scispace - formally typeset
A

Augusto Cesar Galeao

Researcher at National Council for Scientific and Technological Development

Publications -  7
Citations -  399

Augusto Cesar Galeao is an academic researcher from National Council for Scientific and Technological Development. The author has contributed to research in topics: Finite element method & Petrov–Galerkin method. The author has an hindex of 6, co-authored 7 publications receiving 379 citations.

Papers
More filters
Journal ArticleDOI

A consistent approximate upwind Petrov—Galerkin method for convection-dominated problems

TL;DR: In this article, a systematic procedure to obtain the appropriate upwind direction and associated Petrov-Galerkin weighting function for the advection-diffusion equation is presented.
Journal ArticleDOI

Adaptive finite element computational fluid dynamics using an anisotropic error estimator

TL;DR: Several adaptive mesh-refinement solutions for interpolation problems are presented in order to show that the proposed optimal adaptive strategy using this anisotropic error estimator recovers optimal and/or superconvergent rates.
Journal ArticleDOI

Finite element analysis of convection dominated reaction-diffusion problems

TL;DR: The numerical analysis of the CAU (Consistent Approximate Upwind) Petrov-Galerkin method of convection dominated reaction-diffusion problems is presented, which improves the well-known h-version error analysis and improves the a priori analysis for shock-capturing methods.
Journal ArticleDOI

An adaptive Petrov-Galerkin formulation for the compressible Euler and Navier-Stokes equations

TL;DR: In this article, a stable Petrov-Galerkin formulation for the compressible Euler and Navier-Stokes equations with an h-adaptive remeshing refinement, including directional stretching and stretching ratio in the mesh regeneration procedure, is presented.
Journal ArticleDOI

Feedback Petrov-Galerkin methods for convection-dominated problems

TL;DR: The Petrov-Galerkin method is adaptively applied to convection-dominated problems and a feedback function is created which increases or decreases the control of the gradient of the approximate solution, leading to a method with good stability properties close to boundary layers and high accuracy where regular solutions do occur.