Abstract

Solutions to engineering design problems formulated as nonlinear programming (NLP) problems usually require the use of more than one optimization technique. Moreover, the interaction between the user (analysis/synthesis) program and the NLP system can lead to interface, scaling, or convergence problems. An NLP solution system is presented that seeks to solve these problems by providing a programming system to ease the user-system interface. A simple set of rules is used to select an optimization technique or to switch from one technique to another in an attempt to detect, diagnose, and solve some potential problems. Numerical examples involving finite element based optimal design of space trusses and rotor bearing systems are used to illustrate the applicability of the proposed methodology.

Original languageEnglish (US)
Pages (from-to)455-474
Number of pages20
JournalJournal of Structural Mechanics
Volume14
Issue number4
StatePublished - 1986

Fingerprint

nonlinear programming
design optimization
Nonlinear programming
Nonlinear Programming
Bearings (structural)
trusses
Trusses
Computer systems programming
optimization
Optimization Techniques
programming
rotors
Program Synthesis
switches
Rotors
Switches
engineering
methodology
Potential Problems
scaling

ASJC Scopus subject areas

  • Engineering(all)

Cite this

HYBRID NONLINEAR PROGRAMMING METHOD FOR DESIGN OPTIMIZATION. / Rajan, Subramaniam.

In: Journal of Structural Mechanics, Vol. 14, No. 4, 1986, p. 455-474.

Research output: Contribution to journalArticle

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