This study has been inspired to some experimental results about the
slow chemical etching of thin (almost 2d) aluminum films immerged in
a finite volume of a corrosive solution. The experiments consisted
in monitoring the evolution of the corrosion front. One observes that
this evolution is very rapid at an early stage and then slow down up to
stop in a static situation. In this state the chemical concentration of the
etchant in the solution is significative and the final corrosion front
is fractal up to a characteristic scale with fractal dimension D~1.33.
Our theoretical study consisted in the
mathematical and numerical analysis of a dynamical model for
this chemical etching of thin films of a disordered solid by a finite
volume of a corrosive solution [24][32]. The results of this model agree
very well with both the dynamical evolution and the fractal
geometrical properties of the final corrosion front observed in the
experiments. Furthermore we have shown, through a random field theory
approach to this dynamical model, that it belongs to the random
percolation universality class and in particular to the one of
gradient percolation [28][49]. Finally, we have used this model to
study the statistics of the chemical fracture events of these systems.
To this aim we have followed a combined approach of percolation theory and
probability theory of extremal events finding a good theoretical
prediction for the probability law of failure events [37].