Automated optimal design using concurrent integrated experiment and simulation

D. Knight, G. Elliotty, Y. Jaluria, N. Langranax, K. Rasheed

Research output: Contribution to conferencePaperpeer-review

Abstract

A methodology for automated Multi-criteria Design Optimization (MDO) is de- scribed. The methodology, denoted Data Driven Design Optimization Methodology (DDDOM), incorporates both experiment and simulation in a concurrent, integrated manner wherein the inherent advantages of each approach are leveraged. The approach is an example of a Dynamic Data Driven Application System (DDDAS) wherein the MDO is directed by data gen- erated during the optimization process. The methodology is applicable to a wide range of MDO problems. Current major research problems concerning implementation of the methodology are discussed.

Original languageEnglish (US)
StatePublished - Jan 1 2002
Externally publishedYes
Event9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization 2002 - Atlanta, GA, United States
Duration: Sep 4 2002Sep 6 2002

Other

Other9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization 2002
CountryUnited States
CityAtlanta, GA
Period9/4/029/6/02

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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