Efficient strategy for the robust optimization of large scale nonlinear design problems

Balaji Ramakrishnan, Singiresu S Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

A robust optimization procedure that uses the expected value of Taguchi's loss function in formulating and solving large, computationally intensive, nonlinear optimization problems whose analysis is based on a linear system of equations is investigated. An efficient solution scheme that uses approximate expressions for the gradients and employs a fast reanalysis technique for their evaluation is introduced. This approach is validated by solving a simple minimum cost welded beam design problem. The method is then used to obtain the optimal shape of an engine connecting rod subject to stress, buckling and geometric constraints. The methodology presented is expected to save time and reduce computational effort.

Original languageEnglish
Title of host publicationAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Place of PublicationNew York, NY, United States
PublisherASME
Pages25-35
Number of pages11
Volume69-2
StatePublished - Dec 1 1994
Externally publishedYes
EventProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2) - Minneapolis, MN, USA
Duration: Sep 11 1994Sep 14 1994

Other

OtherProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2)
CityMinneapolis, MN, USA
Period9/11/949/14/94

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Efficient strategy for the robust optimization of large scale nonlinear design problems'. Together they form a unique fingerprint.

Cite this