3. Complementary development (probabilistic approach)
3.1 Cluster combinatorics
The complexity of the previous approach (involving the need for several simulations) can be solved by combinatorial cluster counting in a given grid.
Ergodicity allows us to consider the distribution of clusters in the same grid as the distribution of porosity in the real material.
Random grid generation allows you to introduce a probability law for opening or closing cells.
The probability that a cell taken at random from a grid will be opened is, of course, equal to (intrinsic porosity of the material).
The aim is...
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Complementary development (probabilistic approach)
Linear approach using cross-linked graphs ranked by accessibility to the contaminating agent
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