a's and b's in three dimensions. These are calculated using configuration analogous to Fig. 1 with the unit external current is introduced along the û3 direction. Then

Notice, now there are two possible directions for b¢s (i.e. x and y, respectively).

Values of a's and b's given by Eqn. (7-8) for several n are given in the Appendix, and will be used for computation to follow. In particular a0 = 1/2 and 1/3 in two and three dimensions respectively, as can be easily confirmed using arguments based on symmetry and superposition [12].

The a's and b's can also be computed perturbatively by expanding the denominator as a series in powers of cos kj. Expansion to fourth order gives results that are accurate to within 2%.

3 Removal of Conductors in Networks

In this section we introduce a method to calculate the current distribution on the network when a finite number of conductances are removed.

Consider a two dimensional isotropic (sx = sy = 1) network with an externally applied unit electric field in the y-direction. The currents on this configuration are Jx(n) = 0,Jy(n) = 1, see Fig. 2(a).



First, we enumerate changes in the current distribution due to the removal of the conductor joining the origin to (0, -1), the link OA in Fig. 2(b). The excess current d on any remaining element can be considered to be the redistribution of the current that originally passed through the link OA , i.e.(0, 0)-(0, -1), see Fig. 2(c). d can be evaluated using specific values of a's and b's by the following procedure. Consider the complete network, with and external current (1 + J) introduced at (0, 0) and removed from (0, -1), as shown in Fig. 2(d). (1 + J) is chosen so that a current J passes through (0, 0) - (0, -1), and the remainder (= 1) passes through the rest of the network; i.e., this second part is the solution to the problem illustrated in Fig. 2(c). But from the discussion in Section II, the current passing through (0, 0) - (0, -1) is a(0,0)× (1 + J). Hence,

Since a(0,0) = 1/2, we find that J = 1 and that the changes of current in the network are given by,

In particular , the current on conductances adjacent to that removed in Fig. 2(b) is

as was given by Duxbury et. al. [11]

Finally, we provide results from the analogous calculation for cubic networks of fused conductances. For a single fracture like in Fig. 2, J = 1/2 and the value of maxima current for adjacent links are,

Several applications of these formulae are given in Ref. [15]

4 Reduction of Conductances

The next problem we address is how the current distribution of the network changes if the conductance of one bond changes to s < 1 , while the remaining conductors are left unchanged. The current passing thorough this link will decrease causing the remainder to be re-distributed onto the rest of the network. We show how the values of these currents can be calculated.

In Fig. 3(a) we consider the bond OA has its conductance reduced to s, and there is a current I passing through it. The remainder (1 - I) is redistributed into the network causing an excess of current d on remaining elements. This is evaluated using a procedure schematically depicted in Fig. 3(c). Consider the complete network, and an external current (1 - I + J) is applied at O and removed from A. It is chosen so that a current J passes through the link OA and the remainder (1 - I) passes through the rest of the network. Because of this construction, the changes in the current on the cell OABC (in terms of a¢s and b¢s) are (as was discussed in Section II),



Notice that in order to compute the variations of currents we introduced an auxiliary variable, and the solution require an additional condition. This is obtained by applying Kirckoff's rule into the cell OABC. Thus,

Solving (12) and (13), we find

and the changes in currents are:

Notice that when s = 0, we retain the results derived in Section III.

Now we calculate the currents on the network shown in Fig. 4(a). The dashed links (where s < 1) are replaced by externally applied currents as described earlier, as shown in Fig. 4(b). These currents, J1, J2 and J3 are calculated using,

and,



The first set of equations are obtained imposing balance of current, and the last ones from applying Kirchoff's laws. For particular case which considers s1 = s2 = s3 = 0.5, some of the currents on the network are given again in Fig. 4(a) and their values were confirmed through numerical integrations on 100× 100 networks. Values for currents on dashed bounds are: J1 = 0.225; J2 = 0.495; J3 = 0.476, and I1 = 0.113; I2 = 0.748; I3 = 0.738, respectively.

Next let us provide another application considering two clusters interacting, in Fig. 5. Setting up the following values to conductivities: s1 = 0.09, s2 = 0.15, s3 = 0.6, and s4 = 0.9, we have solved numerically 8 linear equations to obtain several values of currents which are shown in the same Figure. The respective J's values were: J1 = 0.0287, J2 = 0.0133, J3 = 0.2483, and J4 = 0.0767.


Finally we consider the three dimensional fractured network depicted in Fig. 6. Using analogous arguments above, the currents are computed from:

and


Setting up conductivities to be s1 = 0.5, s2 = 0.25 and s3 = 0.1 we have obtained I1 = 0.0091, I2 = 0.0083 and I3 = 0.1429, respectively. These conclusions were confirmed numerically.

5 Discussions and Conclusions

We have presented a method to compute current distributions on infinite two and three dimensional networks, a finite number of whose conductances differ from unity. The method can be used to calculate (for example) how breakdown strength of a networks reduces due to a "fracture" of k congruent locations whose conductances have "burned". The expression obtained from this calculation can be generalized to elastic networks, one of whose applications is the determination of a relationship between the strength and density of the trabecular bone, with possible applications in using bone strength as a non-invasive diagnostic tool to identify patients with osteoporosis [15, 16].

