Adaptive Finite element approximation of steady flows of incompressible fluids with implicit power-law-like rheology
This work provides a theoretical foundation for adaptive finite element methods in complex fluid models, which is important for computational rheology but is an incremental extension of prior work.
The authors developed an a posteriori error analysis for finite element approximations of implicit power-law-like fluid models and proved weak convergence of an adaptive algorithm to a weak solution. The analysis covers a wide range of exponents and relies on compactness techniques.
We develop the a posteriori error analysis of finite element approximations of implicit power-law-like models for viscous incompressible fluids. The Cauchy stress and the symmetric part of the velocity gradient in the class of models under consideration are related by a, possibly multi--valued, maximal monotone $r$-graph, with $\frac{2d}{d+1}<r<\infty$. We establish upper and lower bounds on the finite element residual, as well as the local stability of the error bound. We then consider an adaptive finite element approximation of the problem, and, under suitable assumptions, we show the weak convergence of the adaptive algorithm to a weak solution of the boundary-value problem. The argument is based on a variety of weak compactness techniques, including Chacon's biting lemma and a finite element counterpart of the Acerbi--Fusco Lipschitz truncation of Sobolev functions, introduced by L. Diening, C. Kreuzer and E. Süli [Finite element approximation of steady flows of incompressible fluids with implicit power-law-like rheology. SIAM J. Numer. Anal., 51(2), 984--1015].