A probabilistic design system for reliability-based design optimization

I Kaymaz, C A McMahon

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A probabilistic design system for reliability-based design optimization problems called ADAPRES_NET is presented in this paper. ADAPRES_NET includes two main features, one of which is the use of an adaptive response surface method by which the probabilistic constraints are replaced with response functions, the other a distributed computing environment by which the computational applications are distributed on a network. The proposed system is presented with an example in which the well-known mechanical part, the connecting rod, is selected. Finally, the evaluation of the probabilistic constraints is also compared with that of the classical reliability methods, and the results indicate the benefit of using ADAPRES_NET.
Original languageEnglish
Pages (from-to)416-426
Number of pages11
JournalStructural and Multidisciplinary Optimization
Volume28
Issue number6
DOIs
Publication statusPublished - 2004

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Probabilistic Constraints
System Design
Response Surface Method
Connecting rods
Distributed computer systems
Adaptive Method
Response Function
Distributed Computing
Optimization Problem
Evaluation
Design optimization

Cite this

A probabilistic design system for reliability-based design optimization. / Kaymaz, I; McMahon, C A.

In: Structural and Multidisciplinary Optimization, Vol. 28, No. 6, 2004, p. 416-426.

Research output: Contribution to journalArticle

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