An efficient sensitivity computation strategy for the evolutionary structural optimization (ESO) of continuum structures subjected to self-weight loads

  • Authors:

  • Rubén Ansola;Javier Canales;José A. Tárrago

  • Affiliations:

  • Department of Mechanical Engineering, Escuela Superior de Ingeniería, University of The Basque Country, Alda, Urquijo s/n, Bilbao, Spain;Department of Mechanical Engineering, Escuela Superior de Ingeniería, University of The Basque Country, Alda, Urquijo s/n, Bilbao, Spain;Department of Mechanical Engineering, Escuela Superior de Ingeniería, University of The Basque Country, Alda, Urquijo s/n, Bilbao, Spain

  • Venue:
  • Finite Elements in Analysis and Design
  • Year:
  • 2006

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Abstract

This work presents a modified version of the evolutionary structural optimization procedure for topology optimization of continuum structures subjected to self-weight forces. Here we present an extension of this procedure to deal with maximum stiffness topology optimization of structures when different combinations of body forces and fixed loads are applied. Body forces depend on the density distribution over the design domain. Therefore, the value and direction of the loading are coupled to the shape of the structure and they change as the material layout of the structure is modified in the course of the optimization process. It will be shown that the traditional calculation of the sensitivity number used in the ESO procedure does not lead to the optimum solution. Therefore, it is necessary to correct the computation of the element sensitivity numbers in order to achieve the optimum design. This paper proposes an original correction factor to compute the sensitivities and enhance the convergence of the algorithm. The procedure has been implemented into a general optimization software and tested in several numerical applications and benchmark examples to illustrate and validate the approach, and satisfactorily applied to the solution of 2D, 3D and shell structures, considering self-weight load conditions. Solutions obtained with this method compare favourably with the results derived using the SIMP interpolation scheme.