An introductory review on a posteriori error estimation in finite element computations
L Chamoin, F Legoll - SIAM Review, 2023 - SIAM
This article is a review of basic concepts and tools devoted to a posteriori error estimation for
problems solved with the finite element method. For the sake of simplicity and clarity, we …
problems solved with the finite element method. For the sake of simplicity and clarity, we …
Hybridizable discontinuous Galerkin with degree adaptivity for the incompressible Navier–Stokes equations
A degree adaptive Hybridizable Discontinuous Galerkin (HDG) method for the solution of the
incompressible Navier–Stokes equations is presented. The key ingredient is an accurate …
incompressible Navier–Stokes equations is presented. The key ingredient is an accurate …
Hybridizable discontinuous Galerkin p‐adaptivity for wave propagation problems
G Giorgiani, S Fernández‐Méndez… - International Journal for …, 2013 - Wiley Online Library
SUMMARY A p‐adaptive hybridizable discontinuous Galerkin method for the solution of
wave problems is presented in a challenging engineering problem. Moreover, its …
wave problems is presented in a challenging engineering problem. Moreover, its …
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM
V Tsiolakis, M Giacomini, R Sevilla, C Othmer… - Computer physics …, 2020 - Elsevier
The computational cost of parametric studies currently represents the major limitation to the
application of simulation-based engineering techniques in a daily industrial environment …
application of simulation-based engineering techniques in a daily industrial environment …
[HTML][HTML] Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information
M Giacomini, S Perotto - Computers & Mathematics with Applications, 2022 - Elsevier
A finite element-based image segmentation strategy enhanced by an anisotropic mesh
adaptation procedure is presented. The methodology relies on a split Bregman algorithm for …
adaptation procedure is presented. The methodology relies on a split Bregman algorithm for …
On the optimum support size in meshfree methods: a variational adaptivity approach with maximum‐entropy approximants
We present a method for the automatic adaption of the support size of meshfree basis
functions in the context of the numerical approximation of boundary value problems …
functions in the context of the numerical approximation of boundary value problems …
HDG-NEFEM with degree adaptivity for Stokes flows
The NURBS-enhanced finite element method (NEFEM) combined with a hybridisable
discontinuous Galerkin (HDG) approach is presented for the first time. The proposed …
discontinuous Galerkin (HDG) approach is presented for the first time. The proposed …
Guaranteed computable bounds on quantities of interest in finite element computations
M Ainsworth, R Rankin - International journal for numerical …, 2012 - Wiley Online Library
We develop and compare a number of alternative approaches to obtain guaranteed and
fully computable bounds on the error in quantities of interest of arbitrary order finite element …
fully computable bounds on the error in quantities of interest of arbitrary order finite element …
A posteriori error estimation and adaptive strategy for PGD model reduction applied to parametrized linear parabolic problems
We define an a posteriori verification procedure that enables to control and certify PGD-
based model reduction techniques applied to parametrized linear elliptic or parabolic …
based model reduction techniques applied to parametrized linear elliptic or parabolic …
[HTML][HTML] Numerical model reduction with error control in computational homogenization of transient heat flow
E Aggestam, F Larsson, K Runesson, F Ekre - Computer Methods in …, 2017 - Elsevier
Abstract Numerical Model Reduction (NMR) is exploited for solving the finite element
problem on a Representative Volume Element (RVE) that arises from the computational …
problem on a Representative Volume Element (RVE) that arises from the computational …