Tag: FEM

avances13

Detección de daños en una armadura unidimensional por medio del algoritmo de optimización de la luciérnaga y elementos finitos

Investigadores del grupo GIEMA publicaron resultados de su trabajo en la revista Avances:

J. M. Pachón, O. A. González-Estrada, and H. G. Sánchez Acevedo, “Detección de daños en una armadura unidimensional por medio del algoritmo de optimización de la luciérnaga y elementos finitos,” Rev. Av., vol. 13, no. 1, pp. 1–7, 2016.

http://www.unilibre.edu.co/bogota/ul/noticias/noticias-universitarias/2917-deteccion-de-danos-en-una-armadura-unidimensional-por-medio-del-algoritmo-de-optimizacion-de-la-luciernaga-y-elementos-finitos

Abstract

In this paper, we investigate the damage detection of structures seen as an optimization problem, using modal characterization to evaluate the dynamic response of the structure given a damage model. We implemented the firefly optimization algorithm with a simple numerical damage model to assess the performance of the method and its advantages for structural health monitoring (SHM). We show some implementation details and discuss the obtained results

Keywords:

Firefly algorithm, optimization, finite element method, modal analysis, structural health monitoring

S00457825

Error-controlled adaptive extended finite element method for 3D linear elastic crack propagation

El investigador Andrés González-Estrada ha publicado resultados de su trabajo en CMAME, revista Top A1 del área:

Jin, Y., González-Estrada, O. A., Pierard, O., & Bordas, S. P. A. (2017). Error-controlled adaptive extended finite element method for 3D linear elastic crack propagation. Computer Methods in Applied Mechanics and Engineering.

http://dx.doi.org/10.1016/j.cma.2016.12.016

Abstract

We present a simple error estimation and mesh adaptation approach for 3D linear elastic crack propagation simulations using the eXtended Finite Element Method (X-FEM). A global extended recovery technique (Duflot and Bordas, 2008) is used to quantify the interpolation error. Based on this error distribution, four strategies relying on two different mesh optimality criteria are compared. The first aims at homogenizing the error distribution. The second minimizes the total number of elements given a target global error level. We study the behaviour of these criteria in the context of cracks treated by an X-FE approach. In particular, we investigate the convergence rates at the element-level depending its enrichment type. We conclude on the most suitable refinement criterion and propose and verify a strategy for mesh adaptation on 3D damage tolerance assessment problems.

Keywords

  • Error estimation;
  • Mesh adaptivity;
  • X-FEM;
  • Crack propagation
luxembourg_logo

Thomson Reuters Highly Cited Researchers

http://wwwen.uni.lu/fstc/actualites/computational_sciences_conclude_a_flourishing_year

Stéphane Bordas, Professor and Head of the Strategic Computational Sciences Priority at the University of Luxembourg has been selected for the second consecutive year by the Thomson Reuters agency as one of the world’s most influential scientific minds in the field of computer science. The 2016 ranking takes into account the highly cited papers in science and social sciences journals over an 11-year period 2004-2014.

Stéphane has recently accepted to work in the committees of Revista UIS Ingenierías. Congratulations to Stéphane and let us keep up the collaboration for the coming years.