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Dimension reduction and decomposition using causal graph and qualitative analysis for aircraft concept design optimization

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

Details

Original languageEnglish
Title of host publication43rd Design Automation Conference
PublisherThe American Society of Mechanical Engineers ASME
ISBN (Electronic)9780791858134
DOIs
Publication statusPublished - 2017
Publication typeA4 Article in a conference publication
EventInternational Design Engineering Technical Conferences and Computers and Information in Engineering Conference -
Duration: 1 Jan 2000 → …

Conference

ConferenceInternational Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Period1/01/00 → …

Abstract

With the increasing design dimensionality, it is more difficult to solve Multidisciplinary design optimization (MDO) problems. To reduce the dimensionality of MDO problems, many MDO decomposition strategies have been developed. However, those strategies consider the design problem as a black-box function. In practice, the designers usually have certain knowledge of their problem. In this paper, a method leveraging causal graph and qualitative analysis is developed to reduce the dimensionality of the MDO problem by systematically modeling and incorporating knowledge of the design problem. Causal graph is employed to show the input-output relationships between variables. Qualitative analysis using design structure matrix (DSM) is carried out to automatically find the variables that can be determined without optimization. According to the weight of variables, the MDO problem is divided into two sub-problems, the optimization problem with respect to important variables, and the one with less important variables. The novel method is performed to solve an aircraft concept design problem and the results show that the new dimension reduction and decomposition method can significantly improve optimization efficiency.

Keywords

  • Aircraft concept design, Causal graph, Dimension reduction, Dimensional analysis, Multidisciplinary design optimization

Publication forum classification

Field of science, Statistics Finland