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An exploration of the role of system level variable choice in multidisciplinary design

  • Tomonori Honda
  • , Francesco Ciucci
  • , Saket Kansara
  • , Kemper E. Lewis
  • , Maria C. Yang
  • Massachusetts Institute of Technology
  • Heidelberg University 
  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The process of designing large engineering systems can involve extensive sharing of resources among many competing subsystems. These resources may be represented as design parameters that are shared between the system level and each subsystem. Frameworks for understanding the role of the choice of system level design variables on overall system design may be valuable for the synthesis of complex engineering systems. This paper examines the outcome of Multidisciplinary Design Optimization (MDO) using three distinct combinations of system level variables on a satellite design example. The results of these sets of system level variables are compared on their convergence time and robustness.

Original languageEnglish
Title of host publication13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2010
DOIs
StatePublished - 2010
Event13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, MAO 2010 - Ft. Worth, TX, United States
Duration: Sep 13 2010Sep 15 2010

Publication series

Name13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2010

Conference

Conference13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, MAO 2010
Country/TerritoryUnited States
CityFt. Worth, TX
Period09/13/1009/15/10

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