Homogenization of Randomly Deformed Conductivity Resistant Membranes
Wenjia Jing

TL;DR
This paper investigates the homogenization of a randomly deformed, heterogeneous conductivity medium with membranes, deriving an effective deterministic model and explicitly representing the effective coefficients.
Contribution
It introduces a novel homogenization approach for media with randomly deformed membranes, providing explicit formulas for the effective coefficients and solving an auxiliary problem on an infinite interface domain.
Findings
The random conductivity problem is approximated by a deterministic effective medium.
Explicit representation of the effective coefficients is obtained.
The auxiliary problem on an infinite domain with interfaces is solved successfully.
Abstract
We study the homogenization of a stationary conductivity problem in a random heterogeneous medium with highly oscillating conductivity coefficients and an ensemble of simply closed conductivity resistant membranes. This medium is randomly deformed and then rescaled from a periodic one with periodic membranes, in a manner similar to the random medium proposed by Blanc, Le Bris and Lions \cite{BLBL06}. Across the membranes, the flux is continuous but the potential field itself undergoes a jump of Robin type. We prove that, for almost all realizations of the random deformation, as the small scale of variations of the medium goes to zero, the random conductivity problem is well approximated by that on an effective medium which has deterministic and constant coefficients and contains no membrane. The effective coefficients are explicitly represented. One of our main contributions is to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Composite Material Mechanics · Numerical methods in inverse problems
