4 papers
Adaptive refinement in defeaturing problems via an equilibrated flux a posteriori error estimator
Annalisa Buffa, Denise Grappein, Rafael Vázquez
An adaptive refinement strategy, based on an equilibrated flux a posteriori error estimator, is proposed in the context of defeaturing problems. Defeaturing consists of removing fe…
A Recovery-Based Error Indicator for Finite Difference Methods
Ferhat Sindy, Annalisa Buffa, Marco Picasso
A novel recovery-based error indicator for high-order Finite Difference Methods, based on post-processing of the Finite Difference values is presented. The values obtained on the F…
A Certified Goal-Oriented A Posteriori Defeaturing Error Estimator for Elliptic PDEs
Philipp Weder, Annalisa Buffa
Defeaturing, the process of simplifying computational geometries, is a critical step in industrial simulation pipelines for reducing computational cost. Rigorous a posteriori estim…
Analysis-Aware Defeaturing of Dirichlet Features
Philipp Weder, Annalisa Buffa
Feature removal from computational geometries, or defeaturing, is an integral part of industrial simulation pipelines. Defeaturing simplifies the otherwise costly or even impossibl…