An improved approximation technique for the DCOC method of sizing optimization

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3 Citations (Scopus)

Abstract

A recently developed optimality criteria method termed DCOC has been shown to improve the efficiency of OC methods significantly. The improvement achieved by this method is due to the fact that the Lagrangian multipliers (also termed dual variables) associated with stress constraints are evaluated explicitly and therefore the time consuming computation of generating Langrangian multipliers is highly reduced. The iterative procedure of DCOC presented in [1]- [2] is based on an approximation of the displacement, constraints expressed by means of the virtual work principle. The quality of this approximation has been found to be rather poor in certain cases, which causes certain fluctuation during the iterative process. In this paper, a DCOC iterative algorithm using reciprocal linear approximation of the displacement restraints is presented. It is shown by numerical examples that the proposed algorithm improves considerably the iterative performance.

Original languageEnglish
Pages988-994
Number of pages7
DOIs
Publication statusPublished - Jan 1 1994
Event5th Symposium on Multidisciplinary Analysis and Optimization, 1994 - Panama City Beach, United States
Duration: Sep 7 1994Sep 9 1994

Conference

Conference5th Symposium on Multidisciplinary Analysis and Optimization, 1994
CountryUnited States
CityPanama City Beach
Period9/7/949/9/94

ASJC Scopus subject areas

  • Mechanical Engineering
  • Aerospace Engineering

Cite this

Zhou, M., & Rozvany, G. I. N. (1994). An improved approximation technique for the DCOC method of sizing optimization. 988-994. Paper presented at 5th Symposium on Multidisciplinary Analysis and Optimization, 1994, Panama City Beach, United States. https://doi.org/10.2514/6.1994-4360