Oct 2026· ESAIM: Mathematical Modelling and Numerical Analysis· 0 citations
Advanced Numerical Methods in Computational Mathematics
Abstract
We propose and analyze new mixed finite element methods for the linear poroelasticity problem,
which models the coupled phenomena of fluid diffusion and solid deformation. The formulation
is based on the introduction of the vorticity and the strain tensor as auxiliary unknowns, which makes it possible
to eliminate the fluid content from the system. The latter can then be recovered from the
strain tensor and the pressure. Then, by incorporating a multiple of the pressure
gradient as an additional unknown, we arrive at an operator equation showing a threefold
saddle-point structure, which, in turn, is perturbed by a term depending on the pressure variable.
The well-posedness of the continuous formulation is established through a suitable extension
of the usual Babu\v{s}ka--Brezzi theory, which yields a new abstract result, along with a recently
developed approach to analyze perturbed saddle-point problems. The discrete analysis follows a
similar strategy, employing arbitrary finite element spaces satisfying suitable assumptions.
In particular, we provide concrete examples based on PEERS elements and derive the corresponding
convergence rates. Finally, several numerical experiments are presented, which confirm the theoretical
results and illustrate the good performance of the methods.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
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