  Mechanical modelling of poroelastic media under finite strain is usually
carried out via phenomenological models neglecting complex micro-macro scales
interdependency. One reason is that the mathematical two-scale analysis is only
straightforward assuming infinitesimal strain theory. Exploiting the potential
of ANNs for fast and reliable upscaling and localisation procedures, we propose
an incremental numerical approach that considers rearrangement of the cell
properties based on its current deformation, which leads to the remodelling of
the macroscopic model after each time increment. This computational framework
is valid for finite strain and large deformation problems while it ensures
infinitesimal strain increments within time steps. The full effects of the
interdependency between the properties and response of macro and micro scales
are considered for the first time providing more accurate predictive analysis
of fluid-saturated porous media which is studied via a numerical consolidation
example. Furthermore, the (nonlinear) deviation from Darcy's law is captured in
fluid filtration numerical analyses. Finally, the brain tissue mechanical
response under uniaxial cyclic test is simulated and studied.
