Table of Content

Open AccessOpen Access


Topology Optimization of 2D Potential Problems Using Boundary Elements

Adrián P. Cisilino1

Welding and Fracture Division, Faculty of Engineering, University of Mar del Plata, Av. Juan B. Justo 4302, 7600 Mar del Plata, Argentina. Email:

Computer Modeling in Engineering & Sciences 2006, 15(2), 99-106.


Topological Optimization provides a powerful framework to obtain the optimal domain topology for several engineering problems. The Topological Derivative is a function which characterizes the sensitivity of a given problem to the change of its topology, like opening a small hole in a continuum or changing the connectivity of rods in a truss.
A numerical approach for the topological optimization of 2D potential problems using Boundary Elements is presented in this work. The formulation of the problem is based on recent results which allow computing the topological derivative from potential and flux results. The Boundary Element analysis is done using a standard direct formulation. Models are discretized using linear elements and a periodic distribution of internal points over the domain. The total potentialenergy is selected as cost function. The evaluation of the topological derivative at internal points is performed as a post-processing procedure. Afterwards, material is removed from the model by deleting the internal points with the lowest (or highest depending the nature of the problem) values of the topological derivate. The new geometry is then remeshed using a weighted Delaunay triangularization algorithm capable ofdetecting “holes” at those positions where internal points have been removed. The procedure is repeated until a given stopping criteria is satisfied.
The proposed strategy proved to be flexible and robust. A number of examples are solved and results are compared to those available in the literature.


Cite This Article

Cisilino, A. P. (2006). Topology Optimization of 2D Potential Problems Using Boundary Elements. CMES-Computer Modeling in Engineering & Sciences, 15(2), 99–106.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 922


  • 819


  • 0


Share Link