Optimal structure formation using a chaotic self-organisational algorithm

  • Authors:
  • W. M. Payten;B. Ben-Nissan

  • Affiliations:
  • Australian Nuclear Science and Technology Organisation, (ANSTO), Advanced Materials, Private Mail Bag 1, Menai, NSW 2234, Australia;University of Technology Sydney, Materials Science, PO Box 123, Broadway, NSW 2007, Australia

  • Venue:
  • Computers and Graphics
  • Year:
  • 1997

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Abstract

Optimal engineering shape design is becoming increasingly important as the efficient utilisation of material can account for significant cost savings during production. Traditional optimisation techniques based on finite element analysis using functional or variational calculus find this task difficult, as the design landscape is one in which the optimisation problem can be non-convex and hence the solution may have many local optima. The approach adopted in this work is based on a self-organisational system governed by a local state operator that defines the state of each element in the finite element mesh at each time step. This operator has the form of a nonlinear differential equation based on the use of strain energy density and is an extension of an expression originally developed for predicting morphogenetic density distributions in natural human bone.