Genetic Algorithms in Topological Design of Grillage Structures

  • P. Hajela
  • E. Lee
Part of the International Union of Theoretical and Applied Mechanics book series (IUTAM)

Abstract

The present paper describes the use of genetic algorithms (GA’s) in determining the optimal layout and sizing of grillage structures for stress and displacement constraints. The design space for this problem is highly nonconvex, and not readily amenable to traditional methods of nonlinear programming. The approach develops an optimal topology from a set of predefined structural elements so as to satisfy kinematic stability requirements in addition to the usual constraints of structural strength and stiffness. A two-level GA based search is used, wherein the kinematic stability constraints are imposed at one level, followed by the treatment of stress and displacement constraints at a second level of optimization. Since GA’s search for an optimal design from a discrete set of alternatives in the design space, their adaptation in the topological design problem is natural, and is governed only by issues related to computational efficiency. Strategies designed to alleviate the computational requirements of a GA based search are discussed in the paper.

Keywords

Genetic algorithms grillage topological optimization discrete design variables 

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Copyright information

© Springer-Verlag, Berlin Heidelberg 1994

Authors and Affiliations

  • P. Hajela
    • 1
  • E. Lee
    • 1
  1. 1.Mechanical Engineering, Aeronautical Engineering & MechanicsRensselaer Polytechnic InstituteTroyUSA

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