Micro-scale truss optimization using genetic algorithm

Research Paper

Abstract

This paper describes the development of a genetic algorithm that is capable of optimizing the mass of micro-scale trusses. Belonging to the group of periodic cellular materials, micro-scale trusses are characterized by the creation of a base cell with a pattern that is repeated in space until a global structure is obtained. Investigation in this field has generally been focused on the design of base cells and their resistance once the final structure is obtained. In this project we have attempted to optimize each individual cell and in particular its elements according to the loads and boundary conditions applied to the global structure. With this objective, we defined a dichotomic search algorithm that establishes a set of cross-sectional areas suitable for the micro-scale truss, formulated the penalty coefficient for the over-sized elements, and studied the clones and rebirth process in order to avoid stagnation of the genetic algorithm. The cell elements used in this project were equal to or less than to 1 mm long, with a cross-sectional area in the order of 10 − 9 m2.

Keywords

Micro-scale truss Genetic algorithm Initialization Penalty coefficient 

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  1. 1.Construction and Production Engineering DepartmentUniversity of OviedoMieresSpain
  2. 2.Département de Génie MécaniqueUniversité de SherbrookeSherbrookeCanada

Personalised recommendations