We would like to thank discussions with C. Rajapakse. This work is partially funded by the Office of Naval Research, the National Science Foundation and the ICSC - World Laboratory.

6 Appendix

References

[1] H. Takayasu, Phys. Rev. Lett. 54, 1099 (1985).

[2] J.C. Dyre. and Th. Schroder B, Rev. of Modern Phys. 72, 873 (2000).

[3] A. Hansen, E.L. Hinrichsen and S. Roux, Phys. Rev. B 43, 665 (1991) and in Phys. Rev. Lett. 66, 2476 (1991).

[4] V.K.S. Shante and S. Kirkpatric, Adv. Phys. 20, 325 (1971).

[5] M. Sahimi and J.D. Goddard, Phys. Rev. B 32, 1869 (1985).

[6] J.W. Chung, A. Ross, J. Th. De Hosson and E van der Giessen, Phys. Rev. B 54, 15094 (1996-I).

[7] P. Ray and B.K. Chakrabarti, Phys. Rev. B 38, 715 (1988).

[8] Y. Kantor and I. Webman, Phys. Rev. Lett. 52, 1891 (1984).

[9] H.J. Herrmann, A. Hansen and S. Roux, Phys. Rev. B39, 637 (1989).

[10] B.K. Chakrabarti and L.G. Benguigui, ''Statistical Physics of Fracture and Breakdown ind Disordered Systems'', Oxford University Press, Inc. N. Y., 1997.

[11] P.M. Duxbury, P.D. Beale and P.L. Leath, Phys. Rev. Lett 57, 1052 (1986) and in Phys. Rev. B 36, 367 (1986).

[12] S. Kirkpatric, Rev. of Modern Phys. 45, 574 (1973).

[13] J. Bernasconi, Phys. Rev. B 9, 4575 (1974).

[14] D.G. Harlow and S.L. Phoenix, Int. J. Frac. 17, 601 (1981).

[15] J.S.Espinoza Ortiz ,Chamith S. Rajapakse, and Gemunu H.Gunaratne, Phys. Rev. B. 66, 144203 (2002) and in Virtual Journal of Biological Physics Research-Multicellular Phenomena 4, issue 9, (2002).

[16] G.H. Gunaratne, C.S. Rajapakse, K.E. Bassler, K.K. Mohanty and S.J. Wimalawansa, Phys. Rev. Lett. 880, 68101 (2002).

Received on 27 December, 2002

  • [1] H. Takayasu, Phys. Rev. Lett. 54, 1099 (1985).
  • [2] J.C. Dyre. and Th. Schroder B, Rev. of Modern Phys. 72, 873 (2000).
  • [3] A. Hansen, E.L. Hinrichsen and S. Roux, Phys. Rev. B 43, 665 (1991)
  • and in Phys. Rev. Lett. 66, 2476 (1991).
  • [4] V.K.S. Shante and S. Kirkpatric, Adv. Phys. 20, 325 (1971).
  • [5] M. Sahimi and J.D. Goddard, Phys. Rev. B 32, 1869 (1985).
  • [6] J.W. Chung, A. Ross, J. Th. De Hosson and E van der Giessen, Phys. Rev. B 54, 15094 (1996-I).
  • [7] P. Ray and B.K. Chakrabarti, Phys. Rev. B 38, 715 (1988).
  • [8] Y. Kantor and I. Webman, Phys. Rev. Lett. 52, 1891 (1984).
  • [9] H.J. Herrmann, A. Hansen and S. Roux, Phys. Rev. B39, 637 (1989).
  • [10] B.K. Chakrabarti and L.G. Benguigui, ''Statistical Physics of Fracture and Breakdown ind Disordered Systems'', Oxford University Press, Inc. N. Y., 1997.
  • [11] P.M. Duxbury, P.D. Beale and P.L. Leath, Phys. Rev. Lett 57, 1052 (1986)
  • and in Phys. Rev. B 36, 367 (1986).
  • [12] S. Kirkpatric, Rev. of Modern Phys. 45, 574 (1973).
  • [13] J. Bernasconi, Phys. Rev. B 9, 4575 (1974).
  • [14] D.G. Harlow and S.L. Phoenix, Int. J. Frac. 17, 601 (1981).
  • [15] J.S.Espinoza Ortiz ,Chamith S. Rajapakse, and Gemunu H.Gunaratne, Phys. Rev. B. 66, 144203 (2002)
  • and in Virtual Journal of Biological Physics Research-Multicellular Phenomena 4, issue 9, (2002).
  • [16] G.H. Gunaratne, C.S. Rajapakse, K.E. Bassler, K.K. Mohanty and S.J. Wimalawansa, Phys. Rev. Lett. 880, 68101 (2002).

Publication Dates

  • Publication in this collection
    25 Aug 2003
  • Date of issue
    June 2003

History

  • Accepted
    27 Dec 2002
  • Received
    27 Dec 2002
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